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PrototypeGoverned Data Agent

Board-ready findings where every figure is recomputed before anyone sees it.

Advisory and analytics platform · Architecture built for an AI advisory platform

3stages: connect, measure, verifyReported
Everyclaim linked to its query and sourceReported
0raw data leaving the client's environmentReported
01
The problem

An AI advisory platform needed findings a board could audit: computed rather than narrated, and verified before release.

£What it was costing them

Findings that can't be defended in a board meeting, and data that leaves the organisation.

02
The existing workflow

How the work was done, and where it broke.

✕

Most AI analytics ask the board to trust the model.

✕

Summaries have no path back to the source data.

✕

Data is often copied into a vendor's cloud.

✕

A language model checking its own numbers is not a check.

03
The solution

Computed, not narrated. If a figure doesn't reconcile, it isn't released.

1Connect read-only

Records are cleaned into one trusted view inside the client's environment.

2Measure

Each goal becomes a KPI, and the gap is sized in cash and capacity.

3Verify independently

A separate check recomputes every figure. Anything that doesn't reconcile is rejected.

4Release only aggregates

Only verified, aggregated results leave the environment.

04
Architecture

From input to outcome.

1

Inputs

  • Client systems, read-only
2

Prepare

  • Records cleaned into one trusted view
3

Measure

  • Goals turned into KPIs; gaps sized in cash and capacity
4

Verify

  • Independent recomputation of every figure
  • Anything that doesn't reconcile is rejected
5

Release

  • Only verified, aggregated results leave the environment
05
Integrations

Works with the systems already in place.

⇄

Read-only connections to the client's data sources

06
Business value

What changed for the business.

Every claim traceableReported

Each figure links to its query and source.

Numbers computed, not narratedReported

Figures come from deterministic calculation, not a language model.

Data stays homeReported

Raw data never leaves the client's environment.

07
The evidence

Shown on real work.

Connect and prepare, measure and diagnose, verify and release: three stages, with an independent recomputation before any figure is shown.
About the evidence

An architecture built for one platform. No customer outcome figures are cleared for sharing.

How we label results

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