AI 101 for CEOs | How CEOs Should Be Using GPT
Leadership
Vision & Strategy
We’ve been working with a CEO who’s wrestling with a deceptively simple problem:
How do we evolve pricing to reduce friction, attract more buyers — without breaking revenue stability?
On the surface, it sounds tactical.
Tweak the numbers. Add a payment option. Move on.
But under the hood, it’s a high-leverage, high-risk decision — one that ripples across the entire business:
- Revenue predictability: What happens to cash flow? Forecasting? Risk?
- Buyer psychology: Will this shift trigger urgency — or hesitation?
- Market positioning: Are we signaling accessibility… or devaluing the offer?
- Partner incentives: Do channel partners gain or lose motivation?
- Operational risk: Can our systems even handle this cleanly?
And that’s just the first layer.
Because every pricing decision sends a signal. It teaches your customers how to think about your value. It shapes how your team sells, how your competitors respond, and how your cash flows.
These are the kinds of choices that look small—until you get them wrong.
This Is Where Most Leaders Use AI Poorly
Faced with decisions like this, many CEOs reach for the same tool they use when writing marketing copy or drafting a job description:
“Hey GPT, what’s the best pricing model for SaaS?”
“Summarize industry benchmarks.”
“Give me 5 ideas to reduce friction.”
“How can I make more people buy my product?”
And sure, it spits out something fast. That’s not leadership. That’s outsourcing your judgment to a machine that doesn’t know your business, your customers, or your context.
AI can simulate competence. It can’t simulate wisdom.
When the stakes are high and the decisions are complex, speed is not the point.
Depth is.
This is where most leaders get AI dead wrong.
They treat it like an “answer machine” instead of what it could be — a high-powered, pattern-spotting thinking partner that helps them pressure test ideas and sharpen their own insight.
The Better Move: Using GPT To Strengthen Your Decision Process
When we worked through this pricing decision, I didn’t ask GPT for an answer.
I brought in Quinn — my AI intern, trained for exactly this kind of thinking — and gave it a clear role:
Act as a strategic thought partner.
Not a copywriter. Not a shortcut. A coach.
Frame GPT as a Leadership Coach
I told Quinn:
“You’re acting as both business coach and fractional CRO. Your job is to help me explore the trade-offs, risks, and downstream implications of different pricing models.”
One prompt — total shift in value. It moved the interaction from “give me an answer” to “help me think better.”
Pro tip: The best prompts start by assigning GPT a role that mirrors real-world expertise — coach, CFO, strategist, etc. This orients the model toward better framing, not just surface-level output.
Feed GPT the Full Strategic Context
Most people toss GPT a half-baked question and get a half-baked answer. We didn’t. We loaded it up with everything:
- Current pricing structure
- Buyer behavior patterns
- Where the friction shows up (especially with cold leads)
- How partner sales work
- The psychology we’re seeing from prospects
- Retention rates
- Our core growth model
Not just numbers — nuance. Because context always beats instructions.
Here’s the trick: Treat GPT like a senior hire on your team. If you wouldn’t ask your CFO to advise on pricing without showing them the data and the funnel dynamics, don’t expect GPT to help without that same context.
Instead of:
“What’s the best pricing model?”
Try:
“Given our current pricing model [insert details], our cold leads are dropping off at [X stage], and our partner network is structured like [X]… Help me weigh the pros and cons of these two pricing models [A and B] in terms of revenue stability, partner engagement, and operational risk.”
This is where GPT stops being generic — and starts being useful.
Explore The Options, Then Pressure Test Them
We had Quinn surface the two competing pricing experiments:
- Option A: Lower-friction monthly payments with 12-month commitment.
- Option B: True month-to-month, no commitment — at a significant price premium.
Neither was obviously better. Both had merit. Both hit different parts of the funnel.
And this is where GPT starts to shine.
Not by giving you the “right answer.”
But by helping you think through the second- and third-order consequences — the stuff most leaders don’t get to until it’s too late.
With GPT’s help, we ran the pricing models through a gauntlet of hard questions:
- How would buyer psychology shift between SaaS-style ease and the higher-trust world of compliance services?
- Would we be trading long-term revenue stability for a short-term bump in lead flow?
- What’s the actual churn risk — and how much margin do we have to absorb it?
- How much operational complexity are we introducing, and can our systems (and team) handle it?
- Would our partners care? Would they lean into one option over the other?
- How does one price option reframe the value of the other — and what message does that send?
Every decision had ripple effects.
Every option carried unintended consequences.
GPT’s job wasn’t to decide for us. It was to surface those consequences before they surfaced us.
Create a Leadership-Level Conversation
At the end of the day, we had to make real decisions. Not just about pricing — about how the business works.
- Are we more SaaS or more expert services?
- What kind of revenue model tells the truth about our value?
- How much volatility can we live with to open the funnel wider?
- Can our ops team realistically support both models?
- Will our partners lean in… or check out?
Those aren’t AI questions. They’re leadership ones.
And here’s where GPT actually shines — not by giving answers, but by helping you ask better questions.
It made the leadership team sharper.
Faster.
More grounded in reality.
This is the real use case for AI at the executive level.
Most of what you hear is about doing more, faster.
This is about deciding better — with more clarity, more confidence, and fewer blind spots.
When CEOs use GPT this way:
- Trade-offs come into focus
- Complex decisions become structured
- Revenue conversations get sharper
- And the whole leadership team levels up
You Might Also Like
If this got your wheels turning, here are two more reads worth checking out:
The Bottom Line
GPT isn’t here to replace executive judgment.
It’s here to help you sharpen it.
Used well, it’s not a shortcut — it’s a spotlight.
It helps you see the angles, pressure test the risks, and level up the quality of your thinking.
If you’re a CEO navigating real complexity — pricing shifts, growth strategies, people decisions — and you’re not using GPT this way?
You’re leaving some of your best thinking on the table.
And chances are… your competitors aren’t.
