AI solution / Capture, validate, and route payable documents

AI Invoice Processing

Invoices arrive in different layouts through email and storage folders. Staff copy fields, check references, identify duplicates, and route approvals before anything can be posted or paid.

Designed for: Accounts-payable teams re-keying invoice data and managing manual approval queues.

Discuss this workflow

01 / Practical opportunities

Where AI can remove operational friction

01

Classify invoices and supporting documents

02

Extract headers, line items, totals, and references

03

Validate arithmetic, duplicates, and approved supplier data

04

Route exceptions and approvals with the source attached

02 / Example workflow

A system people can inspect and control

01

Invoice received

Email, upload, or storage event creates a traceable intake record.

02

Data extracted

OCR and layout analysis identify defined fields and line items.

03

Checks applied

Totals, formats, references, duplicates, and master data are validated.

04

Approval prepared

A reviewer sees the source, extracted values, checks, and exceptions before posting.

03 / Suitable use cases

Useful, bounded applications

Supplier invoice capture

Prepare an accounts-payable record from common invoice formats.

Duplicate detection

Compare supplier, number, amount, and date before creating a record.

Purchase-order match support

Present likely matches and mismatches for finance review.

Approval routing

Send the invoice and evidence to the correct cost owner.

04 / Connected systems

Relevant integrations

EmailDocument storageAccounting platformERPPurchase-order systemApproval tool

Data and human review

Financial and supplier records need access controls, encryption, retention rules, and segregation between preparation and approval.

Authorised finance staff approve coding, exceptions, posting, payment, supplier changes, and tax treatment.

05 / Fit and limits

Know where the system stops.

Poor scans, handwritten notes, unusual layouts, missing purchase references, and inconsistent supplier data reduce extraction and matching quality.

Recommended services

06 / Questions

What teams ask first

Can it pay invoices automatically?

The recommended design prepares and routes records; payment remains subject to authorised approval and financial controls.

Can it process different layouts?

Yes, within tested variation, with confidence checks and human review for unfamiliar or low-quality documents.

Plan the right AI workflow

Bring us the current process, systems, constraints, and desired human checkpoints. We will help define a practical next step.

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