/ Approach
Diagnose. Reformulate.
Ship working code.
Every engagement follows the same structure. We start with the workflow, not the tools.
/ The four phases
How an engagement unfolds.
Diagnose
We start inside your actual workflows. We map what exists, what's stalled, and where the real constraints are.
- Workflow audit
- AI usage inventory
- Data readiness
Design
We find the problem worth solving. Then we scope the smallest system that proves it out.
- Opportunity ranking
- Architecture sketches
- Go / no-go call
Build
We ship a working system. Code, prompts, and infrastructure, written by the same people who scoped it.
- Multi-model pipelines
- Guardrails & evaluation
- Production infrastructure
Hand it over
The system, the code, the documentation. Built so your team can run it without us.
- Full source + docs
- Runbooks
- Handoff sessions
/ Ways to work together
Three entry points.
AI Audit
Diagnose where your AI is stuck and where the real opportunity is.
System Blueprint
Architecture, scoping, and a validated plan. Ready to build.
Production Build
We ship the system. Code, infra, monitoring, docs. Yours.
/ Principles
What we believe.
Diagnosis before implementation.
If AI is only making your old workflow faster, you're solving the wrong problem.
New workflows, not patched ones.
We design around what AI makes possible now. Not what was possible before.
You own what we build.
Full code, full docs, full handover. No proprietary middleware.
Honest about fit.
If AI isn't right for your problem, we'll tell you.