AI Workflow Automation for Businesses

Your workflows run on documents.
We make them run on intelligence.

easybits finds where AI creates real value in your operations, builds it in weeks, and connects it to the systems you already run. No consultancy delays. No migration risk. No engineering team required.

Book a Discovery Call See What We Have Built
3 weeks avg.
From first call to live system
80%
Reduction in processing costs
100%
Extraction accuracy
Zero
System replacement required
German infrastructure · GDPR compliant · Zero data retention

The AI Opportunity Right Now

Every Business Hears About AI.
Almost None Have Put It to Work.

The companies winning the next decade are not the ones with the biggest budgets. They are the ones implementing AI correctly, before their competitors do.

84%
of GCC organisations have adopted AI
11%
are seeing real business impact from it
80%
reduction in operational processing costs with automation

McKinsey GCC AI Report · Ardent Partners, APQC and IOFM

We Work Alongside You. From Design to Go-Live.

Not a SaaS subscription you figure out alone. We analyze your workflows, design the automation, and build it inside your operations. Hands on, start to finish.

Results in Weeks, Not Months

Traditional consultancies take 6 to 12 months before anything goes live. Our clients typically reach a working proof of concept on their real data in 3 weeks.

Your Team Gets More Done

AI does not replace your workforce. It eliminates the repetitive work that slows them down. Same team, dramatically more volume, fewer errors in less time.

The Alternatives Are Broken

Three Options. All Painful.
All Still Too Common.

Before easybits, every company with document-heavy operations faced the same three bad choices. Most are still choosing between them.

01

Large Consultancies

Custom AI implementations from major firms take 6 to 12 months and arrive with maintenance contracts that never end. You pay hundreds of thousands before you see a single live result.

€100,000 to €500,000 per projectGartner 2024 and Leanware market benchmarking
02

Outsourced Data Entry Teams

BPO teams deliver manual work at significant monthly cost, with error rates that compound over time. Scaling means more people and more cost.

€3,000 to €10,000 per monthiSuporta and Text.com comparative pricing
03

Internal Manual Processing

Your own staff reading invoices, purchase orders, contracts, and reports, then typing everything into systems by hand. Hours disappear every day. Errors are invisible until they cost you.

Hidden cost: hours and errors every dayAPQC Process Benchmarking 2025

How easybits Is Different

Nothing Gets Replaced.
Everything Gets Smarter.

Your ERP, CRM, spreadsheets, and legacy systems all stay. We build the intelligent layer that connects them.

Multi-System Integration

Every system you depend on stays in place. We build the layer that makes data flow between them automatically.

✓ Connects everything. Replaces nothing.

Any Document, Any Format

PDFs, scans, photos, emails, portal uploads. Arabic, English, French, and 15+ languages supported. If your suppliers send it, we can process it.

✓ Any language, any format

Scales Without Adding Headcount

Whether you process 100 documents or 100,000, your headcount stays the same. The system handles extraction and routing while your team focuses on decisions.

✓ Fixed cost as volume grows

How We Work

We Design It, Build It,
and Hand It to You Running.

Every implementation follows the same three stages. Automation built into your systems, live in weeks. AI is evolving fast. The companies that win are not chasing every trend. They are deploying where it actually works.

1

Discovery

We map your document workflows, find the highest-impact processes, and design the automation architecture. You understand exactly what we are building before we build it.

Week 1
2

Proof of Concept

A live system processing your actual documents with real output you can verify. We prove it works on your terms before you commit to anything further.

Weeks 2 to 3
3

Production

The proof of concept becomes your live production system. We connect it to your existing infrastructure, train your team, and stay on to support and scale. Yours to run.

Week 4 onward
Any Document Format

PDF, Excel, scanned images, emails, photos

Accepted
Over 15 Languages, Native

Multilingual extraction in over 15 languages, without additional configuration

Native
Legacy System Integration

Oracle, SAP, any ERP, CRM, custom portals

Connected
Validated Structured Output

Clean data, full audit trail, zero manual cleanup

Verified
Automated Routing

Documents flow directly into your existing workflows

Automated

Built and Running in Production

Workflows We Have Automated.
Problems We Have Solved.

These are not prototypes or demos. Each one is a production system delivering results today inside a real business operation.

📦 Procurement

Purchase Order Processing

60+ line items across 10 pages. Standard tools miss rows, mix quantities, and fabricate values. Staff verify every field by hand.

Up to 95% reduction in data entry errors
DOC IN
→
HDR
FTR
ITEMS
DETAIL
AI SUM
→
MERGE
→
OUTPUT
✓
Every field validated. One clean, merged output per document.
See this system →
01
💰 Finance and Accounts

Invoice and Payment Reconciliation

Invoices arrive by email, receipts via messaging apps, bank statements as downloads. Nothing connects. Finance matches everything by hand.

82% faster invoice processing
EMAIL
SCAN
PORTAL
MSG
→
EXTRACT
→
MATCH
→
✓ CONFIRMED
⏳ PENDING
⚠ OVERDUE
✓
Payments matched automatically. Overdue items flagged daily. Zero manual reconciliation.
See this system →
02
🛒 Retail and Supply Chain

Multilingual Product Catalog Ingestion

Product data arrives in Arabic, English, and over 15 languages across Excel files, PDFs, and scanned price lists with different structures every time. Thousands of records re-entered manually.

Any language. Any format. One unified output.
🇸🇦 AR
🇬🇧 EN
MIXED
→
DETECT
→
NORMALISE
→
CLASSIFY
→
FASHION
FOOD
→
ERP
✓
Routed by category. Written directly to ERP with full audit trail.
See this system →
03
🏥 Insurance and Claims

Insurance Claims Processing

Claims arrive as photos, scans, PDFs, and portal uploads. Each format requires a different manual process. One Top 100 insurer spent 10 days per claim.

Claims processed in under 3 days. Down from 10.
📱 PHOTO
📧 PDF
📄 SCAN
🌐 PORTAL
→
CLASSIFY
→
EXTRACT
→
VALIDATE
→
CLAIMS SYS
✓
80% cost reduction. Claims processed in under 3 days.
See this system →
04
Explore All Use Cases

Why easybits

Consultancy Results.
SaaS Pricing. Weeks, Not Months.

easybits delivers what large consultancies promise but without the 12-month wait, the million-dirham budget, or the team of engineers you have to hire and manage afterward. For over 24,000 SMEs in the region, this is finally an accessible path to real AI advantage.

What You Get
Traditional
easybits
Live in 3 weeks
✕
✓
Multi-system integration
✕
✓
Any document format
✕
✓
No engineering team on your side
✕
✓
Works with legacy systems
✕
✓
Full audit trail and transparency
✕
✓
Scales without adding headcount
✕
✓
Automation Discovery Sprint
✕
✓
The DMS could not tell a lease from an invoice. Now it classifies every document in seconds.

Property Management

“

We work with 40 property managers who all struggle with the same problem: documents get scanned, but the DMS has no idea what it is looking at. easybits solved that completely. The classification accuracy is remarkable, and the integration into EcoDMS was seamless. This is the kind of automation our clients have been waiting years for.

MK
Maurice Kowalski DMS Expert and AI Automations, ecoDMS Qualified Premium Reseller Virtual Data Systems GmbH and Co. KG Brandenburg, Germany
80% Reduction in manual filing time
Zero Misfiled documents in output
Instant Classification at moment of scan
40 Property managers in immediate use
6 to 12 months is the industry average. Our solution was live in 3 weeks.

