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Free operations tool · about 3 minutes

Should this workflow become an AI agent?

Assess one recurring workflow. You will get a specific operating model, the reason behind it, and a safer way to pilot it.

Your answers stay in this browser. No account, lead gate, or AI API.

Workflow telemetry

Describe one workflow

Use the work as it operates today, not the version you hope to build.

01 How often does this workflow run?

Frequency creates leverage, but not readiness.

02 How much team time does it consume each month?

Count the work itself, handoffs, checking, and rework.

03 What shape are the inputs in?

Agents need reliable context before they need intelligence.

04 How stable are the steps?

A moving process creates a moving target for automation.

05 How predictable are exceptions?

The unknown edge cases define the real operating envelope.

06 Can you tell whether a run succeeded?

Without a measurable outcome, an agent cannot reliably self-correct.

07 What happens when a mistake occurs?

Autonomy should shrink as impact and irreversibility grow.

08 Can systems grant narrow, auditable access?

Safe agents need smaller permissions than their human operators.

09 How much judgment does the work require?

AI is useful for interpretation. Fixed rules belong in ordinary software.

One recommendation. No inflated readiness score.

How the model thinks

Value does not cancel risk.

A frequent workflow may be worth improving and still be a poor candidate for autonomy. This model scores leverage separately, prefers deterministic automation when rules are enough, and clamps autonomy when judgment or consequences demand a person.