Production AI for teams
that can't afford a pilot that stalls.
We design, build and ship intelligent systems, then help your organization actually adopt them. Twenty years of Fortune 100 engineering discipline, applied to agents.
Most AI programs stall between the demo and the deploy.
The demo works. The system doesn't.
Prototypes skip evaluation, observability and failure modes. We build the parts that decide whether it survives real load.
Governance shows up too late.
Review boards can't keep pace with agents. We make governance continuous, so nothing waits on a committee.
Nobody owns adoption.
Shipping is half the job. We work alongside your teams until the system is theirs, not ours.
Six disciplines, one standard
Engaged individually or as an end-to-end program. Every engagement ends with something running in production.
AI-powered software development
Full-lifecycle delivery of intelligent applications, from concept through secure, scalable production systems.
Agents & agentic systems
Multi-agent pipelines for document processing, classification and decision support that keep humans in control.
Lifecycle & adoption consulting
Readiness assessment through governance and rollout. Pragmatic paths from pilot to production, responsibly.
Legacy modernization
Incremental paths that balance innovation with operational stability. No big-bang rewrites, no disruption.
Evaluation & quality
Eval frameworks, test strategy and QA discipline for AI systems that must not fail quietly.
Product & UX design
Interfaces that make intelligence feel intuitive, designed around how people actually work.
We don't just advise. We ship.
Two products in production today. Proof the methods survive contact with real users.
Built by someone who builds
For more than twenty years I've built, mentored and scaled engineering, product and architecture teams at Fortune 100 companies, delivering systems that hold up under real production load, real compliance requirements and real organizational complexity.
Today my focus is the Agent Development Lifecycle: what changes when the thing you ship reasons instead of merely executes. Evaluation replaces unit testing as the primary quality gate, governance becomes continuous, and the hard part shifts from writing code to deciding where autonomy is warranted.