Insurance and Claims Processing

“

easybits gave us the toolkit to deploy our hardest use cases fast. We took document-heavy processes that were breaking our operations and turned them into structured, automated workflows connected directly to our existing systems. The speed from proof of concept to production was unlike anything we had seen from a technology partner before.

BT
Bilal Turkmen CEO, Destech Technology Group, deployed inside a Top 100 European Insurer, Turkey Destech Technology Group Istanbul, Turkey
10→3 Days per claim, reduced from 10 to under 3
97% Manual cleanup eliminated
80% Reduction in processing costs
3 weeks From concept to production

Built on Trust

Security and Compliance From Day One

As a German company, data protection is the foundation we built on, not a feature we added later.

German Infrastructure

All processing runs on European servers. Your documents never leave the continent. Data residency is guaranteed by law.

Zero Data Retention

Documents are deleted immediately after extraction completes. No copies, no cache, no retention period of any kind.

GDPR Compliant

We operate under the world's strictest data protection regulation. Compliance is built into every process and every deployment.

Full Audit Trail

Every extraction field is visible, typed, and validated. No black box. Every decision the system makes is explainable and logged.

Start the Conversation

Start With a Map.
Build What Matters.

We identify your highest-impact automation opportunity, design the workflow, and hand you a complete plan. No commitment required.

Book a Free Discovery Call Send Your Use Case by Email

Most clients move to production immediately after the Discovery Sprint. You leave with a complete plan on your actual documents either way.

No commitment GDPR compliant 30-minute call

AUTOMATED WORKFLOWS BY INDUSTRY

Behind every manual workflow, there is a document waiting to be understood. Here is what we automate.

These are production systems, not demos. Each one eliminates a specific manual workflow for a real business operation.

🏥 Insurance and Claims
Insurance Claims Processing
Claims arrive as mobile photos, scanned forms, emailed PDFs, and portal uploads. Each format required a different manual process and took 10 days per claim.
Claims processed in under 3 days. Down from 10.
Claim PDFPhotoScan→Extract→Validate→ApprovedReviewFlagged
💰 Finance and Accounts
Invoice and Payment Reconciliation
Invoices arrive across email, messaging apps, and file uploads. Finance teams spend hours every week manually matching payments to invoices with no automated connection between any of them.
82% faster invoice processing
EmailScanPortal→Extract→Match→ConfirmedPendingOverdue
💰 Finance and Accounts
Bank Statement Reconciliation
Bank statements arrive monthly as PDF downloads. Cross-referencing them against invoices and purchase orders is done by hand, line by line, taking days every accounting cycle.
Hours of manual reconciliation eliminated per cycle
StatementCSVPDF→Extract→Reconcile→MatchedPartialUnmatched
🛒 Retail and Supply Chain
Multilingual Product Catalog Ingestion
Suppliers send product data in Arabic, English, and over 15 languages across Excel files, PDF catalogs, and scanned price lists. Procurement teams re-enter thousands of records manually before any item reaches the ERP.
Any language. Any format. One unified output.
Catalog PDFSupplier List→Extract→Translate→Normalise→PIM / ERP
📦 Retail and Supply Chain
Purchase Order Processing
Suppliers send purchase orders in different formats, layouts, and languages. Staff read each one and enter line items manually, verifying quantities and prices before any order can move forward.
Up to 95% reduction in data entry errors
EmailScanPortal→Extract→Validate→ConfirmedMismatchRejected
📦 Retail and Supply Chain
Supplier Onboarding
Adding a new supplier requires collecting registration documents, trade licenses, bank details, and compliance certificates across email threads and manual checklists. Each onboarding takes days.
Supplier activation from days to hours
LicenseCertificateTax ID→Extract→Verify→ApprovedIncompleteExpired
🚢 Logistics and Trade
Customs and Trade Documentation
Bills of lading, customs declarations, and shipping manifests arrive from multiple carriers in multiple formats. Every shipment requires manual data entry before goods can be cleared and inventory updated.
Clearance documentation processed in minutes, not hours
Bill of LadingInvoiceCertificate→Extract→Cross-check→ClearedHeldFlagged
👤 Human Resources
HR Document Onboarding
New hire onboarding involves collecting identity documents, signed contracts, bank details, and compliance forms across email, PDF, and paper. HR teams process each file manually and chase missing documents for weeks.
New hire onboarding documents processed on day one
ID / PassportContractCertificate→Extract→Validate→HRIS / Payroll
🏢 Real Estate and Contracts
Contract Extraction and Review
Contracts, lease agreements, and legal documents contain critical data buried across dozens of pages. Extracting key terms, dates, obligations, and renewal conditions manually is slow and creates compliance risk.
Key contract data extracted and structured in seconds
PDFScanSigned Doc→Extract→Flag Risks→CMS + Calendar
🏢 Real Estate and Contracts
Document Classification and Invoice Automation
Every scanned document arrives in the DMS without a name or category. Someone opens it, decides what it is, and files it manually. Misfiling costs hours every week across an entire portfolio.
80% reduction in manual filing time
ScanPDFPhoto→Classify→Route→DMS + Accounting
⛽ Energy and Resources
Procurement and Compliance Document Processing
Purchase orders, vendor invoices, and compliance certificates arrive in Arabic, English, and over 15 languages from dozens of suppliers. Each document enters a different manual process. Errors compound across every workflow.
Up to 85% reduction in manual processing costs
POInvoiceCertificate→Extract→3-Way Match→ConfirmedDiscrepancyBlocked
⚖️ Legal
Contract Review and Clause Extraction
Lawyers and paralegals manually read contracts to extract key clauses, dates, obligations, and party details. A single contract review takes hours. Portfolios of hundreds make due diligence a bottleneck.
Up to 90% reduction in contract review time
ContractPDFScan→Extract Clauses→Flag Risks→CMS + Calendar
🎓 Education
AI-Powered Exam Grading Co-Pilot
A teacher with 30 students spends 4 to 6 hours grading a single exam set. Feedback arrives days later, too late to change how a student prepares for the next one.
Up to 80% reduction in grading costs
PDFScanPhoto→Extract Answers→Grade + Explain→Report + Score
📋 Procurement
Tender and Bid Intelligence
Government tenders run to hundreds of pages. Most teams read them manually, miss submission windows, and cannot tell which ones are worth pursuing.
Up to 90% reduction in tender analysis time
RFP PDFPortal→Extract→Score→BidNo Bid
🛒 Retail and Supply Chain
Inventory Reorder Automation
Stock levels are checked manually or not at all. Teams discover stockouts after sales are already lost. Overstock sits on shelves while fast-movers run dry.
20 to 50% reduction in stockouts
POS DataStock Level→Monitor→Trigger→Purchase Order
🚛 Logistics and Trade
Delivery Route Optimization
Route planning is done manually each morning. Drivers take inefficient paths. Fuel costs compound daily and delivery windows are missed without a clear way to prevent it.
10 to 25% reduction in fuel and delivery costs
OrdersMap Data→Optimize→Assign→Driver Manifest
💎 Retail and Supply Chain
VIP Client Relationship Automation
High-value customers receive generic outreach or nothing at all. Sales staff have no system to track purchase history and reach out at the right moment with the right product.
Measurable increase in repeat purchase rate
CRM EventPurchase History→Generate Message→WhatsAppEmail
📊 Retail and Supply Chain
Seasonal Demand Forecasting
Procurement decisions are based on gut feel and prior year numbers. Seasonal peaks arrive with the wrong stock on the shelf. Waste and stockouts happen at the same time.
30 to 50% improvement in forecast accuracy
Sales HistoryCalendar→Forecast→Generate Brief→Procurement Order
🚨 Logistics and Trade
Shipment Disruption Monitor
Disruptions to shipping routes, airspace, and ports are tracked manually. Teams find out about delays after operations are already affected. Clients call to ask questions no one can answer.
Real-time visibility across all inbound and outbound shipments
Freight APIAIS Data→Monitor→Flag→AlertReroute
📄 Real Estate and Contracts
Lease Abstraction and Renewal Tracking
Lease portfolios are tracked on spreadsheets. Renewal deadlines pass unnoticed. Key obligations buried inside hundred-page documents are discovered too late to act on.
70 to 90% reduction in lease abstraction time
Lease PDFScan→Extract Terms→Track Dates→Renewal AlertStructured Record
👤 Human Resources
CV Screening and Candidate Shortlisting
Recruiters spend 20 to 30 hours screening applications for a single role. Most CVs are read once and discarded. Strong candidates in the wrong format are missed entirely.
75 to 85% reduction in screening time per role
CV PDFEmail→Extract→Score→ShortlistReject
✈️ Travel and Hospitality
Corporate Travel Policy Compliance
Travel bookings are checked against policy manually or not at all. Overspend goes unnoticed until the finance report arrives. Compliance with fare class and hotel category rules is inconsistent.
Up to 25% reduction in total travel spend
Policy DocBooking→Extract Rules→Validate→CompliantFlagged
💰 Finance and Accounts
Multi-Entity Financial Report Consolidation
Finance teams pull data from multiple systems every month, reformat it manually, and spend days building the board report. Every cycle is the same manual effort.
Up to 80% reduction in report preparation time
ERP DataSpreadsheet→Normalize→Generate Report→Board Pack
🏷️ Retail and Supply Chain
Auction Catalogue Generation
Writing lot descriptions manually takes 15 to 20 minutes per item. A 200-lot sale consumes two days of staff time before a single bid is placed.
Up to 90% reduction in cataloguing time
PhotoSpec Sheet→Extract→Generate Copy→Catalogue Entry
🏗️ Facilities and Construction
Worker Accommodation Management
Occupancy, maintenance, compliance, and supply reordering across large accommodation sites are managed manually. Admin overhead is high and regulatory reporting is always behind.
25 to 33% reduction in facilities management overhead
Maintenance RequestOccupancy Data→Route→Auto-Schedule→Compliance Report
💬 Retail and Supply Chain
AI Product Advisor Chatbot
Customers ask product questions through WhatsApp and web chat. Staff spend time on routine queries that could be answered instantly from the product catalog.
Routine queries handled automatically, 24 hours a day
WhatsAppWeb Chat→Match Products→Generate Reply→Response
🏥 Insurance and Claims
Broker Submission Validation and Routing
Brokers submit proposals and endorsement requests by email, web form, and direct upload every day. Each one is reviewed manually, checked against underwriting rules, and routed by hand. No audit trail. No consistency. Volume compounds without limit.
7 deterministic rules on every document. Zero manual steps for standard submissions.
EmailWeb FormPDF Upload→Classify→Extract→Rules Engine→PassNeeds ReviewFail

