Use case — Document management

Documents: find them, trust them.

Filing, extraction, search, control: cross-cutting work that absorbs time in almost every team. The diagnostic says where AI makes document management more reliable—and where it risks introducing errors that are hard to spot.

Typically for an organisation of 20 to 500 people, across all departments.

EXAMPLE · fictional data
document · example
IntakeFilingExtractionSearch

01 — The workflow

The workflow, as it actually happens.

01

Intake

Collect documents from multiple sources and formats.

02

Filing

Store and index against a stable taxonomy.

03

Extraction

Retrieve the right information without inventing any.

04

Search

Find the right document, in its current version, fast.

01

Where AI genuinely helps

On filing, indexing, assisted extraction and search: automate the preparation to give time back to the work of analysis. Sensitive information stays under control.

EXAMPLE · fictional data
assistance · example
FilingExtractionControl

02

Where caution is required

A badly extracted figure that spreads does more damage than slow filing. The diagnostic requires a verifiable trail and human validation before any binding use of a document.

EXAMPLE · fictional data
control · example
Assisted01Verified02Approved03

03

How the diagnostic scores it

Our proprietary scoring methodology scores each step on impact, feasibility, risk and cost, and returns a challengeable verdict rather than an opaque score.

EXAMPLE · fictional data
scoring · example

Impact86

Feasibility72

Risk41

Confidential · EN / FR · on request

Start with the verdict.

Show us the work slowing your teams down. We will tell you plainly whether it deserves an AI solution.