What is your AI workflow risk actually costing you?
5 questions. A real number. Estimates are welcome — we calculate a range, not a precise figure. Most regulated organizations lose between $800K and $4M annually to workflow failure modes they've never measured.
2 minutes to complete
Question 1 of 5
Question 01 / 05
Which regulated industry are you in?
This calibrates all subsequent benchmarks and compliance exposure defaults to your regulatory environment.
Question 02 / 05
How many customer workflows does your AI handle per year?
Claims, applications, service requests, enrollments, onboarding — any transaction-bearing interaction. Use your annual total.
Common estimate:
Question 03 / 05
What % of those workflows end without a completed transaction?
Include handoffs to agents, abandoned flows, unresolved escalations, and any outcome that requires manual follow-up.
Common estimate:
20%
5% — Low30%60% — High
Question 04 / 05
What's the average transaction value at risk per incomplete workflow?
The value of the underlying product, policy, service, or payment that fails to close. This varies widely by product type — use your best estimate.
Common estimate:
Question 05 / 05
How many staff-hours per week go toward fixing what your AI didn't finish?
Think rerouting, manual completion, agent escalation, rework, and exception handling — any time spent covering workflows your AI started but couldn't close.
Common estimate:
Your Estimated Annual Cost of Doing Nothing
Based on your inputs, your AI workflow risk exposure is approximately
—
per year
—
—
Unlock full breakdown
See exactly where this exposure comes from.
Enter your work email to unlock the full breakdown — including cost by dimension, your primary failure mode mapping, and a quarterly cost-of-delay figure.
Cost of Incompletion vs. Delay vs. Manual Fallback vs. Compliance Exposure
Your primary Failure Mode (FM1–FM5) mapping
Cost of waiting one quarter to act
No spam. Used to send your report and follow up if relevant.