Ready to Start

Find the workflow that fits your operation and book a call.

Book a Free Discovery Call
← Use Cases / Insurance and Claims
🏥 Insurance and Claims

Insurance Claims Processing

A Top 100 European insurer was taking 10 days per claim and spending 30 minutes on manual cleanup per document. We replaced the entire manual pipeline in 3 weeks.

1

Claims arrive and are classified automatically

Claims come in across mobile uploads, email PDFs, scanned paper forms, and portal submissions. The system identifies the document type and routes it to the correct extraction pipeline. No manual sorting.

2

Data is extracted, validated, and cross-referenced

Each claim document is extracted field by field. The system validates the output against your policy database, flags missing or inconsistent data, and prepares a complete structured record ready for your systems. Handwritten forms and mixed-language documents are handled without additional configuration.

3

Structured data flows into your existing claims system

The validated output is delivered in the format your claims management system expects. Routing, approval escalation, and compliance logging are automated. Your team reviews decisions, not paperwork.

10 days → under 3 days
Per claim. Verified production deployment. Top 100 European insurer.
97%
Manual cleanup eliminated
80%
Cost reduction
3 weeks
Concept to production
Zero
Manual sorting required
“

easybits gave us the toolkit to deploy our hardest use cases fast. The speed from proof of concept to production was unlike anything we had seen from a technology partner before.

Bilal Türkmen
CEO, Destech Technology Group
Claim PDF Photo Scan → Extract → Validate → Approved Review Flagged

Ready to automate your claims pipeline?

Book a Free Discovery Call
Next use case
Invoice and Payment Reconciliation →
← Back to all use cases
← Use Cases / Finance and Accounts
💰 Finance and Accounts

Invoice and Payment Reconciliation

Invoices arrive across five channels. Bank statements arrive monthly. Nothing connects automatically. Finance teams spend hours every week doing by hand what should run without them.

1

Invoices are captured from every channel

Email attachments, messaging app forwards, scanned paper, portal uploads, and mobile photos. Every incoming invoice is read, extracted, and converted to a structured record with supplier name, amount, date, reference number, and line items where present.

2

Invoices are matched against bank statements

The system cross-references extracted invoice data against bank statement entries. Matched payments are confirmed automatically. Unmatched invoices surface in a daily summary sent to your finance team. No spreadsheet work.

3

Overdue items are escalated automatically

Invoices past their payment terms trigger automated alerts. Your team sees what requires action and when, without checking anything manually. The audit trail for every match and every alert is logged automatically.

82%
Faster invoice processing. Best-in-class organisations complete invoices in 3.1 days. The industry average is 17.4 days.
Zero
Manual spreadsheet matching per cycle
Daily
Automatic overdue summaries delivered
Any
Email, scan, photo, portal, or message
Auto
Audit trail logged for every match
Email PDF Portal → Extract → Match → Confirmed Pending Overdue

Ready to automate invoice reconciliation?

Book a Free Discovery Call
Next use case
Bank Statement Reconciliation →
← Back to all use cases
← Use Cases / Finance and Accounts
💰 Finance and Accounts

Bank Statement Reconciliation

Bank statements are proof of payment, not expense records. Matching them line by line against invoices and purchase orders is what consumes your finance team every month. We automate the entire matching process.

1

Bank statements are extracted and structured

Monthly PDF bank statements from any bank are read and converted into structured line-by-line transaction records. Reference numbers, amounts, dates, counterparty names, and transaction types are extracted and normalized.

2

Transactions are matched against your invoices

Extracted bank transactions are cross-referenced against your invoice records. Direct matches are confirmed automatically. Partial matches and unmatched items are separated for review. Vendor name variations are handled using fuzzy matching that strips legal suffixes and handles common abbreviations.

3

Your finance team sees what needs attention, not a spreadsheet

The output is a reconciliation summary showing confirmed matches, pending items, and anomalies. Your team reviews exceptions, not data. The full audit trail of every match decision is logged automatically.

Hours
Of manual reconciliation eliminated per accounting cycle.
Auto
Invoice-to-payment matching
Any bank
Any PDF statement format
Full
Audit trail on every match decision
Zero
Spreadsheet work per cycle
Statement CSV PDF → Extract → Reconcile → Matched Partial Unmatched

Ready to automate bank reconciliation?

Book a Free Discovery Call
Next use case
Multilingual Product Catalog Ingestion →
← Back to all use cases
← Use Cases / Retail and Supply Chain
🛒 Retail and Supply Chain

Multilingual Product Catalog Ingestion

Suppliers send product data in Arabic, English, and over 15 languages across Excel, PDF, and scanned formats. Your procurement team re-enters thousands of records manually before any item reaches your ERP. We eliminate that entirely.

