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Reliability readiness scorecard

Ten yes/no questions, about five minutes. The score decides whether an Agent Reliability Review is the right next step, whether you should skip straight to a sprint or retainer, or whether the honest answer is not yet. Results appear on the page. No email gate, no account, no data stored.

Question 01You have at least one AI agent, automation, or workflow running in production today.

A ChatGPT workflow a person triggers by hand does not count. A scheduled Zap, an n8n workflow, an agent that sends emails or updates a CRM without human trigger — that counts.

Question 02You can name every AI workflow currently running in your business without checking.

If you would need to open three tools to answer this, mark no.

Question 03You know, per workflow, what happens when it fails — or if anything at all is watching for a failure.

Monitoring counts; hoping does not.

Question 04A workflow has produced a wrong output, an empty output, or stopped running in the last 90 days.

Silent failures count if you know about them. Not knowing counts as no — it is the signal the review pays for itself on.

Question 05A customer, client, or internal user has ever noticed one of these failures before you did.

This is the blast-radius question. A yes here is a strong reason to run a review.

Question 06You have somebody internally who owns whether the workflows are still working next Tuesday.

Not the person who built it. The person accountable for it running.

Question 07You could produce, on request, a list of every credential and integration each workflow depends on.

Without asking the person who set it up.

Question 08A single workflow going wrong for a week would cost your business more than $2,000.

Refunds, remediation, lost deals, angry-client discounts, staff time cleaning up.

Question 09You have budget to spend $999–$3,500 this quarter on fixing reliability if the diagnosis warrants it.

Not "would like to." Have.

Question 10You would rather have a written diagnosis with evidence than another conversation about possibilities.

Signal question. If the answer is no, a discovery call is a better first step than a paid review.

0 of 10 answered

How this scorecard works

The ten questions map to the four silent-failure modes and the buying signals for each Phronimos engagement. The score is not just a total: it also reads whether AI is running at all, whether a failure has already hit a customer, whether somebody owns operation today, and whether a single workflow failing for a week would cost more than the review fee. The recommendation combines all four signals. The full formula is below.

See the formula
  • Q1 (agents in production) — if no, no other signal matters; recommendation is not-yet.
  • Q4 or Q5 (evidence of failure) — if either yes, a review is warranted regardless of total.
  • Q6 (accountable owner) and Q8 (blast radius >$2k/week) — combined with Q1 + Q4, indicates a retainer-shaped buyer.
  • Q9 (budget) and Q10 (want a diagnosis) — buying-readiness signals; a no on either shifts the recommendation toward a free call.
  • Total yes count — 0–3 not-yet, 4–6 review, 7–8 review or sprint, 9–10 review-then-retainer.

Last reviewed: 2026-08-13.