AI Workflow Audit
Most teams do not begin with a clear worker spec. They begin with operational drag: bottlenecks, broken handoffs, repetitive intake, or decisions that arrive too late.
The AI Workflow Audit is a fixed-scope engagement designed to identify the first durable agent worker worth deploying before anything is built.
What the audit covers
- Current workflow shape, including the real points of delay, rework, and ambiguity
- Which worker role should exist inside the workflow, and which responsibilities it should own
- Which steps are suitable for a durable agent worker, and which still need explicit human intervention
- What inputs, outputs, systems access, and exception paths that worker would need
- Whether the surrounding workflow is mature enough to support deployment
- Where the first implementation should begin if the studio moves into a bespoke build
What comes out of it
The output is not a pile of generic AI recommendations. It is a practical roadmap:
- a workflow map
- a brief for one or more durable worker roles
- a priority order for implementation
If a bespoke build makes sense, the audit becomes the foundation for deploying the first credible worker into the organization.