1

Supplier files are ingested regardless of format

Excel files, PDF catalogs, scanned price lists, and emailed attachments all enter the same pipeline. Arabic, English, and over 15 other languages are read natively. Column structures that vary between suppliers are handled without manual template configuration each time a new supplier is added.

2

Products are classified and validated against your rules

Each product is classified by category and brand using your organisation's own naming conventions and routing rules. Items that cannot be confidently classified are flagged for review rather than guessed at. The validation step catches errors before they reach your ERP.

3

Clean, structured data is written directly to your ERP

The output is formatted for your specific ERP system. Each batch includes a full audit log. Your procurement team sees what was processed, what was flagged, and what was delivered, without touching a single record manually.

Any language
Arabic, English, or any of over 15 languages. No additional configuration per language.
Zero
Manual ERP data entry per supplier batch
Full
Audit trail on every processed item
Any ERP
Oracle, SAP, or custom integration
No templates
Adapts to each supplier automatically
Catalog PDF Supplier List → Extract → Translate → Normalise → PIM / ERP

Ready to automate catalog ingestion?

Book a Free Discovery Call
Next use case
Purchase Order Processing →
← Back to all use cases
← Use Cases / Retail and Supply Chain
📦 Retail and Supply Chain

Purchase Order Processing

A 10-page purchase order with 60 line items. Standard tools miss rows, mix up quantities, and fabricate values. Staff verify every field by hand before any order can move. We process the entire document in one pass with verified accuracy across every line.

1

The purchase order is received and extracted in full

PDF, Excel, scanned paper, or email attachment. The full document is read, including tables with variable row counts, continuation pages, and mixed-language headers. Every line item is extracted: description, quantity, unit price, total, delivery terms, and reference numbers.

2

Line items are validated and processed for accuracy

Complex documents with many line items are processed to ensure no field is missed and no truncation occurs. The outputs are merged into a single clean record. Any field that cannot be extracted with confidence is flagged for human review rather than filled with an assumption.

3

Clean purchase order data is delivered to your system of record

The structured output goes directly into your ERP, your procurement system, or your approval workflow. Your team sees a validated order ready to act on, not a raw document to interpret.

Up to 95%
Reduction in data entry errors. Manual data entry runs at 1 to 5 percent error rate. AI extraction holds above 99.5 percent accuracy.
100%
Field coverage across all line items
Parallel
Pipeline architecture for large documents
Any format
PDF, Excel, scan, email attachment
Zero
Fabricated values in output
Email Scan Portal → Extract → Validate → Confirmed Mismatch Rejected

Ready to automate purchase order processing?

Book a Free Discovery Call
Next use case
Supplier Onboarding →
← Back to all use cases
← Use Cases / Retail and Supply Chain
📦 Retail and Supply Chain

Supplier Onboarding

Adding a new supplier means collecting registration documents, trade licenses, bank details, compliance certificates, and signed agreements. It happens over email threads and takes days. Meanwhile the supplier cannot be activated. We automated the entire intake.

1

Supplier documents are submitted and identified

Trade licenses, commercial registrations, bank account letters, VAT certificates, signed agreements, and compliance declarations. Submitted by email, portal upload, or direct message. Each document is identified by type and extracted into the correct fields without manual sorting.

2

Information is validated and cross-referenced

The system checks that all required documents are present, that extracted details match across documents, and that expiry dates on certifications are within acceptable ranges. Discrepancies and missing items are flagged automatically.

3

Complete supplier record is delivered for activation

A validated, structured supplier record is ready for your procurement or ERP system. Activation can happen the same day documents are received. The full audit trail for every document submitted and every validation decision is logged for compliance review.

Same day
Supplier activation from completed document submission. Previously taking 3 to 5 business days.
Auto
Document completeness check
Cross-verified
Details matched across all submitted documents
Full audit
Compliance record for every supplier
Auto follow-up
Missing documents chased automatically
License Certificate Tax ID → Extract → Verify → Approved Incomplete Expired

Ready to automate supplier onboarding?

Book a Free Discovery Call
Next use case
Customs and Trade Documentation →
← Back to all use cases
← Use Cases / Logistics and Trade
🚢 Logistics and Trade

Customs and Trade Documentation

Bills of lading, customs declarations, and shipping manifests arrive from multiple carriers in multiple formats. Every shipment requires manual data entry before goods can be cleared and inventory updated. We extract, validate, and deliver that data automatically.

1

Shipping documents are captured from any source

Email attachments, carrier portals, and scanned paper bills of lading. Customs declaration forms, packing lists, and shipping manifests in Arabic, English, or mixed — over 15 languages supported. Each document is identified by type and routed to the correct extraction logic.

2

Goods, quantities, values, and reference numbers are extracted

Every field required for customs clearance and inventory update is extracted: HS codes, declared values, country of origin, consignee details, port information, and line-item quantities. Validation rules flag discrepancies before they reach customs.

3

Structured data flows into your inventory and clearance systems

Clean structured output is delivered in the format your logistics or ERP system expects. Clearance documentation is ready for submission without manual transcription. Inventory records are updated automatically on confirmed shipments.

Minutes
To process clearance documentation that previously took hours of manual entry per shipment.
Any carrier
Any bill of lading format
AR + EN
Mixed language documents handled natively
Pre-validated
Discrepancies flagged before submission
Auto
Inventory updated on confirmed shipments
Bill of Lading Invoice Certificate → Extract → Cross-check → Cleared Held Flagged

Ready to automate customs documentation?

Book a Free Discovery Call
Next use case
HR Document Onboarding →
← Back to all use cases
← Use Cases / Human Resources
👤 Human Resources

HR Document Onboarding

A new hire joins. HR collects identity documents, a signed contract, bank details, compliance forms, and certifications. Each one arrives in a different format. Each one is processed manually and chased by email for weeks. We structured that entire flow into an automated pipeline.

1

New hire documents are submitted through any channel

Email attachments, mobile uploads, and scanned paper. Passports, national IDs, signed employment contracts, bank account details, and compliance declarations. Each document type is identified automatically and extracted into the correct fields.

2

Documents are validated and checked for completeness

The system identifies what has been received and what is still missing. Incomplete submissions trigger automatic follow-up. Valid documents are processed and their key data extracted: name, ID number, contract start date, salary terms, bank details, and required certifications.

3

Clean employee records are delivered to your HR system

Structured employee data is written directly to your HR platform or ERP. Your HR team sees a complete, validated record ready to activate, not a pile of emails with attachments to open and re-enter.

Day one
New hire onboarding documents fully processed and structured on day one of employment.
Auto
Document completeness check
Any format
Passport, contract, bank form, certification
Zero
Manual re-entry into HR systems
Auto follow-up
Missing documents chased without manual tracking
ID / Passport Contract Certificate → Extract → Validate → HRIS / Payroll

Ready to automate HR document onboarding?

Book a Free Discovery Call
Next use case
Contract Extraction and Review →
← Back to all use cases
← Use Cases / Real Estate and Contracts
🏢 Real Estate and Contracts

Contract Extraction and Review

A lease agreement runs to 40 pages. Buried inside are the renewal date, the break clause, the escalation terms, and the liability caps. Finding them manually takes hours. Missing them creates risk. We extract every critical term automatically.

1

Contracts are read in full, regardless of length

PDF contracts, scanned agreements, and Word documents. Lease agreements, supplier contracts, service agreements, and employment contracts. The full document is read and all sections are processed, including schedules, appendices, and referenced exhibits.

