Make AI useful
in the work you actually do.
AI engineering consulting for teams that need a clear use case, a working integration, or a path from an impressive prototype to a dependable workflow.
Turn an open question into a bounded project.
You might have an internal process that takes too much manual effort, an AI prototype that works inconsistently, or a team unsure where AI would help. I can help clarify the task, test the important assumptions, and build a useful first version.
The starting point is the work: what goes in, what needs to come out, how to judge the result, and which decisions require a person.
What we can work on
Use-case assessment & prototyping
Compare a proposed AI workflow with simpler alternatives. Define success, identify data and access requirements, and build a small prototype to test whether the idea deserves further investment.
LLM workflows & tool integration
Connect models to approved documents, APIs, and internal tools. Design clear task boundaries, handoffs, and review steps for research, document processing, or content operations.
Evaluation & operational readiness
Build representative examples, inspect failure cases, and establish acceptance checks. Plan for permissions, cost boundaries, observability, and the point where the workflow needs human help.
What a useful handover looks like
Depending on the agreed scope, the result could be a documented go/no-go decision, a working integration, or a prototype with an evaluation set and a clear account of its limits. We agree on the deliverable before building.
A useful AI system has a job, a boundary, and a way to know whether it worked.
Questions you might be asking
Do we need an agent?
Perhaps. A fixed workflow or a conventional integration may be easier to operate. I would first examine what needs to vary and where autonomous decisions add value.
Can you work with our existing tools?
That is the preferred starting point. We can assess the APIs, data access, permissions, and constraints before deciding what needs to change.
Can you help with deployment as well?
Yes. AI application work can be scoped together with AWS, Kubernetes, CI/CD, and operational troubleshooting.
What would useful AI change?
Tell me about the workflow, the friction, and the outcome you need.