Question 1

What does an AI implementation consultant actually do?

Accepted Answer

Strategy decks tell you what AI could do. An implementation consultant builds it: finds the highest-payoff workflow in your business, builds the custom GPT or agent inside your own systems, trains your team until they run it without help, and puts numbers on the result. Trevor's practice covers audits, builds, training, and fractional AI leadership for mid-size companies.

Question 2

Why does the work happen inside our systems instead of being delivered to us?

Accepted Answer

Because agents are rooted in your files. A build made on someone else's computer breaks its links the day it's moved into yours, and then someone has to rewire everything. Building natively in your environment, inside your security, is the difference between a demo and a tool your team uses every day.

Question 3

We already pay for ChatGPT, Claude, or Gemini. Why isn't that enough?

Accepted Answer

The subscription is not the strategy. The gap is knowing what to ask, framing it correctly, feeding the right context, and checking the output. Most teams use frontier AI at recipe level. The wins live in questions like: audit these 100 leases against the accounting system, or find the high-intent leads my sales team missed.

Question 4

Can't my assistant just do this? I already have instructions written up.

Accepted Answer

You might, and it still won't happen. Trevor has watched founders sit on 25 pages of intake instructions written at a fifth-grade reading level. The block is not ability; it's hesitancy: nobody is sure it will work, and nobody is checking whether it did. An operator who has built these systems removes both blockers in one engagement.

Question 5

Is our data safe?

Accepted Answer

Builds happen inside your environment and your security perimeter, under your accounts and permissions. Trevor works within the controls you already trust, and data handling gets agreed in writing before any build starts. No client data is moved onto outside systems to make a build convenient.

Question 6

How long does an engagement take?

Accepted Answer

A whiteboard session is half a day. An opportunity audit runs one to two weeks. A first custom build typically lands inside a month, because the front-loaded work, gathering documents, writing instructions, refining outputs, is the real work. Fractional leadership is a monthly retainer with quarterly goals.

Question 7

What does it cost?

Accepted Answer

Whiteboard sessions are a flat fee, credited toward any build. Audits and builds are quoted after the whiteboard session, when the scope is real instead of guessed. Fractional AI leadership is a monthly retainer. If the plan Trevor sketches isn't worth multiples of the fee, he'll tell you in the room.

Question 8

What size company is this for?

Accepted Answer

The sweet spot is mid-size companies: enough people and process for AI to pay off fast, small enough to move without a committee. Trevor scaled AI across a 400-employee, 13,000-unit operation; he also builds for professional practices where three people share one bottleneck.

Question 9

Does this work with EOS?

Accepted Answer

Yes, and better than most. Trevor implemented EOS as an operator and ran his seat through a doubling of the company. AI workflows land as rocks, get tracked as measurables, and report clean in your L10. If you don't run EOS, the same discipline shows up as KPIs and a scorecard.

Question 10

Do you do keynotes or workshops?

Accepted Answer

Yes. Talks and hands-on executive workshops on practical AI for entrepreneurs, including the frames from the blog: act as a, context and urgency, and never taking the first answer. Ask about availability through the contact page.

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