2

Key terms and obligations are extracted and structured

Parties, effective dates, renewal dates, termination clauses, payment terms, escalation clauses, liability caps, and governing law. Each field is extracted with the page reference where it was found, so your team can verify any item instantly without re-reading the full document.

3

Structured contract data is delivered for review and storage

A clean summary of every extracted term is delivered alongside the source document. Key dates are flagged on a timeline. Renewal and expiry alerts can be triggered automatically based on extracted dates. Your legal and operations teams review decisions, not documents.

Seconds
To extract and structure key terms from a 40-page contract. Manual review previously took hours.
Every clause
Full document read including appendices
Page ref
Every term linked to its source page
Date alerts
Renewal and expiry flagged automatically
Zero
Manual re-reading to verify terms
PDF Scan Signed Doc → Extract → Flag Risks → CMS + Calendar

Ready to automate contract review?

Book a Free Discovery Call
Next use case
Oil and Gas Document Processing →
← Back to all use cases
← Use Cases / Energy and Resources
⛽ Energy and Resources

Procurement and Compliance Document Processing

Oil and gas operations run on documents. Purchase orders, delivery receipts, vendor invoices, inspection certificates, and compliance reports arrive daily in Arabic, English, and over 15 languages from dozens of suppliers and contractors. Every one is processed manually. Errors in extraction lead to payment delays, audit failures, and compliance exposure.

1

Every document is received and extracted across all formats

PDFs, scanned paper, email attachments, and portal uploads. Arabic, English, or mixed — over 15 languages handled natively. Purchase orders with 60-plus line items, multi-page inspection certificates, and structured compliance reports are all processed through the same pipeline with no format exceptions.

2

3-way match runs automatically across PO, receipt, and invoice

Every invoice is validated against its corresponding purchase order and delivery receipt. Quantity mismatches, price deviations, and missing fields are flagged before payment is processed. Discrepancies that exceed defined thresholds are routed for human review automatically.

3

Structured data is written directly to your systems

Extracted and validated fields flow directly into your ERP, procurement system, or compliance database. No re-typing. No copy-paste. Every transaction logged with a full audit trail that can be reviewed at any point.

85%
Up to 85% reduction in manual processing costs. Automated extraction, validation, and routing replace hours of manual re-entry across procurement, invoicing, and compliance workflows.
Ardent Partners 2025 and APQC Process Benchmarking
Over 15 languages
Arabic, English, and more — all handled natively
3-way match
PO, receipt, and invoice verified automatically
30 to 50 hrs
Equivalent staff time saved per week
Zero
Manual re-entry of extracted data
PO Invoice Certificate → Extract → 3-Way Match → Confirmed Discrepancy Blocked

Ready to automate your procurement workflows?

Book a Free Discovery Call
Next use case
Property Management DMS Automation →
← Back to all use cases
← Use Cases / Real Estate and Contracts
🏢 Real Estate and Contracts

Document Classification and Invoice Automation

Property management companies process thousands of documents per month. Lease agreements, maintenance invoices, utility bills, insurance certificates, and inspection reports all arrive as scans with no metadata. Someone has to open each file, decide what it is, name it, and file it in the right location. Hours disappear every week across an entire portfolio.

1

Every scanned document is classified the moment it arrives

The system reads the document, identifies its type (lease, invoice, certificate, maintenance report, or other), and assigns the correct folder, filename, and metadata instantly. No manual review required for standard document types.

2

Invoices are extracted and matched to the correct property and cost centre

Vendor name, invoice number, line items, amounts, and due dates are extracted from every invoice regardless of layout or language. Each is matched to its property reference and cost centre before being written to the accounting system.

3

Processed data flows directly into the DMS and accounting system

No re-typing. No copy-paste. The system connects to your existing DMS (including EcoDMS) and writes the structured output directly. Every classified document and every extracted invoice is traceable with a full audit log.

“

The classification accuracy is remarkable, and the integration into EcoDMS was seamless. This is the kind of automation our clients have been waiting years for.

Maurice Kowalski
DMS Expert and AI Automations, Virtual Data Systems GmbH and Co. KG
80%
Reduction in manual filing time. Every document is classified, named, and placed in the correct folder the moment it is scanned.
Based on deployment data across 40 managed portfolios
Instant
Classification at the moment of scanning
Zero
Misfiled or unclassified documents in output
Any format
Scans, PDFs, photos, or digital uploads
40
Property managers ready for immediate integration
Scan PDF Photo → Classify → Route → DMS + Accounting

Ready to automate your document management?

Book a Free Discovery Call
Next use case
Contract Review and Clause Extraction →
← Back to all use cases
← Use Cases / Education
🎓 Education

AI-Powered Exam Grading Co-Pilot

A teacher with 30 students spends 4 to 6 hours grading a single exam set. Feedback arrives days later, too late to change how a student studies for the next assessment. Manual grading costs 15 to 25 euros per hour of teacher time and produces feedback that is neither immediate nor consistent across the same marking scheme.

1

Every submission is received and all answers are extracted in full

PDF, photo, scanned paper, or typed submission. The full document is read including handwritten answers, multi-page responses, and mixed question formats. Every answer is extracted: open questions, multiple choice, calculations, and short-form writing.

2

Answers are evaluated and every error is explained with reasoning

Each response is compared against the marking scheme. Incorrect answers are flagged with a step-by-step explanation of why the answer is wrong and what the correct reasoning looks like. Any answer the system cannot grade with full confidence is sent for teacher review, never guessed.

3

Personalised feedback and the final grade are delivered instantly

Each student receives a structured report: their score, a breakdown by topic, and targeted practice suggestions based on where they lost marks. Teachers receive a class-level overview showing which concepts need more attention, giving them more time for individual coaching instead of paperwork.

80%
Up to 80% reduction in grading costs. Manual grading runs at 15 to 25 euros per hour. AI grading delivers results in under 60 seconds.
Eurydice / OECD 2024 teacher compensation data
100%
Answer coverage across all question types
Instant
Feedback delivered at time of submission
Any format
PDF, scan, photo, typed or handwritten
< 60 sec
Per submission, regardless of length
PDF Scan Photo → Extract Answers → Grade + Explain → Report + Score

Ready to automate your exam grading?

Book a Free Discovery Call
Explore more use cases
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← Back to all use cases
← Use Cases / Procurement
📋 Procurement

Tender and Bid Intelligence

Most organisations miss more opportunities than they win because the analysis burden is too high. A 200-page government tender takes a team days to read, score, and respond to. By the time a bid/no-bid decision is made, submission windows are already closing.

1

Every tender document is ingested and its requirements extracted in full

RFP PDFs, portal downloads, and emailed tenders are all read in one pass. The system extracts eligibility criteria, deliverables, submission deadlines, evaluation criteria, and any mandatory certifications or exclusions. Nothing buried in appendices is missed.

2

Each requirement is scored against your capability profile

The extracted requirements are matched against your defined strengths, past project data, and compliance status. A structured scoring matrix is generated automatically, showing where you are strong, where you need to address gaps, and whether the opportunity clears the minimum threshold for pursuit.

3

A bid/no-bid brief is delivered, ready for decision in minutes

Decision-makers receive a one-page brief: the opportunity summary, a fit score, the key risks, and a recommended go/no-go position. If the decision is go, a first-draft compliance matrix is generated for the bid team. The entire process that once took days is completed before the coffee cools.

