Preparation guide
How to prepare for an AI/process audit.
A good audit does not require perfect internal documentation, but it does work better when the right people, process reality, and success questions are already on the table.
Bring these inputs
What matters before you choose the next step.
One owner who understands the business priority behind the audit.
A realistic picture of the workflow, including the messy bits.
A rough sense of what success would look like if the drag was reduced.
Who should be in the room
The audit needs at least one decision-maker, one operational owner, and someone close enough to the current workflow to explain where the manual work and exceptions really happen.
What information helps most
The useful input is not polished documentation. It is clarity about the process, the data handoffs, the recurring delays, and the points where people already suspect waste lives.
Current tools used in the workflow
Typical bottlenecks, exceptions, and manual approvals
Any constraints around data quality, compliance, or oversight
What you should leave with
By the end of the audit, the business should know which AI/process opportunity deserves the first pilot, what has to be true before implementation starts, and which questions no longer need debating internally.
Best next step
Move from diagnosis into delivery.
Use the guide to sharpen the frame, then move into the offer that matches the real bottleneck.
Related guides
Keep moving through the adjacent questions.
These guides answer the next questions buyers usually have before they commit to the first modernization step.
Problem page
Your first AI/process audit should make the next move obvious.
What a first AI/process audit should actually cover, how to avoid vague AI promises, and what the useful next step looks like.
Problem page
Spreadsheet chaos is an operations problem.
Why spreadsheet-heavy operations create duplicated admin, weak visibility, and avoidable waste, plus the right first modernization step.