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For larger organizations

Enterprise AI, implemented properly.

Implementation, integration, governance, adoption and scale, for organizations where AI has to work across departments, systems and locations. For larger engagements, I work in collaboration with KPMG.

Scope

What an enterprise
engagement covers.

Five things have to hold at the same time for AI to work at enterprise scale. Every engagement is built around all five.

Implementation

From a validated opportunity to a working system inside your operation. Phased, measured, and built against your actual data and workflows.

Integration

AI connected to the systems already running the business: project management, ERP, document management, finance. Not another silo.

Governance

Policies, controls and accountability for how AI is used: who can use it, with which data, reviewed on a cadence. Defensible to a board, an auditor or a client.

Adoption

Tools only pay back when people use them. Training, workflow redesign and plain-language documentation so the change sticks.

Scale

From one workflow to many, across teams and locations, on architecture chosen to hold up as usage grows.

Where it starts

A working conversation about the initiative, then a scoped diagnostic if the engagement calls for one. No build commitment before the findings are on the table.

Larger engagements

Backed by KPMG when the initiative calls for it.

For larger engagements, I work in collaboration with KPMG. You get a senior independent practitioner who knows your operation and stays accountable for the outcome, backed by the depth and reach of a global firm.

The shape of the work stays the same as every other engagement here: find the opportunity, prove it small, build what works. The difference is the bench behind the build.

How an engagement starts

1. The initiative. A working conversation about what you are trying to change and why.

2. The diagnostic. Where the engagement calls for it, a scoped assessment: findings and a roadmap your leadership can decide against.

3. The plan. A phased implementation, each step scoped and approved before the next begins.

Common questions

Asked before you have to.

Who actually does the work?

I lead the engagement and stay accountable for the outcome. For larger engagements I work in collaboration with KPMG, so the team scales to what the initiative needs.

What does an enterprise AI engagement cover?

Implementation, integration, governance, adoption and scale. In practice that means systems connected to what you already run, controls your board can stand behind, and adoption work so the tools actually get used.

How does an enterprise initiative start?

With a working conversation about what you are trying to change and why. If there is a fit, the next step is a scoped diagnostic, not a commitment to a build.

Tell me what you are trying to change.

A working conversation about the initiative, and a straight read on whether and how I can help.

Ask a question first

Or call 250-258-4465, you get me, not a menu.