Up to 90%
Reduction in tender analysis time. Manual review of a 200-page RFP takes 20 to 35 hours. AI analysis delivers a scored brief in under 30 minutes.
35 hrs → 30 min
Per tender. Analysis, scoring, and brief generation.
100%
Coverage of eligibility criteria and submission conditions
Automatic
Bid/no-bid brief ready for sign-off without manual prep
Zero
Missed deadlines or overlooked compliance requirements
RFP PDFPortal→Extract→Score→BidNo Bid

Ready to stop missing tender opportunities?

Book a Free Discovery Call
Next use case
Inventory Reorder Automation →
← Back to all use cases
← Use Cases / Retail and Supply Chain
🛒 Retail and Supply Chain

Inventory Reorder Automation

Manual stock management means the team only finds out a product has run out after a customer asks for it. By then the sale is already lost. At the same time, slow-moving lines sit occupying shelf space and working capital for months.

1

Stock levels are monitored continuously against defined reorder thresholds

The system connects to your POS or ERP and monitors every SKU in real time. When a product drops to its reorder point, the trigger fires immediately. No one needs to run a weekly stock report or remember to check a spreadsheet.

2

A purchase order is generated and sent to the supplier automatically

For each triggered SKU, the system generates a complete purchase order using your supplier master data, preferred order quantities, and lead times. The PO is sent directly to the supplier via email or EDI. Your buying team receives a confirmation, not a task.

3

Slow-movers are flagged separately for review and action

Products that have not sold within a defined period are flagged in a separate report with the current stock position and a markdown recommendation. Decisions about promotions or clearance are made with data, not guesswork. The same system that prevents stockouts also prevents working capital being tied up in dead stock.

50%
Reduction in stockouts for operations using threshold-based reorder automation.
Automatic
Reorder triggered the moment stock hits threshold
Real-time
Stock monitoring across all SKUs and locations
Zero
Manual stock checks or end-of-week reports needed
Flagged
Slow-movers identified before they become a write-off
POS DataStock Level→Monitor→Trigger→Purchase Order

Ready to stop running out of stock?

Book a Free Discovery Call
Next use case
Delivery Route Optimization →
← Back to all use cases
← Use Cases / Logistics and Trade
🚛 Logistics and Trade

Delivery Route Optimization

When route planning is done manually, drivers follow the same paths they know rather than the most efficient ones. Every extra kilometer driven adds to fuel cost, wear, and the chance of missing a delivery window. For a fleet of 30 vehicles, the inefficiency compounds into significant weekly losses.

1

All orders for the day are collected and structured for optimization

Delivery orders are pulled from your order management system or entered manually. Each one is structured with address, time window, weight, and priority. The system has a complete picture of the day before any driver leaves the depot.

2

Routes are calculated and assigned to each vehicle automatically

The optimization engine factors in traffic patterns, delivery windows, vehicle capacity, driver hours, and fuel efficiency. It calculates the most efficient route for each vehicle and assigns stops in the correct order. What previously took a dispatcher an hour is done in under two minutes.

3

Driver manifests are generated and sent digitally

Each driver receives a structured manifest with their route, stop order, estimated times, and customer contact details. Changes to orders or drop failures can be re-optimized mid-day without manual rework. Your logistics team manages exceptions, not the entire schedule.

20%
Average fuel cost reduction for fleets switching from manual to AI-optimized routing.
Automatic
Route calculation for full fleet in under 2 minutes
20%
Average fuel cost reduction versus manual planning
Real-time
Re-optimization available mid-day for exceptions
Zero
Manual route planning by the dispatcher
OrdersMap Data→Optimize→Assign→Driver Manifest

Ready to stop burning fuel on inefficient routes?

Book a Free Discovery Call
Next use case
VIP Client Relationship Automation →
← Back to all use cases
← Use Cases / Retail and Supply Chain
💎 Retail and Supply Chain

VIP Client Relationship Automation

High-value retail customers generate a disproportionate share of revenue. But they receive the same generic newsletter as everyone else, because the team has no system to track individual purchase history and act on it at the right moment. Personal relationships do not scale when they depend entirely on individual staff memory.

1

Each VIP customer profile is built and kept current automatically

The system connects to your CRM or POS and builds a structured profile for each high-value customer: their purchase history, preferred brands, average spend, last visit date, and any preferences recorded by staff. The profile updates automatically after every transaction.

2

Trigger-based outreach is generated and sent at the right moment

When a new arrival matches a customer's known preferences, a personalized message is generated and sent. When a customer has not visited in a defined number of days, a re-engagement message goes out. On birthdays, anniversaries, or special occasions, the system fires a personal note without anyone needing to remember to send it.

3

Staff are briefed before high-value clients visit

When a VIP books an appointment or the system predicts a visit based on their pattern, floor staff receive a brief: who is coming, what they bought last, what is new that might interest them, and any notes from previous visits. The personal service that used to depend on one staff member's memory is now available to the whole team.

Significant
Increase in repeat purchase rate reported by retailers using automated VIP outreach programs.
Automatic
Outreach triggered by purchase events and behavioral signals
Personalized
Every message generated from the individual's profile
Any channel
WhatsApp, email, or SMS depending on preference
Zero
Manual effort for routine VIP follow-up
CRM EventPurchase History→Generate Message→WhatsAppEmail

Ready to make every VIP client feel known?

Book a Free Discovery Call
Next use case
Seasonal Demand Forecasting →
← Back to all use cases
← Use Cases / Retail and Supply Chain
📊 Retail and Supply Chain

Seasonal Demand Forecasting

Seasonal businesses know demand will spike. But the question of exactly when, for which products, and by how much is answered differently every year based on whoever is doing the buying that cycle. Over-ordering creates waste. Under-ordering means empty shelves during peak revenue periods.

1

Historical sales data, calendar events, and external signals are combined

The system ingests your sales history by SKU, product line, and location. It maps that history against calendar events: Ramadan, Eid, Christmas, school terms, national holidays, and any product-specific patterns. External signals like weather forecasts and promotional calendars can be added to improve accuracy further.

2

A demand forecast is generated by category, 4 to 6 weeks ahead

The model produces a forward-looking demand estimate by product category for each location or channel. Confidence intervals are included so buyers know where the forecast is strong and where it needs manual review. The output is structured as a procurement brief, not a spreadsheet to be interpreted.

3

Procurement orders are generated from the forecast automatically

For high-confidence forecast lines, purchase orders are generated using your supplier lead times and order quantities. The buying team reviews the orders rather than creating them. The entire cycle from sales data to confirmed purchase orders runs in hours, not weeks of manual planning.

50%
Maximum improvement in forecast accuracy reported for AI-driven seasonal demand models versus manual estimation.
4-6 weeks
Forecast horizon giving suppliers enough lead time
50%
Improvement in forecast accuracy versus manual estimation
Automatic
PO generation for high-confidence forecast lines
Zero
Gut-feel buying decisions for predictable seasonal categories
Sales HistoryCalendar→Forecast→Generate Brief→Procurement Order

Ready to stop guessing what to order each season?

Book a Free Discovery Call
Next use case
Shipment Disruption Monitor →
← Back to all use cases
← Use Cases / Logistics and Trade
🚨 Logistics and Trade

Shipment Disruption Monitor

When shipping routes are disrupted, freight teams find out through a client complaint or a missed delivery, not through proactive monitoring. By then the options are limited and the damage to the relationship is already done. Real-time visibility is the difference between managing a disruption and reacting to it.

1

All active shipments are monitored continuously against live data feeds

The system connects to your freight forwarder APIs, vessel tracking data, and airline cargo systems. Every inbound and outbound shipment is tracked in real time. Port congestion, vessel delays, flight cancellations, and customs holds are detected as they happen.

