The offer

The AI Value Diagnostic.
Two weeks. $3,500. Six artifacts.

A fixed-scope read on what your AI actually costs, what it returns, and who owns it — delivered before you commit to anything larger.

Why this exists

Nobody can answer the question, because nobody owns it.

Ask three people in most organizations what the AI spend returned and you get three different answers, none of them evidenced. The tools arrived through a dozen doors — a corporate card here, a bundled vendor feature there, a pilot that quietly became production. Finance sees the invoices. Engineering sees the systems. Nobody sees both.

That's not a governance failure. It's a measurement failure, and it's fixable in two weeks — which is roughly how long it takes to inventory what's running, score what it returns, and put a name next to each one. The hard part isn't the analysis. It's that no one inside the organization has both the mandate and the neutrality to do it.

What you get

Six artifacts, delivered in editable form.

$3,500
Two weeks. Fixed fee, fixed scope.
50% to reserve the window, 50% on delivery of the readout.
About five hours of your team's time.
No production access required.
  • AI spend & tool inventory — every seat, license and bundled vendor feature, with cost and named owner.
  • Shadow AI exposure map — the unapproved tools in use and what data is going into them.
  • Workflow value scorecard — measurable savings separated from asserted ones.
  • Keep / expand / kill list — three workflows with the arithmetic shown.
  • Accountability structure — who owns the AI stack, reviewed on what cadence.
  • 30 / 60 / 90 action plan — sequenced and owner-assigned.
Start the Diagnostic → I'll reply with three dates and a one-page scope.
Week 1 · Inventory

Kickoff with you and IT, a document request, and four to six 30-minute interviews with department leads. Draft inventory back by day 5.

Week 2 · Evidence

Workflow scoring against measured time and cost, shadow AI mapping, and vendor terms checked for training and retention language.

Day 10 · Decision

A 60-minute executive readout, keep/expand/kill decisions made in the room, and every artifact delivered in editable form.

Most AI engagements in this market start around $25,000 and run twelve weeks before you learn anything.

Find out what you actually need for $3,500 first. If the answer is a large build, you'll walk into that conversation knowing which three workflows justify it. If the answer is that you don't need one, that's the cheapest $3,500 you'll spend this year.

Scope

What's in, and what isn't.

In scope

  • Every AI tool, seat and bundled feature you're paying for
  • Unapproved tools already in use, and what data they touch
  • Workflow-level value scoring against measured time and cost
  • Vendor terms — training rights, retention, exit conditions
  • Ownership mapping: spend, outcome, and failure
  • A sequenced 30/60/90 plan with names attached

Not in scope

  • Implementation, integration, or writing code
  • Access to production systems or credentials
  • Software for you to purchase
  • Model selection or vendor negotiation on your behalf
  • A compliance certification or formal audit opinion
  • Anything larger — we stop and re-quote first
Who this is for

Infrastructure leaders carrying the AI question alone.

  • CIOs & VPs of Infrastructure — accountable for AI they didn't fully choose
  • Mid-market & enterprise — real cost pressure, real scale, real stakes
  • Regulated institutions — where "who is accountable for this model's output" is an examiner question
  • Operators — leaders who want someone who's run the floor, not just read the report
How an engagement works

Four steps, no surprises.

STEP 01

A call

Thirty minutes. What's on your desk, who's asking, and whether this is even the right work. No deck.

STEP 02

A one-page scope

Three candidate start dates and the fixed fee in writing before anything begins.

STEP 03

Two weeks

Interviews, evidence, scoring. About five hours of your team's time in total.

STEP 04

The readout

Sixty minutes with your leadership. Decisions made in the room. Every artifact delivered editable.

If the Diagnostic concludes that you don't need further help, it will say so in writing.

I'd rather lose the follow-on engagement than sell you one you don't need. An advisor who can't tell you "no" isn't giving you a read — they're giving you a quote.

Before you reach out

The questions people actually ask.

What does the Diagnostic cost, and what happens after?

The AI Value Diagnostic is $3,500, fixed fee and fixed scope, delivered in two weeks. Half reserves the window, half on delivery of the readout. There is no hourly billing and no change order.

Afterward there may be nothing. The Diagnostic is designed to stand alone — you get the inventory, the scorecard, the keep/expand/kill list and the 30/60/90 plan, and your team can execute all of it without me. If you want help with what comes next, we scope that separately.

How are you different from a consulting firm?

I've run the infrastructure, not just studied it. Ten-plus years in hyperscale operations at AWS and Meta — deployment, power, capacity, and the AI/GPU buildout as it actually happened, including the parts that went badly.

Practically: a firm sends you a framework and a team of analysts. You get me, and answers grounded in having made these decisions with real consequences attached.

How are you different from the firms that build AI systems?

They get paid when the answer is "yes, build it." I don't.

An implementation firm is often the right call — there are good ones in this market and I'll say so. But you cannot get an independent read on whether your AI spend is working from the company that gets paid to sell you more of it. I'm the second opinion before a six-figure signature, and I have no product on the other side of the recommendation.

Are you independent, really?

Yes. No vendor referral fees, no reseller relationships, no partner commissions. I have no financial interest in which platform you choose.

That's the entire point. If I made money on the recommendation, the recommendation would be worth nothing.

We already have a governance policy. Do we need this?

Maybe not. Here's the test: can your current policy tell you, today, how many AI systems are running in your organization and who is accountable for each one?

If yes, you're ahead of most. If the honest answer is "roughly," that gap is exactly what this work closes.

Is this only for large enterprises?

No, but it is for organizations with real scale, real spend, and real consequences. If AI is a line item somebody is now being asked to defend, the work applies.

If you're still experimenting and nobody's asking hard questions yet, save your money and call me when they start.

Do you only work with companies in Charlotte?

No. I'm based in Charlotte and I'll come to you if you're in the region — the interviews go better in a room. But the Diagnostic was built to run remotely and most engagements do.

Location changes the logistics. It doesn't change the work or the price.

Do you need access to our production systems?

No. The Diagnostic runs on interviews, spend exports, and vendor documentation you already have. No credentials, no software to install, no agents deployed in your environment.

Total ask on your side is roughly five hours across two weeks.

What can't you talk about?

Anything proprietary to a former employer — internal metrics, timelines, vendor terms, or non-public strategy. Those obligations are permanent and I hold them without exception.

Industry dynamics and general practice are open ground, and that's where the value is anyway. Someone who'd break confidence for a prior employer would break it for you.

Let's talk

Two weeks from now you could have the answer.

Tell me what's on your desk. If there's a fit I'll send three dates and a one-page scope. If there isn't, I'll tell you that instead.