The chatbot makes up a policy.
It answers confidently, it's wrong, and companies have been held to what their bots said.
AI stress testing
I stress test the AI and automation you've already deployed: chatbots, workflows, document pipelines, and agents. I find out how it fails before your customers do, then help you fix it and prove the fix worked.
Fixed price. Written scope before I touch anything. Testing in staging, not on your customers.
It answers confidently, it's wrong, and companies have been held to what their bots said.
The dashboard is green. The work quietly stopped three days ago.
Retries without guardrails turn one order, one invoice, or one email into two.
The builder has moved on, the vendor points at you, and you're reading logs you didn't know existed.
How it works
What it does, what it depends on, and what the worst realistic failure would cost you.
Normal inputs, strange inputs, expired credentials, outages, duplicates, bad data. In staging, under a written scope you approve.
A plain-English report, the fixes that matter most, a retest showing they worked, and a one-page chart of who fixes what when it breaks.
Before AI, I spent 16 years in reliability, maintainability, and product-support engineering for complex fielded equipment: failure-mode analysis, fault trees, verification before release, and deciding who fixes what when something breaks in the field.
B.S. Electrical Engineering. I also run my own lab where I build and break AI systems on purpose. See the work
30 minutes, no slide deck. If a stress test isn't worth it for your setup, I'll tell you.