2

At-risk shipments are flagged and rerouting options are generated automatically

When a shipment is identified as delayed or at risk, the system immediately calculates the impact: which orders are affected, by how many days, and what alternative routing options are available. The rerouting analysis is presented as a structured recommendation, ready for your operations team to act on.

3

Clients and stakeholders are notified automatically

For confirmed delays, client notification drafts are generated and sent on approval. Status updates for affected shipments go out without anyone needing to call the freight forwarder for updates. Your team handles the decisions, not the information gathering.

Real-time
Visibility across all inbound and outbound shipments, replacing manual tracking and reactive problem discovery.
Continuous
Monitoring across all active shipments 24 hours a day
Automatic
Rerouting options generated for at-risk freight
Proactive
Client notifications sent before they need to call
Zero
Shipments lost track of due to manual monitoring gaps
Freight APIAIS Data→Monitor→Flag→AlertReroute

Ready to stop finding out about delays from your clients?

Book a Free Discovery Call
Next use case
Lease Abstraction and Renewal Tracking →
← Back to all use cases
← Use Cases / Real Estate and Contracts
📄 Real Estate and Contracts

Lease Abstraction and Renewal Tracking

A lease portfolio tracked in spreadsheets will eventually cost money. Renewal options expire unexercised. Break clauses are missed. Obligations on maintenance, insurance, and reporting surface as disputes rather than planned activity. The problem scales directly with the number of properties under management.

1

Every lease document is read in full and all key terms are extracted

PDFs, scanned agreements, and digital leases are all processed. Commencement dates, expiry dates, renewal options with their deadlines, break clauses, permitted use restrictions, service charge caps, rent review mechanisms, and landlord or tenant obligations are extracted from each document and structured into a consistent record.

2

Upcoming dates and obligations are mapped onto a tracked calendar

Every critical date is surfaced: lease expiry, rent review date, break clause exercise window, renewal option deadline, and any notice period required. Alerts are configured to fire at defined lead times — 6 months, 3 months, 30 days — so renewal decisions are always made with time to negotiate rather than under deadline pressure.

3

The full portfolio is available as a structured, searchable dataset

The extracted data feeds into a clean portfolio overview. Filtering by expiry date, break clause opportunity, or property type takes seconds. The same data feeds any reporting or compliance requirement without anyone needing to re-read the source documents. Legal and finance teams work with structured data, not 50-page PDFs.

90%
Reduction in lease abstraction time. A 100-lease portfolio that previously took 300 hours to abstract is processed in under 30.
90%
Time reduction versus manual lease abstraction
100%
Key dates and obligations extracted per lease
Automatic
Renewal and break clause alerts at configurable lead times
Zero
Missed renewal deadlines or unexercised break clauses
Lease PDFScan→Extract Terms→Track Dates→Renewal AlertStructured Record

Ready to stop managing leases from a spreadsheet?

Book a Free Discovery Call
Next use case
CV Screening and Candidate Shortlisting →
← Back to all use cases
← Use Cases / Human Resources
👤 Human Resources

CV Screening and Candidate Shortlisting

A corporate job posting generates an average of 250 applications. Manually reviewing each one to the standard needed to make a confident shortlisting decision takes 20 to 30 hours of recruiter time per role. Most CVs are skimmed in under 10 seconds. Strong candidates in non-standard formats are missed entirely.

1

Every application is read in full and structured into a consistent profile

CVs in PDF, Word, email body, and scanned format are all processed. Each candidate profile is built from the extracted data: years of experience, skills, educational background, previous employers, seniority levels, and any specific qualifications required for the role. The output is consistent regardless of how the original CV was formatted.

2

Candidates are scored against the role requirements automatically

A scoring model matches each candidate against the job specification: mandatory criteria, preferred experience, seniority fit, and any deal-breaker qualifications. Candidates are ranked from highest to lowest match. The model flags the specific reasons a candidate scores high or low, so the reviewer can verify the decision rather than remake it.

3

A shortlist brief is delivered, ready for the hiring manager

The top candidates are presented in a ranked shortlist with a profile summary and score rationale for each. Interview scheduling links can be sent automatically to shortlisted candidates. The hiring manager receives a structured brief they can act on immediately, without waiting for a recruiter to compile it manually.

85%
Reduction in screening time per role. A 250-application review that previously took 25 hours is completed in under 4.
25 hrs → 4 hrs
Screening time per role with AI shortlisting
250
Average applications per role, all read in full
Automatic
Interview scheduling for shortlisted candidates
Zero
Qualified candidates missed due to CV format
CV PDFEmail→Extract→Score→ShortlistReject

Ready to stop spending a week screening each role?

Book a Free Discovery Call
Next use case
Corporate Travel Policy Compliance →
← Back to all use cases
← Use Cases / Travel and Hospitality
✈️ Travel and Hospitality

Corporate Travel Policy Compliance

Unmanaged travel is consistently 15 to 25 percent more expensive than managed travel. The gap is not because employees are being unreasonable. It is because policy rules are buried in a document no one reads, and no one checks bookings against them before the ticket is issued.

1

The company travel policy is read and its rules are extracted into a structured compliance model

The policy document is processed once. Maximum fare classes by route type, permitted hotel categories, advance booking requirements, approved suppliers, per diem limits, and approval thresholds are all extracted and structured into a live compliance ruleset. Policy updates are re-processed automatically.

2

Every booking request is validated against the policy before confirmation

When a booking is submitted, the system checks it against the compliance model. If a business class ticket is requested on a route where economy is the policy, the booking is flagged with the specific rule it breaks before any money is spent. Compliant bookings are confirmed. Exceptions route to the appropriate approver.

3

Monthly compliance reports are generated automatically for finance

At the end of each period, a structured report shows total travel spend, compliance rate by department, total policy exceptions, and estimated savings versus unmanaged benchmark rates. Finance teams have the data to identify spend patterns and tighten policy where it is being consistently circumvented.

25%
Maximum reduction in total travel spend reported by organisations moving from unmanaged to policy-compliant booking.
15-25%
Typical savings from managed versus unmanaged travel
Automatic
Policy validation on every booking before confirmation
100%
Policy coverage without anyone reading the document
Monthly
Compliance reports generated without manual compilation
Policy DocBooking→Extract Rules→Validate→CompliantFlagged

Ready to close the gap between your travel policy and your travel spend?

Book a Free Discovery Call
Next use case
Multi-Entity Financial Report Consolidation →
← Back to all use cases
← Use Cases / Finance and Accounts
💰 Finance and Accounts

Multi-Entity Financial Report Consolidation

When a business runs multiple subsidiaries, the monthly close becomes a two-week project. Each entity exports data in a different format, with different chart of accounts, different currencies, and different conventions for naming the same thing. Finance teams spend most of their time on data wrangling, not analysis.

1

Data is pulled from each entity's system and normalized into a consistent structure

The system connects to each subsidiary's accounting platform or ingests their standard exports. Currency conversion, chart of accounts mapping, and intercompany eliminations are applied automatically using configured rules. The data that previously required manual reformatting is clean and consistent before any human sees it.

2

Variances against budget and prior period are calculated and flagged automatically

Once consolidated, the system compares actuals against budget and prior period for every line. Items that exceed defined variance thresholds are highlighted automatically. The finance team reviews the flagged items rather than hunting through the numbers for things that look wrong.

3

The board report is assembled with narrative commentary drafted by AI

A structured management report is generated in your standard format. Key figures, variance explanations, and forward-looking commentary are drafted from the consolidated data. The finance director reviews and edits the narrative rather than writing it from scratch. The process that previously took a week is completed in a day.

