What unchecked AI output could expose you to.
Choose how to enter your monthly AI volume, add what one customer-facing error costs, and see every step behind three evidence-anchored exposure scenarios.
Your numbers
≈ 0 outputs/month at $0.0025/output
Spend override is in effect. The calculation uses the implied output volume shown above and ignores the direct-output field.
Annual cost of unvalidated output
Using 0 monthly outputs that reach a customer, and $0 per incident, here is the full calculation at two assumed error rates.
The ceiling assumes every erroneous output becomes a full incident. In practice only a fraction do. There is no reliable public figure for that fraction, which is why the realistic range is shown as a band rather than a number.
This excludes the hours your team already spends checking AI output before it goes out. In most organisations that is the largest cost of all, and almost nobody has measured it.
Not all of this is cash. Some is refunds and credits, some is staff time, some is a customer who does not come back.
A validation engagement on one workflow tells you which fraction of your errors actually become incidents, and what they cost. Two to four weeks, one dataset, no integration required.
For reference, TaskHived's own testing found roughly four in ten outputs required correction, against a prompt bank deliberately built to induce failure. That is an upper bound from a stress test, not an expected rate for production traffic.
Written estimate
Get this as a written estimate
We will send a one-page exposure estimate for your sector, with the assumptions written out, plus a specimen validation report showing what a client receives.
Or email us directly at hello@taskhived.com.
TaskHived is an independent verification platform for AI outputs. Pre-deployment, post-production. A Start-up Company of ETH Zurich. Member of AI Verify Foundation.