AI speeds up the lifecycle. I keep it correct.
I'm a business analyst focused on AI in the software development lifecycle: from requirements through UAT and release, with a person checking every stage. Five years in insurance, health benefits and food distribution, plus my own shipped apps.
What I'm looking for
AI-focused business analysis and process improvement roles, such as AI Business Analyst, AI Process Improvement Analyst or AI SDLC Analyst. Fully remote, in any industry. I define what the AI product should do, build the agents and skills, and validate them in testing.
Measured, not described
A few results from past projects. Every bar is a before-and-after change I measured.
I'm not a developer, and that's the point
I understand how front ends, back ends and APIs fit together, and I can read what AI writes. I use tests, Sentry and console logs to confirm each part does what it should. I direct the AI instead of accepting a 1,200-line file I can't explain.
A person at every stage
The diagram above is the whole idea. AI produces drafts, code and tests quickly. A person defines the problem, sets the limits, and decides what ships. Defects get caught and fixed before release, not after.