A state-owned enterprise finance team

The work

The work behind the question.

Internal information requires explicit data boundaries, access controls and model processing locations.

The approach

Put AI inside the workflow.

Deploy in the customer environment, scope sources and tasks, and retain professional review by finance staff.

Evidence & scope

The evidence, with its scope.

This case covers delivered local models and workspace applications. It does not imply every feature works offline or establish an audit certification.

Basis: customer-supplied information and existing project material. No independent audit results are presented.

What can be reused next?

Reuse defined workflows, source structures and review patterns—not every requirement from one engagement. A new deployment needs its own data, permissions and acceptance scope.

Read the pilot guide

Enterprise AI
in the customer environment.

The work behind the question.

Put AI inside the workflow.

The evidence, with its scope.

What can be reused next?

Relevant product direction

You don’t need to change everything.
Start with work that matters.

Enterprise AIin the customer environment.

The work behind the question.

Put AI inside the workflow.

The evidence, with its scope.

What can be reused next?

Relevant product direction

You don’t need to change everything.Start with work that matters.

Enterprise AI
in the customer environment.

You don’t need to change everything.
Start with work that matters.