Industry Cross-Enterprise

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.

1 platform Shared across every business unit
N scoreboards One per unit, rolled up to one view
1 KPI Attached before we build, per unit

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.

Each one shared once, used by every business unit.
01 / Platform
Shared AI infrastructure
One retrieval, orchestration, and deployment layer that every unit builds on — instead of a dozen incompatible stacks doing the same job worse.
02 / Governance
Cross-unit governance
One policy, access-control, and audit framework enforced enterprise-wide, so every unit's agents meet the same bar without a separate review each time.
03 / Patterns
Reusable agent patterns
Agents, prompts, and workflows built once and adapted per unit — the fifth deployment takes a fraction of the time the first one did.
04 / Visibility
Portfolio-level KPIs
A scoreboard per unit, rolled up to one view, so leadership can see what's working, what's stalled, and where to invest next.
Shared platformGovernanceReusable patternsOn-prem optionAudit trailsPortfolio KPIs

From scattered pilots to one platform, unit by unit.

Fixed scope, fixed price, governance built in from the start.
01Brief

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.

02Architect

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.

03Build

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.

04Measure

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.

How I build it.

The services behind the cross-enterprise work.
Service / 03
AI infrastructure
Local model deployment and hardware builds for organizations that need their data to stay inside their walls. Nothing leaves the perimeter.
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Service / 04
Compliance & governance
SOC 2 controls, HIPAA compliance, and deployments built for regulated industries — from day one, not bolted on later.
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Service / 01
Enterprise AI agents
Agentic workflows designed around your actual processes, not a demo — built, deployed, and tuned until they hold up in production.
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Service / 07
Enterprise workflows
Multi-system orchestration across Salesforce, ServiceNow, SAP, and your custom APIs — finally talking, with an audit trail.
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Service / 06
Decision intelligence
Analytics, dashboards, and predictive models that drive real decisions — built by someone who spent 15 years attaching dollars to outcomes.
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Service / 08
Digital transformation
End-to-end process modernization — not a rip-and-replace. Every change tied to a number, so you know it worked.
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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.

Let's talk

Markets served.

Remote-first across the United States and internationally — including these markets.

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

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