For CEOs and founders

Every report is accurate. What they add up to usually isn't.

You already have a sponsor, a budget and a report for every AI and data initiative running right now. Nothing is hidden.

What's rarely checked is whether your own leadership team is reading those numbers the same way, and whether what you're building is becoming more valuable or just cheaper to keep alive.

The Baseline Package

Before the board asks, do you know your own baseline?

The pattern is common: ambition and spend run ahead of measured impact, because the before number was never set.

The formula isn't the problem. Every ROI method needs a real before number: cost displaced, capacity released, a decision actually made differently. Most companies never measured it.

Run these three checks once, as a sequence, before the next board update. Together they give you the starting point every initiative on your list is quietly missing.

Complete the sequence once, in about a week. Keep the three readings beside the board update. That is The Baseline Package.

One engagement, measured

€930,000 a year was sitting outside the reported budget.

A 120-person company's board reporting showed a manageable data and technology line. It didn't show the business hours, unused stack and preventable errors riding along with the same work, invisible until someone actually measured it.

€611,000

was stoppable: business hours, unused tooling and preventable errors.

€319,000

was redirectable capacity aimed at work with no decision attached.

3 weeks

to measure it, using the client's payroll rates and cloud bills.

One anonymized engagement. The arithmetic and full breakdown are published on this site.

See the full cost breakdown

A confidence gap that rarely reaches the board

42% of AI purchasing decisions sit with one executive, not a governance body.

Most of those same leaders say they're confident they'd pass a compliance audit today. Far fewer say their governance program is actually mature enough to back that up. The confidence gap between functions reporting to the same CEO runs wider than most boards realize: workforce-readiness confidence lands at 39% from CIO and CTO versus 7% from COO, and governance-audit confidence at 47% from CIO and CTO versus 30% from CFO.

Sources: Schellman's 2026 State of AI Governance and Grant Thornton's 2026 AI Impact Survey.

Open the Data Decision Tree

Start with the decision

Which decision is on your desk?

01

My leadership team might not agree on where we actually stand.

Compare what your CIO, COO and CFO would each say about AI readiness and governance maturity today. The gap usually isn't hostility, it's that nobody's compared notes.

02

I don't know if what we're building is becoming more valuable, or just costing less to run.

Most board conversations about data still sound like a cost review. This is the other question: is it compounding, or just being kept alive.

03

We keep funding initiatives and I can't point to what's actually changed.

Set one cost and capacity baseline the leadership team can use before the next board update.

04

I'm managing a growing list of AI and data initiatives with no clean way to see what's working.

Move from 'do we even know what's true' to the one first check that fits the initiative on your desk.

Keep the map

Get the CEO decision guide.

Four situations leadership teams actually run into. The right first check for each. One email you can bring to the next board conversation.

One useful email, not a sequence. Your note also reaches Lior. See the Privacy Policy.