Free AI use-case assessment


Score one real business process before you automate it. You’ll get a transparent recommendation, the weakest factor to fix, and a six-line workflow contract for a safer pilot.

Score a workflowRead the FAQ

Five factors, plus a risk check

  • 01FrequencyHow often does this workflow happen?
  • 02FrictionHow painful is the current process?
  • 03InputsHow ready are the source materials and rules?
  • 04ReviewabilityCan a person inspect and undo the result?
  • 05MeasurementCan you prove whether the workflow improved?

The audit

Answer for one real workflow. The decision updates as you go, and a high-impact risk check overrides the score.

Five-factor audit

Score one real workflow

01FrequencyHow often does this workflow happen?Repeated work gives an improvement more chances to create value.
02FrictionHow painful is the current process?A real bottleneck gives people a reason to adopt a new process.
03InputsHow ready are the source materials and rules?Reliable examples and source data reduce guessing and rework.
04ReviewabilityCan a person inspect and undo the result?Visible, recoverable mistakes make a safer first pilot.
05MeasurementCan you prove whether the workflow improved?A baseline separates useful evidence from an impressive demo.

How to use the result

The audit helps compare possible starting points. It cannot prove accuracy, adoption, safety, savings, or ROI before representative real work is tested.

  1. 01

    Strong pilot candidate

    Map the workflow contract, test safe examples, and measure against the current baseline.

  2. 02

    Narrow the scope first

    Improve the weakest factor. Reduce permissions, actions, inputs, or edge cases before building.

  3. 03

    Choose another workflow

    Find work that happens more often, creates more friction, and is easier to review and measure.

  4. 04

    Needs stronger controls

    A high-impact use case needs qualified oversight, restricted authority, testing, monitoring, and a manual fallback.

Questions, answered

Start with work that happens frequently, creates meaningful friction, uses accessible and reliable inputs, allows human review, and has a measurable baseline. Avoid making a high-impact autonomous decision your first workflow.

An AI workflow audit is a structured review of one business process before implementation. It tests whether the work is frequent, painful, supported by suitable inputs, reviewable, measurable, and safe enough for a controlled pilot.

No. The score is a decision aid, not a validated benchmark or results guarantee. A high score means the workflow may deserve a controlled pilot. Representative tests, failure logs, human review, and measured results are still required.

Use deterministic automation when triggers, rules, and actions are predictable. Consider an agent when the workflow genuinely requires interpreting unstructured information, choosing among tools, or adapting the next step. Use the least complicated system that can do the work reliably.

Record the current baseline before implementation. Depending on the workflow, measure time per task, error or correction rate, response time, cost per output, qualified leads, conversion, turnaround time, adoption, or gross margin. Include human review and failure costs.

This practical scorecard is informed by risk and implementation principles in the NIST AI Risk Management Framework and OpenAI's practical guide to building agents. It is not an official NIST or OpenAI assessment.