Build your AI Center of Excellence. Then take it to every team.
We set your AI strategy, stand up the center that owns it, and enable every division to use it safely and at speed.
Book an intro callA 30 minute conversation about where AI stands in your organization today.
AI is everywhere in your company. It is not yet working together.
Pilots without a plan
Every department is experimenting on its own, with its own tools and its own vendors. Few of those pilots ever reach production.
The same work, rebuilt
Teams solve identical problems separately. Prompts, integrations, and lessons learned stay trapped inside one group.
Risk nobody owns
Data handling, model choice, and review standards vary team by team. Leadership cannot see what is running or whether it is safe.
One road, built once, that every team can travel.
A Center of Excellence is the central team that brings AI into the company, proves what works, and feeds it forward to every division. We build that center with you, then hand it over running.
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Assess
First 30 days
Find where AI creates real value
We map current AI use across divisions, rank opportunities by value and risk, and agree a 12 month roadmap with leadership.
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Build
Days 31 to 90
Stand up the Center of Excellence
Charter, operating model, intake for division requests, shared platform, and the governance that lets teams move quickly without guessing.
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Scale
Day 91 onward
Enable every division
Role based training for developers, architects, and leaders, reusable building blocks, and a steady cadence of new use cases moving into production.
What we do
AI strategy and roadmap
A clear point of view on where AI fits your business, which use cases come first, and how you will measure return.
Center of Excellence setup
The team, the charter, the platform, and the operating rhythm that turn scattered pilots into a managed portfolio.
Division enablement
Cohort training and certification tracks so every function can build and use AI with confidence, not just the engineering team.
AI assurance
Controls that prove your AI is doing what it should, built into how software ships rather than bolted on at the end.
Built for organizations that answer to regulators.
Healthcare, financial services, manufacturing, and infrastructure cannot afford AI that works in a demo and fails an audit. Governance is part of the road, not a gate at the end of it.
- Policies written as code, so rules are enforced automatically and consistently
- Provenance and telemetry for every model driven decision
- Verification gates in your release pipeline before anything reaches users
- An open maturity model so you can measure progress over time
Led by Sonia Mehta, an engineering leader of 25 years who still builds.
Sonia has spent her career leading engineering organizations and shipping software in environments where reliability and compliance are not optional. She builds with today's AI tools hands on, from agent architecture to evaluation harnesses, so the advice you get comes from someone who has done the work.
She writes about platform thinking, agent architecture, and AI governance in the Paved Road newsletter and on LinkedIn.
Start with a conversation.
Tell us where AI stands in your organization today. We will tell you honestly what we would do first.