Your company does not need more AI. It needs to know what to do with it.
Most companies already have some combination of Microsoft Copilot, ChatGPT, pilots, licenses, employee experiments, vendor pitches, and leadership pressure to move faster.
What they often do not have is one clear answer: What should AI actually change here?
I help leadership teams answer that question and turn the answer into a structured rollout.
The AI Operating Audit
I do not arrive as undefined extra capacity and spend six months discovering the assignment. I lead the company through a defined process that begins with the business and ends with clear decisions, priorities, ownership, and a practical rollout plan.
Audit the business
I review the company’s priorities, operating model, workflows, systems, existing AI investments, workforce needs, risks, and current sources of friction. The goal is not to collect everything. The goal is to find what matters.
Workflows + systems
AI investments + risk
Workforce needs + friction
Find the work worth changing
We identify what should be stopped, simplified, standardized, redesigned, automated, AI-enabled, or deliberately kept human. A broken process does not become a good process because AI was added to it.
Stopped or simplified
Standardized or redesigned
Automated or AI-enabled
Deliberately kept human
Choose the right AI
I determine what the company’s existing platforms can already support, where Microsoft Copilot fits, where another tool may be stronger, and where purchasing anything else would only create more duplication. The recommendation follows the work. Not the vendor.
Existing platform capability
Microsoft Copilot fit
Alternative tool direction
Build, buy, or partner
Design the rollout
I create the operating plan required to move from scattered experimentation to consistent use.
Priority use cases + workflows
Ownership + governance
Enablement + communications
Measures + rollout sequence
Prove the value
Opening the tool is not the business outcome. We define what should improve and how it will be measured.
Time + capacity created
Cycle time + work quality
Adoption + customer experience
Cost, revenue, and risk
One clear operating blueprint.
Not another pile of AI ideas. The engagement concludes with an executive AI opportunity assessment, prioritized use-case portfolio, workflow redesign recommendations, tool and platform direction, build-buy-partner decisions, a governance and ownership model, a workforce adoption plan, measures of business value, and a practical 90-day rollout roadmap.
The company has three clear options.
No unlimited access. No endless discovery. No becoming the person who inherits every AI-related problem in the company.
Take it internal
- Your team uses the blueprint
- Internal leaders own the rollout
- Clear priorities and measures remain in place
Guided rollout
- Defined advisory cadence
- Support for the internal leader
- Decisions stay tied to the operating blueprint
Defined transformation
- Specifically scoped rollout
- Named owners and departments
- Clear deliverables and an agreed end
I do not automate the mess.
I find the work worth changing, remove what does not belong, and design the better operating model around what remains. AI is not the strategy. A better business is.
Discuss an AI Operating Audit →