Current-state audit
Map current tools, repeated decisions, manual handoffs, data sources, and the points where work slows down or becomes inconsistent.
AI Consulting
I design practical AI systems that remove repeated work, not add another layer of complexity.
Most AI work fails because people start with the model instead of the workflow. I help map where AI can actually carry useful work, where it should stay out of the way, and how to connect it to the tools a team already uses.
What this can cover
scope by requestAgentic workflow design
Design agent-like flows with clear inputs, boundaries, checks, fallback paths, and human approval where the system should not act alone.
Measured rollout
Define acceptance criteria, logging, error handling, ownership, and test cases so the first version can be trusted before it is expanded.
How I would use this
practical AI scopeSmall teams with messy operations
Best for founders or teams that already have repeated work happening in email, spreadsheets, forms, CRMs, docs, or internal tools.
Typical outcomes
A clear workflow map, a realistic AI architecture, prioritized build steps, and a first version that reduces manual work without hiding risk.
Delivery format
Usually starts as a focused scope session, then becomes either a build plan, a prototype, or a small implementation sprint.