Every month your team waits is a month your competitors don't.
The AI transition is harder
than anyone admits
1 - Too many tools, no architecture
Your team has tried ChatGPT, Copilot, maybe a RAG prototype. But nobody has a plan for how agents fit into your actual system.
2- Consultants who can't code
Big firms send strategy decks. You need someone who can refactor your codebase and set up the agent infrastructure themselves.
3- Engineers stuck in old patterns
Your developers are brilliant. But agent-oriented architecture is a fundamentally different way of thinking about systems.
4- Enterprise pricing, startup budget
McKinsey charges $500K. Upwork freelancers lack depth. There's almost nothing in between for serious engineering teams.
Three phases.
Clear deliverables.
No mystery.
Week 1-2
Architecture Audit
We map your current systems, identify where AI agents create the most leverage, and design the target architecture. You get a concrete blueprint, not a vague roadmap.
Week 3-6
Implementation Sprint
Hands-on building alongside your team. We refactor the critical paths, set up agent infrastructure, and ship the first production agent. Your engineers learn by doing.
Monthly
Architecture Review
Periodic check-ins as your team scales the agent system. Code reviews, architecture decisions, performance optimization. You graduate from needing me.
Built by architects who ships, not a strategist who presents
Process Thinker
ERP and solution architecture background means we understand your business logic before touching your code.
Builder, Not Advisor
We write code, refactor systems, and set up infrastructure. Your team gets a working system, not a PDF.
Agent Architecture Specialist
Not generic "AI consulting." Focused specifically on the transition to autonomous agent systems.