Andrea Dailey · Building Empires

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 starting point

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.

01

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.

The work

Priorities + operating model

The work

Workflows + systems

The work

AI investments + risk

The work

Workforce needs + friction

02

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.

The work

Stopped or simplified

The work

Standardized or redesigned

The work

Automated or AI-enabled

The work

Deliberately kept human

03

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.

The work

Existing platform capability

The work

Microsoft Copilot fit

The work

Alternative tool direction

The work

Build, buy, or partner

04

Design the rollout

I create the operating plan required to move from scattered experimentation to consistent use.

The work

Priority use cases + workflows

The work

Ownership + governance

The work

Enablement + communications

The work

Measures + rollout sequence

05

Prove the value

Opening the tool is not the business outcome. We define what should improve and how it will be measured.

The work

Time + capacity created

The work

Cycle time + work quality

The work

Adoption + customer experience

The work

Cost, revenue, and risk

What you receive

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.

What happens next

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.

01

Take it internal

  • Your team uses the blueprint
  • Internal leaders own the rollout
  • Clear priorities and measures remain in place
02

Guided rollout

  • Defined advisory cadence
  • Support for the internal leader
  • Decisions stay tied to the operating blueprint
03

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 →