AI Development

Digital Documentation & Document AI

Document processing projects are judged on the awkward cases: the scan at an angle, the invoice in a layout you have never seen, the handwritten note in the margin. Getting ninety percent right is easy; the value is in what you do with the rest.

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Digital Documentation & Intelligent Document Processing

What We Build

Turning documents into data your systems can act on.

Data Extraction

Fields, tables and line items pulled from invoices, contracts, statements and forms into your schema.

Classification & Routing

Incoming documents identified and routed to the right queue, system or person automatically.

OCR & Handwriting

Scans, photos and handwritten forms processed, with quality handling for the ones taken badly.

Validation Rules

Business rules and cross-checks applied at extraction — totals matching, dates plausible, references known.

Human Review

A review interface that shows the document beside the extracted fields, focused on low-confidence values.

System Integration

Verified data pushed into your ERP, accounting or case management system, with reconciliation.

What The System Handles

01

Poor quality inputs

Skewed, low-resolution and photographed documents corrected before extraction.

02

Tables and line items

Multi-page tables and line-item detail, which is where most generic tools fall apart.

03

Multiple languages

Documents in several languages and scripts, including mixed-language pages.

04

Sensitive data

PII detection, redaction and retention policies applied automatically.

05

Continuous improvement

Corrections from reviewers used to improve accuracy on the formats you see most.

06

Throughput reporting

Volume, straight-through rate and review time, so the saving is measurable.

Where We Put AI To Work

We take on AI projects where the outcome can be measured — a cost that falls, a queue that clears, a decision that gets more accurate.

Talk to our team
Customer support
Financial services
Healthcare
Retail & e-commerce
Logistics
Legal & compliance
Manufacturing
HR & recruitment
Education

Advanced AI Engineering Capabilities

The difference between a demo that impresses and a system you can rely on.

Evaluation harness

A scored test set built from your real data, run on every prompt, model or retrieval change.

Guardrails

Input and output filtering, prompt-injection defences and refusal behaviour you have chosen.

Cost engineering

Caching, model tiering and context trimming so unit economics work at real volume.

Provider abstraction

One interface across providers, so switching model is configuration rather than a rewrite.

Self-hosted options

Open-weight models served in your own infrastructure where data cannot leave your estate.

Full request logging

Prompt, context, response and score retained for debugging and audit.

How We Deliver

One document type proven end to end before the rest follow.

Sample and assess

A representative sample of your real documents — including the bad ones — analysed for feasibility.

Build extraction

Pipeline built and measured against a labelled set, per field.

Review interface

Human review tooling and integration into the downstream system.

Roll out

One document type live, thresholds tuned on real volume, then expand.

Stop Retyping Documents

Send us a sample of your real documents, including the awkward ones. You will get a measured feasibility assessment.

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FAQs

Document AI Questions

Everything you need to know about our ai development work.

It depends on document quality and type, which is why we measure on your actual documents during assessment rather than quoting a headline figure. What matters more is the straight-through rate — how many documents need no human at all — and we report that per field.

Yes. Modern document models generalise across layouts rather than needing a template per supplier, which is the main advantage over older OCR tooling. Unusual formats simply score lower and route to review.

Processing can run entirely within your infrastructure with self-hosted models, or with enterprise API terms and zero retention. We design to your data policy and document exactly what goes where.

A single document type is typically live within six to eight weeks. Savings depend on volume — teams processing hundreds of documents a day usually see the return quickly, lower volumes take longer to justify.