Decide what to build · AI consultant
AI consultant with a plan.
I help founders and operating teams decide where AI can remove real work, what data and controls the solution needs, and whether the idea is worth building. When the case is strong, I can also own delivery.
Discuss your systemThe situation
Your team has an AI idea but no shared definition of success. You need to know what should be automated, what must stay with a person, and which existing systems and data will determine the result.
How I work
I examine the current process and representative examples, identify the useful decision or handoff, test feasibility against your data, and propose a scoped first release with quality and operational checks.
What I can deliver
- A prioritized use case tied to a specific operating problem
- A practical scope covering data, integrations, human review, and failure cases
- A way to assess answer quality or workflow performance before expanding
- A delivery path that can become a working system when the case is sound
A good starting point
- You have a business problem and want to test whether AI is the right tool.
- Your current prototype works in demos but fails on real examples.
- You want direct advice from the person who could also build the solution.
Relevant work
Examples of the problems I have built around. Each project page explains the constraint, delivery, and result.
Enterprise client engagement
Enterprise document and form automation
A constrained process turned into a checked production flow
Production client system
Knowledge search across 500K+ documents
Search designed around access and answer quality
Production-oriented portfolio system
Controlled multi-step AI workflows
A portfolio system exploring human approval in multi-step AI work
Questions buyers ask
When should we start with AI consulting?
Start with consulting when the problem is real but the solution is uncertain. We can compare possible workflows, inspect the data and edge cases, and define what a small, useful first release would prove.
Will you recommend AI even if a simpler solution works?
No. A reliable rule, search feature, or ordinary integration can be the better answer. The goal is to remove the costly step with a system your team can maintain.
Can you build the system after the assessment?
Yes. If the assessment points to a viable build, I can carry the work from a focused first release through integration, evaluation, and production handoff.