AI Workflow Diagnostic

Is this workflow ready for AI?

Before choosing a tool or building a pilot, check whether the workflow has enough repetition, value, source material, review structure, and ownership to become useful in daily operations.

Start assessment Describe workflow by email

01 What workflow do you want to evaluate?

Describe it in one sentence.

02 How often does this workflow happen?

03 Roughly how many cases happen per month?

04 How much time or cost pressure does this workflow create?

Major workload, delay, or hiring pressure Visible recurring workload Annoying but not a major bottleneck Low-cost and low-pressure Not sure

05 How consistent is the workflow?

Most cases follow a clear pattern Many cases follow patterns, with some exceptions Some patterns exist, but the workflow is inconsistent Every case is different Not sure

06 Are the knowledge sources or rules available?

Sources are documented and reasonably current Sources exist but are scattered Some knowledge exists, but much is tribal knowledge No reliable source material exists Not sure

07 What is the quality of the inputs?

Inputs are usually structured and clear Inputs are semi-structured but understandable Inputs vary a lot and often need clarification Inputs are messy, incomplete, or unreliable Not sure

08 What happens if AI produces a wrong or incomplete output?

Low risk: a person can easily catch or fix it Moderate risk: mistakes matter but can be reviewed High risk: mistakes could affect customers, money, compliance, or trust Critical risk: serious legal, safety, or financial harm Not sure

09 Can a human review point be clearly designed?

Yes, it is clear who should review and when Probably, but the review process needs design Review responsibility is unclear today The team expects full automation with no review Not sure

10 Can this workflow fit into existing tools?

The workflow already runs through known tools Mostly, but some handoffs are manual It is spread across many disconnected places It is unclear where the workflow should live Not sure

11 Can success be measured?

Yes, we can measure time, cost, speed, quality, or volume We can probably define metrics with some work Metrics are unclear today We cannot measure improvement meaningfully Not sure

12 Who owns this workflow?

A specific business owner is accountable A team owns it, but accountability is shared Ownership is informal or unclear Nobody clearly owns it Not sure

Is this workflow ready for AI?

Your diagnostic result

Recommended next step

Mini advisory report

Risk flags

Score breakdown