WORK / PROOF OF SYSTEM
Systems, not demos.
Each project isolates one part of the enterprise AI operating model and makes it concrete through code, decision logic, economics, or architecture.
AI Transformation Engine
A vendor-neutral lifecycle engine that connects opportunity selection, architecture, evaluation, governance, economics, and production readiness.
AI Evaluation Lab
Production-readiness scoring across task success, groundedness, tool accuracy, retries, escalation, latency, and cost.
Tokenomics
Unit economics for AI systems: inference, retries, human review, context inflation, routing, platform costs, and payback.
Enterprise AI Patterns
Reference patterns for deterministic automation, LLM assist, RAG, agentic workflows, HITL, observability, and governance.
MCP Patterns
Production-oriented patterns for capability discovery, identity, policy, routing, composition, and enterprise MCP gateways.