Geeky Insights
AI Clarity Engagement · $15,000 Book a call
Geeky Insights

The AI Clarity Engagement

Someone handed you the AI question.
Now everyone is waiting for your answer.

An 8-week advisory for the senior leader who needs to get this right — and needs to be able to show their work.

Book a 30-minute call See how it works Full engagement · $15,000
Read the letter

Maybe it was your CEO in a quarterly review. Maybe it was a board member who read something on a flight. Maybe it was a client who asked what your organization is doing about AI — and you realized you didn't have a good answer.

However it happened, you're now the person responsible for figuring this out. And the honest truth is: nobody gave you a roadmap.

So you've done what smart people do. You've read the articles. You've sat through the vendor demos. You've bookmarked the newsletters. You've had the internal conversations. And you still don't have what you actually need — a clear, defensible answer to the question that keeps coming up:

What should we actually do about AI — and what are we risking if we get it wrong?

That's not a failure of effort. That's a failure of signal. And it's not your fault.

The problem with most AI advice

It comes from two kinds of people.

The Vendor

Someone with a product to sell.

They will tell you exactly how much you need it. The recommendation was written before they ever looked at your organization.

The Consultant

Someone who read the same articles.

They repackaged them into a framework, and are now charging you to hear them back.

Neither of them has actually built the systems. Neither has been inside an enterprise AI pipeline watching it fail. Neither has sat across from a leadership team at a Fortune 100 company and had to explain why the model did what it did.

That gap — between the people making AI decisions and the people who actually understand what's happening inside those systems — is exactly what gets organizations into trouble.

The risk isn't that you move too slowly.
It's that you move without understanding what you're walking into.

12+ years inside Christina Bernard
Christina Bernard · Founder, Geeky Insights

Who's writing to you

My name is Christina Bernard.

I'm an AI strategist and data scientist, and for the past 12 years I've been on the inside of the systems you're now being asked to have an opinion on.

Lead Data Scientist at Deloitte. Data Science Consultant at phData. Founder of Geeky Insights. And for the last seven years I've been doing something most technical people don't bother with: translating what I know into language that executives can actually use to make decisions.

I built this engagement because I kept seeing the same thing. Smart, capable senior leaders — people exactly like you — getting handed the AI question with no real support. Drowning in noise. Making expensive decisions based on vendor decks. Or worse, doing nothing because nothing felt certain enough.

You deserve better than that. Your organization deserves better than that.

50%
cut in operational runtime on Fortune 100 ML pipelines
$70K
saved redesigning development workflows
+32%
growth in customer engagement
5–8
cross-functional teams led across telecom, healthcare & consumer

Introducing

The AI Clarity Engagement

An 8-week advisory built around your organization specifically — your workflows, your people, your exposure, your industry.

Not a course Not a workshop Not a vendor demo dressed up as consulting
00

Before we start — the diagnostic

I review your tools, your data flows, your client relationships, and your regulatory environment. Not to audit you — to make sure everything we cover is actually relevant to your situation and nothing we do together is wasted time.

Seven sessions · over 8 weeks

1

AI landscape + accountability gaps

A curated map of the AI tools relevant to your industry. What's real, what's hype, what's worth your budget — and where the liability sits when AI gets it wrong in your sector.

2

Data exposure + AI in existing decisions

What your data flows actually look like, where the risk lives, and where AI is already influencing outcomes your organization thinks are human-made.

3

Team member interviews — round 1

Conversations with the people actually doing the work. What tools are they already using? What workarounds have they quietly built? What are they afraid to tell leadership?

4

Team member interviews — round 2

Deeper follow-through on what emerged in round 1. Patterns get surfaced, gaps get named, and the real picture of your organization's AI reality comes into focus.

5

Governance before legislation

What internal governance looks like before regulators force it on you — and why the organizations building this now will have a significant advantage over the ones who wait.

6

Strategy + roadmap

Everything pulled together into your 90-day roadmap and AI Readiness Briefing — a plain-English document stating where you're exposed, where you're behind, and your three highest-priority moves. Something you can put in front of your board without translating it first.

7

Follow-up review

A dedicated session after you've had time to sit with the plan. Review progress, pressure-test priorities, answer the questions that have come up since the briefing.

Throughout all 8 weeks, you have direct access to me. Because the real decisions don't happen in scheduled calls — they happen when someone forwards you an alarming article at 9pm and asks "should we be worried about this?"

You'll have an answer.

Everything included

  • Pre-engagement diagnostic
    Tools, data flows, regulatory environment reviewed before session one.
  • 7 working sessions over 8 weeks
    Structured, specific, built around your organization.
  • Team member interviews
    Two dedicated sessions with the people doing the actual work.
  • Async direct access throughout
    For the questions that can't wait for the next session.
  • 90-day roadmap
    Organization-specific, not a generic framework.
  • AI Readiness Briefing
    Plain-English, board-ready, yours to keep.
  • Follow-up review session
    To pressure-test priorities before you commit to them.
The full engagement
$15,000

Full 8-week engagement. Claim your spot with a 50% deposit — the balance is due after your second session.

Only 5 spots a month
Pay deposit · $7,500 Book a 30-minute call first
50% now · 50% after session two

The guarantee

If you don't find the first two sessions genuinely useful — a clearer picture of your industry's AI landscape, your real exposure, and where the gaps are — I'll refund your investment in full. No questions asked.

What it costs if you don't

Let's talk about what this actually costs you if you don't do it.

Not in abstract risk. In real numbers you already know.

3–6 months

A senior leader researching, attending demos, and trying to synthesize AI noise into a strategy. That's your most expensive person doing work they're not equipped to do — instead of the job you hired them for.

$30K–$50K

The average organization trials 4–6 AI tools before finding ones that fit. At $500–$2,000 per tool per month, plus internal evaluation time, a disorganized exploration runs this much before you have anything to show for it.

$15,000 is not an expense. It's what you spend to stop spending on the wrong things.

I already know what you're thinking

IT teams are focused on systems, not accountability gaps or governance. Strategy teams are working from the same incomplete public information you are. Neither has 12+ years of cross-industry implementation experience — or seven years of translating that into decisions executives can act on. If your internal team could answer this question, you'd already have the answer.

I understand. And I'd ask you to run the number on what you're already spending — in your senior leader's time, in tool trials that haven't landed, in the opportunity cost of moving without a clear direction. That bill is already running. This is how you stop it.

The organizations that said this 12 months ago are the ones now scrambling to catch up. There is no moment when this becomes easier or less urgent. The question is whether you get ahead of it or get dragged along by it.

Only 5 engagements a month

Book a 30-minute call.

Leave knowing whether this is right for you.

No pitchNo deckNo pressure

We'll look at your situation together — and by the end of the call, you'll know exactly what this engagement would mean for your organization. So will I. If it's not the right fit, I'll tell you that too — and point you toward what is.

Ready now? A 50% deposit claims one of this month's five spots.

Christina Bernard

Looking forward to talking,

Christina Bernard

AI Strategist · Data Scientist · Founder, Geeky Insights

Pick a time that works

Book your 30-minute call.