Enterprise AI consulting

Make AI ready for production.

I help engineering teams integrate AI agents with real software, build defensible evaluation systems, and deploy with confidence.

Discuss an enterprise project

Deploy AI within existing systems.

Most AI proofs-of-concept do not fail because the model cannot answer a prompt. They run into integration friction, permission boundaries, unpredictable outputs and difficult operational tradeoffs.

The work is engineering: defining the correct workflow, containing agent behavior, measuring quality, and making the system maintainable.

  • Custom AI agents, tool orchestration and MCP integrations
  • Workflow authorization, human review and escalation
  • LLM evaluation harnesses and regression tests
  • Retrieval, data access and enterprise API integration
  • Tracing, monitoring, resilience and cost controls

How we can work together.

Defined scopes, visible deliverables and a clear next decision after each engagement.

01

Architecture review

Assess your agent design, failure modes, integrations and deployment gaps. Deliverable: prioritized recommendations and an implementation plan.

02

Focused proof of value

Build a bounded AI workflow with representative data, measurable checks and a live demonstration.

03

Production implementation

Engineer the remaining access controls, reliability, testing, telemetry and handoff needed to operate it.

Common questions.

Can you work with our existing stack?

That is the intended starting point. We'll inventory your APIs, access controls, runtime constraints and deployment preferences before choosing tools or models.

Do you replace our engineering team?

No. Engagements work best as a focused engineering partnership, with code, documentation and operational knowledge transferred to your team.

Can we start with an existing prototype?

Yes. A production-readiness assessment can identify integration, security, quality or operational gaps before committing to a larger implementation.

Discuss your AI project.

Tell me what you need to integrate, automate, or make more reliable.

Discuss your project