80%
Reduction in report preparation time for multi-entity consolidations replacing manual data wrangling.
Automatic
Cross-entity data normalization and currency conversion
Flagged
Variances above threshold highlighted before review
AI-drafted
Board narrative ready for review and sign-off
1 day
Full consolidation cycle versus 5 to 7 days manually
ERP DataSpreadsheet→Normalize→Generate Report→Board Pack

Ready to close the books in a day instead of a week?

Book a Free Discovery Call
Next use case
Auction Catalogue Generation →
← Back to all use cases
← Use Cases / Retail and Supply Chain
🏷️ Retail and Supply Chain

Auction Catalogue Generation

Cataloguing a 200-lot auction manually takes two full days. Each lot needs to be photographed, researched, described, valued, and assigned to a category. The bottleneck is not the auction itself but the time required to get it ready. Volume is directly limited by how many lots a team can catalogue in a week.

1

Lot photos and any available spec data are submitted to the system

Images are uploaded from any device. Alongside each photo, available reference data is submitted: item type, condition notes, any provenance documents, purchase records, or technical specifications. The system reads everything provided and identifies the item type from the image if no reference data is available.

2

A complete catalogue entry is generated for each lot automatically

For each lot, the system generates a formatted description, a suggested category and sub-category, recommended search tags, condition notes, and a valuation range based on comparable sales. The description is written to the house style and length. Multiple language versions can be generated in the same pass.

3

Entries are reviewed and approved, ready for publication

The team reviews generated entries rather than writing them. Corrections are made where needed. Approved lots are published directly to the auction platform. A 200-lot sale that previously took two days is ready for bidder preview in under five hours, with the same team.

90%
Reduction in cataloguing time. A 200-lot sale completed in under 5 hours versus 2 days manually.
8 sec
AI processing time per lot versus 15-20 minutes manually
200 lots
Catalogued in under 5 hours with the same team
Multilingual
Descriptions in over 15 languages in a single pass
Zero
Manual lot research or description writing for standard items
PhotoSpec Sheet→Extract→Generate Copy→Catalogue Entry

Ready to run more sales with the same team?

Book a Free Discovery Call
Next use case
Worker Accommodation Management →
← Back to all use cases
← Use Cases / Facilities and Construction
🏗️ Facilities and Construction

Worker Accommodation Management

A large worker accommodation site has hundreds of residents, daily maintenance requests, weekly compliance obligations, and continuous supply needs. Managing it manually requires significant administrative overhead — and regulatory reporting is always a reactive scramble rather than a planned output.

1

Maintenance requests are received, categorized, and routed automatically

Requests submitted through any channel — app, WhatsApp, paper form, or phone — are ingested and classified by type: plumbing, electrical, HVAC, cleaning, or general. Each is routed to the correct contractor or maintenance team based on your defined rules. Response time commitments are tracked automatically from the moment of submission.

2

Occupancy data is tracked and compliance reports are generated on schedule

Resident records, room assignments, check-in and check-out events, and capacity utilization are maintained in a structured system. At the end of each period, compliance reports required by labor authorities are assembled from the live data and formatted for submission. The process that previously took a team two days is completed overnight.

3

Supply reordering is triggered automatically based on consumption rates

Consumables — cleaning materials, catering supplies, linen, maintenance parts — are tracked against defined par levels. When stock reaches the reorder threshold, a purchase order is generated and sent to the supplier. Your facilities manager reviews the orders rather than manually checking store rooms and raising requisitions.

33%
Reduction in administrative overhead reported by facilities managers implementing workflow automation for accommodation management.
Automatic
Maintenance request routing by type and urgency
On-schedule
Regulatory compliance reports without manual assembly
Real-time
Occupancy tracking and capacity utilization
33%
Reduction in facilities admin overhead
Maintenance RequestOccupancy Data→Route→Auto-Schedule→Compliance Report

Ready to run your accommodation site with half the admin?

Book a Free Discovery Call
Next use case
AI Product Advisor Chatbot →
← Back to all use cases
← Use Cases / Retail and Supply Chain
💬 Retail and Supply Chain

AI Product Advisor Chatbot

When a customer asks which moisturizer suits oily skin, or which suitcase fits in overhead compartments, the answer exists in your product catalog. But it takes a staff member to find it and reply. At scale, routine product queries consume hours of team time every day — time that could be spent on customers who need a human.

1

The product catalog is ingested and structured as the chatbot's knowledge base

Your complete catalog — product descriptions, specifications, ingredients, size charts, compatibility notes, and any existing FAQ content — is loaded and structured. The chatbot knows your range in full and can match customer questions to the right products without any manual scripting or keyword rules.

2

Customer queries are answered instantly, 24 hours a day

When a customer messages via WhatsApp or the website chat, the system reads the question and generates a specific, accurate answer from the catalog. Product recommendations include the key reasons they match the customer's stated need. The response arrives in seconds, in the customer's language. Arabic, English, and over 15 languages are handled natively.

3

Complex queries and purchase intent are escalated to a human automatically

Questions the chatbot cannot answer with confidence — bespoke requests, complaints, or purchase intent signals above a defined threshold — are flagged and transferred to a human agent with full context. Staff handle the cases that benefit from human judgment. Routine queries never reach them.

24/7
Product queries answered instantly without routing to staff, in Arabic, English, and over 15 languages natively.
Instant
Response time versus minutes waiting for a staff reply
24/7
Coverage including outside business hours
Over 15 languages
Arabic, English, and more — natively, without configuration
Automatic
Escalation to human agent for complex or high-intent queries
WhatsAppWeb Chat→Match Products→Generate Reply→Response

Ready to answer every product question instantly?

Book a Free Discovery Call
Next use case
Insurance Claims Processing →
← Back to all use cases
← Use Cases / Insurance and Claims
🏥 Insurance and Claims

Broker Submission Validation and Routing

Insurance operations teams receive proposals and endorsement requests from brokers every day across multiple channels. Without automation, one person opens every PDF, checks payment dates, identifies endorsement type, decides whether underwriter sign-off is required, and routes it manually. No audit trail. No consistency. No ceiling on how much work accumulates when volume grows.

1

Every submission is received and classified the moment it arrives

Documents arrive by email attachment, web form upload, or direct PDF submission. All three entry points feed the same pipeline. The system reads each document immediately, identifies the type, extracts the folio and policy reference, and routes it to the correct extraction pipeline. Policy copies are rejected at this stage before any further processing runs.

2

Four parallel pipelines extract every relevant field

Identity, payment, and endorsement data are extracted in parallel using narrow, typed schemas. Each pipeline processes only the fields it owns, so cross-section fabrication is structurally impossible. Payment dates, broker and insured identity, endorsement type, and authorization status are all extracted simultaneously. A coverage summary is generated automatically for each submission.

3

Seven deterministic rules run and every outcome is logged

Retroactivity thresholds, payment date rules, direct debit completeness, endorsement authorization requirements, and modification review rules all run on every document without exception. Each produces a specific outcome code: Pass, Needs Underwriter Review, or Fail. Failures trigger an automated return notification to the broker. Every decision is written to a timestamped audit log, permanently.

Zero
Manual steps required for standard submissions. Every document is classified, extracted, validated, and routed automatically from the moment it arrives.
3 entry points
Email, web form, and direct upload all feed one pipeline
4 pipelines
Running in parallel, schema-driven, no cross-section fabrication
7 rules
Applied to every document without exception or inconsistency
Full audit trail
Every decision timestamped and permanently logged
EmailWeb FormPDF Upload→Classify→Extract→Rules Engine→PassNeeds ReviewFail

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