Chapter 06 · Phase 3 of 8

Executive Buy-In & Business Case

The CEO doesn't need to be sold on AI. They need to be sold on your specific plan. Frame it as outcomes — time, money, risk, talent — not features.

1 · Assess 2 · Charter AI COEE 3 · Buy-in 4 · Pilot 5 · Deploy 6 · Train 7 · Govern 8 · Scale

Kristina Tsys didn't ask Fortive leadership for a tool. She asked them for outcomes. Time saved. Efficiency improved. Better hiring decisions. The tool came after.

My point was not just to bring the tool and to tell you we will do this and this — but also about the benefits we'll get from this, how much time we'll save and how much the efficiency will go up. Maybe we'll need to dedicate some time to learn about AI tools, but then down the road it'll save us so much time, it'll make us more strategic, and the outcome will be better hiring decisions.

Kristina Tsys · Technical & Engineering Recruiter, Fortive Listen →

This is the universal frame. You bring a hypothesis. You define the problems. You quantify the potential impact. You don't need perfect data — you need a compelling case that better is possible. Then you ask for the runway to prove it.

The four-slide business case

Keep it short. CEOs don't read 40-slide decks anymore — and shouldn't have to. Four slides that the AI COEE can present in 20 minutes.

Slide 1 — The cost of the status quo

Pull from your Phase 1 baseline. What is the current cost-per-hire? Current time-to-fill? Hours per requisition? Recruiter capacity? Compare to industry benchmarks (SHRM's data is the standard reference). Make the gap visible. If your cost-per-hire is $4,700 and the industry median is $3,500, the delta is the budget for the AI COEE.

Slide 2 — The opportunity, quantified

Three numbers: hours saved per recruiter per week (from comparable case studies — Patrick Lindsley's data is a useful benchmark — 2–3 hours up to 10), cost-per-hire reduction (15–25% is realistic at maturity), and risk avoidance (the EU AI Act penalties are 4x GDPR, which is itself a real line item for global employers).

I just took you from $800,000 in spend to $40,000 in spend.

Brian Fink · Managing Partner, The Rework Group Listen →

Brian Fink's stackless framing is a useful provocation for any CEO conversation. You don't have to commit to ripping out your entire HR tech stack — but the question "what could we consolidate?" almost always surfaces six-figure savings. That number lives on Slide 2.

Slide 3 — The plan (one image)

The eight-phase roadmap on one slide. With the AI COEE at the center. You're not asking for a blank check — you're asking for sponsorship of a structured program with measurable milestones.

Slide 4 — The ask

Be specific. Three things:

Budget — Year 1 budget broken down across tooling, training, compliance, and one-time costs. A realistic Year 1 number for a 200–500 recruiter org is in the $200K–$600K range, with $50K–$150K of that as one-time implementation.
Headcount — the AI COEE Lead seat. (And confirm the part-time commitments from CHRO, CTO, Head of TA, Legal.)
Air cover — public CEO sponsorship of the AI COEE, written into the annual operating plan, with the CEO referencing it in all-hands communications.

The objections you'll hear

Three objections show up in every executive review. Have answers ready.

"Aren't we already doing this?"

Probably not. Your Phase 1 audit will show that AI tools are being adopted ad-hoc, that bias audits aren't happening systematically, and that governance is split across three or four functions. Bring the data. The objection collapses.

"This sounds expensive — what's the ROI?"

The simplest answer: cost-per-hire reduction alone usually covers the AI COEE budget. For a 1,000-hire-per-year org, a 15% reduction in cost-per-hire from $4,500 baseline is $675K — more than the AI COEE Year 1 cost in most cases. Compliance risk avoidance is a separate line. And recruiter capacity unlocked is the third.

"Why a new team — can't HR or IT just own this?"

Because both have tried, and the data says it didn't work. AI rollouts owned by HR alone tend to lack technical depth and integration discipline. AI rollouts owned by IT alone tend to deploy tools that frontline users won't adopt. The AI COEE is the construct that holds both accountable to a single outcome.

From Jonathan's Playbook

How I framed it at the enterprise scale

When I was building conversational AI for major financial services and healthcare environments, the most powerful frame I found was risk-adjusted ROI. Yes, there are productivity gains. Yes, there are cost takedowns. But there's also regulatory exposure — and the cost of not deploying AI governance is now greater than the cost of deploying it. CFOs and General Counsels respond to that frame. Use it.

What "yes" looks like

A successful Phase 3 ends with three things in writing:

An approved budget and headcount
The AI COEE charter signed by the CEO
A scheduled all-hands or company-wide communication where the CEO publicly launches the program

That last item matters more than the first two. The all-hands message — even a 2-minute mention in a regular CEO update — converts the AI COEE from an internal initiative into an organizational priority. Make it part of the ask.

With executive sponsorship locked in, the AI COEE moves from planning to action. Phase 4 is where the first deployment happens — and where you learn whether the framework holds up under contact with reality.