SolutionDocument Processing

AI & Automation

Document intake: classification, extraction, and routing at scale

Pipelines combine deterministic rules and models where appropriate. Human review queues are first-class when accuracy or regulation requires them.

Accuracy targets and sample sets agreed before production commitments.

Routing into case, ERP, or storage systems with retention policies respected.

Monitoring for volume spikes, OCR quality drops, and model drift.

On this page

Overview

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.

Core services

Components we combine and sequence based on your constraints and timeline.

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.

Typical flow

A reference sequence; we adapt depth and gates to your organisation.

#StageWhat happens
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.

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.

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