Use case — Management reporting

Reporting: less collection, more decision.

Collection, consolidation, control, distribution: recurring work that absorbs management time. The diagnostic says where AI makes reporting production more reliable—and where it risks introducing silent errors.

Typically for a leadership team or controlling function of 20 to 500 people.

EXAMPLE · fictional data
reporting · example
CollectionConsolidationControlDistribution

01 — The workflow

The workflow, as it actually happens.

01

Collection

Gather the data from multiple sources.

02

Consolidation

Aggregate and normalise without breaking the definitions.

03

Control

Check consistency and trace the discrepancies.

04

Distribution

Produce and distribute the right level of detail.

01

Where AI genuinely helps

On collection, formatting and drafting the commentary: automate the preparation to give time back to analysis. Definitions and figures stay under control.

EXAMPLE · fictional data
assistance · example
CollectionFormattingControl

02

Where caution is required

A wrong figure distributed does more damage than a late report. The diagnostic requires a verifiable trail and human validation before anything is distributed.

EXAMPLE · fictional data
control · example
Prepared01Verified02Distributed03

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.