AI Consulting
Responsible AI adoption. #
Practical support for teams adopting AI in real workflows, with attention to privacy, review, governance, documentation, and rollout.
Work
AI workflow design that people can actually use. #
What responsible AI adoption includes
Use-case scoping, data boundaries, user profiles, review expectations, documentation, evaluation criteria, and rollout planning.
How I approach AI workflow design
I start from existing workflows, identify where AI changes risk or responsibility, then design artifacts teams can maintain after the initial project.
Boundaries
I do not provide legal advice, formal regulatory guidance, security audits, or compliance certification. I can help teams clarify operating assumptions, documentation, and review practices for responsible AI use.
Responsible adoption
Building or adopting AI responsibly?
I work with teams that want useful AI systems, clearer workflows, and practical governance without sacrificing privacy, human judgment, or institutional trust.