What this engagement includes
We design pipelines that classify documents, extract fields, and push results into the systems your staff already use.
Human-in-the-loop is first-class where regulations or error cost demands it - not an afterthought.
How we deliver
We tailor and sequence these workstreams around your priorities, timeline, and internal constraints.
Ingestion
Email, SFTP, portals, or scanners normalised to a processing queue.
Understanding
Classification, key-value extraction, tables, and confidence scoring.
Integration
APIs, files, or database writes with idempotency and audit trails.
Operations
Admin tools, reprocessing, and reporting on accuracy and backlog.
Our work
View our recent work below - each card links through to the live site.
We can walk through relevant case studies and references on a call - many of our clients ask for NDA-backed detail before we share specifics.
Typical flow
A reference sequence; we adapt depth and gates to your organisation.
- 01Sample
Corpus & targets
Representative documents, field definitions, and accuracy SLAs.
- 02Train
Model & rules
Iterative tuning with labelled data and edge-case handling.
- 03Pilot
Parallel run
Compare automation output to manual baseline in production volume samples.
- 04Run
Scale & sustain
Production monitoring, periodic re-evaluation, and change control for new doc types.
| # | Stage | What happens |
|---|---|---|
| 01 | Sample Corpus & targets | Representative documents, field definitions, and accuracy SLAs. |
| 02 | Train Model & rules | Iterative tuning with labelled data and edge-case handling. |
| 03 | Pilot Parallel run | Compare automation output to manual baseline in production volume samples. |
| 04 | Run Scale & sustain | Production monitoring, periodic re-evaluation, and change control for new doc types. |
Who we work with
Insurance, logistics, legal, property, and back-office teams handling high document volumes.
Infrastructure
AWS, Microsoft Azure, Google Cloud, hybrid topologies, and mainstream SaaS - selected against your security, residency, latency, and cost constraints.
Deliverables
Concrete outputs, documented and handed over with the build.
- Sample set and accuracy targets agreed up front
- Integration to your case, ERP, or storage systems
- Retention and privacy handled to your policy
- Monitoring for volume and errors
Engagement model
Partnership patterns we document in the SOW or master agreement.
- -Pilot on a subset of document types
- -Production rollout after sign-off
Commercial model
Scope follows document diversity, monthly volume, accuracy targets, and review model. We quote after discovery.
We start with a focused discovery (paid or unpaid, depending on complexity). You receive a written scope or SOW: milestones, acceptance tests, and a defined change process. NDAs and your procurement steps are routine.
Fixed scope
Documented requirements, milestones, and acceptance criteria. Delivery targets an agreed release or go-live.
When it applies
Pilot on a subset of document types with agreed accuracy gates.
Phased programme
Successive increments with checkpoints, integrations, and change control as scope evolves.
When it applies
Production scale, many types, and tight SLAs on extraction or routing.
Ongoing partnership
Retained monthly capacity for maintenance, incremental features, releases, and operational support.
When it applies
Model or rules drift, new layouts, and throughput changes over time.
Fees are quoted per engagement after discovery. Third-party cloud, licensing, and usage charges are usually billed to your accounts unless we agree otherwise.
Talk to our team