One AI strategy across every business unit — not a dozen disconnected pilots.
Multi-vertical, Fortune-class organizations don't have an AI problem, they have a coordination problem: every business unit is running its own pilot, on its own stack, reporting its own numbers, and none of it compounds. I build the shared infrastructure and governance layer that lets each unit move fast on its own agents while the enterprise gets one platform, one audit trail, and one scoreboard.
Walk into most large, multi-vertical organizations and you'll find the same thing: a dozen AI pilots, each one built by a different team, on a different stack, with no shared platform, no shared governance, and no way to compare one unit's results against another's. Every unit is reinventing the same agent, the same retrieval layer, the same audit problem — badly, in isolation.
I build the layer underneath all of that. A shared platform each unit builds on, governance that applies enterprise-wide without slowing any single team down, and agent patterns that get built once and reused everywhere. Every unit still moves at its own speed — but none of them are starting from zero, and none of them are invisible to the center.
Where cross-enterprise AI pays for itself
The value isn't in any one pilot — it's in what stops getting rebuilt, and what finally becomes visible at the portfolio level.
- Shared AI infrastructure — one platform for retrieval, orchestration, and deployment that every business unit builds on instead of standing up its own.
- Cross-unit governance — one policy, audit, and access-control layer applied consistently, so security and compliance aren't re-litigated per unit.
- Reusable patterns that compound — agents, prompts, and workflows built once and adapted across units, so the tenth deployment is faster than the first.
Scattered pilots produce a dozen demos and zero enterprise value. One platform with a scoreboard per unit produces a portfolio you can actually manage.
Four things that turn pilots into a portfolio.
From scattered pilots to one platform, unit by unit.
Map the pilots and pick the platform
We inventory what every unit is already running, find the shared infrastructure that covers the most ground, and agree on a KPI per unit up front.
Design the platform and the governance layer together
Shared infrastructure, cross-unit access control, and the audit layer are designed as one system — fixed scope and price, no surprises per unit.
Deploy the first pattern, then reuse it
We build the first agent pattern in one unit, harden it under real volume, then adapt and redeploy it across the next units — on-prem where required.
Roll every unit's KPI into one scoreboard
We track each unit against its own number, then roll it into a portfolio view — so leadership sees the whole picture, not a dozen disconnected updates.
Let's talk about turning your pilots into one platform.
Shared infrastructure, cross-unit governance, reusable patterns — if you're running AI across more than one business unit, that's my kind of problem. I'll tell you what it's worth before we build it.
