AI Workflow Audit
Start with the work, not the tool.
A review of how a recurring process actually happens, where effort is being lost and which steps could benefit from AI assistance. Some findings may call for process changes rather than new technology.
TALK ABOUT A PROJECTWho this is for
Teams unsure which recurring tasks are worth improving or automating.
What we can produce
A current-process assessment, friction points, review risks and prioritized opportunities. Implementation follows only if separately agreed.
One practical application
A weekly content process might lose more time in unclear approvals than in drafting. The audit can distinguish an approval problem from a useful drafting or research opportunity.
Where time goes
Your team may be copying information, repeating research or waiting on unclear handoffs. Automating the wrong step can make those problems harder to see.
A system people can use
A documented recommendation or working process appropriate to this engagement, with clear inputs, responsibilities and human review points. Implementation depth is agreed before work begins.
- Repetitive task review
- Manual work and handoff mapping
- Bottleneck identification
- AI opportunity assessment
- Human-led task and review boundaries
From review to routine
We walk through a real example, map inputs and responsibilities, identify friction and rank opportunities by usefulness, effort and risk. The output is a prioritized set of recommendations for an agreed process.
LET’S FIGURE IT OUTWill every recommendation involve AI?
No. A clearer template, fewer handoffs or an assigned decision owner may solve the problem more effectively. The audit is designed to identify useful changes, not justify a tool purchase.
Have something in mind?
Tell me what you’re trying to make, change, fix or figure out.
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