AI Workflow Audit

Most teams do not begin with a clear agent 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 make the opportunity concrete before anything is built.

What the audit covers

• Current workflow shape, including the real points of delay, rework, and ambiguity
• Which steps are suitable for an agent, and which still need explicit human intervention
• What inputs, outputs, and exception paths the system would need to handle
• 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 agent opportunities
• a priority order for implementation

If a bespoke build makes sense, the audit becomes the foundation for that engagement.