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Solutions / What we do

Document Processing

From a pile of files to information you can use.

Collect, extract, compare and review documents through a workflow that keeps the original evidence close.

Illustration of an AI-assisted document workspace
KMCP / SolutionsDocument Processing

The opportunity

Reading is only one step in a document process.

Documents need somewhere to arrive, a structure to fit and a person or rule to decide what happens next. We combine intake, extraction, validation and review so information can move into your business systems without losing its source or approval history.

What we can help with

A complete workflow, considered.

Scope the parts you need, connect what you already have, and build from a useful first release.

01

Controlled intake

Collect files from agreed uploads or connected sources. Check file types, required metadata and access, then associate each document with the correct job or record.

02

Structured extraction

Extract agreed fields, tables or categories using an appropriate parsing or AI approach. Keep links to the original and flag missing or invalid values.

03

Review and comparison

Show extracted information beside its source. Compare versions or supplier submissions and let a reviewer correct, approve or reject the proposed data.

04

Downstream handoff

Send approved information to the right system or prepare a controlled export. Record what was transferred and provide a recovery path if the destination rejects it.

A team working together around a table with laptops

Built around your context

The details matter.

A few decisions to agree together before delivery begins.

  • Quality depends on document formats and the fields being extracted.

  • Representative sample files are needed before setting acceptance criteria.

  • AI output is validated; original files remain available to reviewers.

A few useful answers

Before we begin.

Every project starts with its own context. Here are the questions we hear first.

Can you handle scanned PDFs and spreadsheets?

We assess the actual formats and quality using representative examples. Scans, complex tables and handwriting may need different extraction methods and more review than structured files.

Is the extracted information automatically accepted?

We define validation and approval rules for each field and workflow. High-impact or uncertain results can remain in review until an authorised person confirms them.

Can approved data go into an existing system?

Yes, through suitable APIs or controlled imports. We agree mappings, duplicate handling, error reporting and the source record needed for traceability.

Start a conversation

What could work better in your business?

Tell us where the work gets stuck. We’ll help you identify a useful starting point and the right scope for it.

Let’s talk

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