Most AI projects stall between a working demo and a system people rely on. That gap is where we work.
AI strategy and architecture
Decide where AI belongs in your business, what it has to connect to, and what to build versus buy. Grounded in enterprise architecture practice, so the plan fits the systems you already run.
You get a target architecture, a costed roadmap and a clear first project.
Retrieval and RAG systems
Design a new retrieval pipeline, or find out why an existing one retrieves the right documents and still gives poor answers. We test each stage separately so the fix lands in the right place.
You get a diagnosis with evidence, an evaluation set and a working pipeline.
Multi-agent systems
Orchestration, tool access through MCP, memory, evaluation and guardrails for systems where many agents share one job. This is the same engineering that runs SAGE.
You get an agent design that is observable, testable and affordable to run.
Fractional engineering leadership
A senior technology lead for companies building their first AI product: architecture reviews, hiring, vendor choices and delivery rhythm, for a few days a month.
You get experienced judgement without a full-time executive hire.