An AI Workflow Audit maps how the work runs now, separates judgment from repetition, ranks the backlog, and turns the first priority into a build-ready plan.
Teams often know where work piles up but cannot defend which step to change first. The current process may span email, spreadsheets, a CRM, and decisions that live in one person's head. Building before that map exists moves the mess into code.
The audit is for a professional-services team with intake scattered across systems, a 3PL operation chasing case status, a B2B software team assembling reports by hand, or a production team routing work through chat. The pattern matters more than the industry: recurring work, unclear state, and expensive owner attention.
You choose the workflow or backlog that needs a decision.
I verify inputs, volume, steps, systems, owners, and failure points.
I score candidates by value, feasibility, risk, and dependency.
Your team decides which judgments and actions stay human.
The approved priority becomes a workflow map and build brief.
Missing rules, access, or baseline data remain explicit blockers.
You choose which operating problem the business is ready to own.
Your team defines which decisions, sends, and production changes require approval.
You decide whether the time saved is worth the access, maintenance, and change required.
One person who knows how the workflow really runs, including the awkward workarounds.
Real inputs and outputs with sensitive details redacted when needed.
Useful volume, time, wait, error, and exception data, or permission to mark the gaps.
There is no case-study number attached to this page. The audit produces a testable baseline and a first build hypothesis. Proof comes only after the same measures are recorded before and after implementation.
Current volume, hands-on time, wait time, rework, exceptions, and owner attention.
The same measures over an agreed window, plus operating cost and human overrides.
Nothing becomes public proof without support for the claim and written client permission.
This shows how an audit can size a candidate workflow. It is not a client result or a promise.
Three recurring workflows each consume about 10 team hours a week. The strongest candidate has four repeatable hours and six hours of judgment or exceptions.
3 workflows × 10 hours = 30 current hours reviewed. The first build target is the 4 repeatable hours in the strongest candidate, not all 30 hours.
The audit narrows the claim. Real value depends on measured volume, build cost, exception rate, adoption, and what the after-state records.
Describe the current drag and I will reply with the first workflow I would inspect.