First 90 Days. 3 Decisions.

Get them right and everything compounds.

There’s a particular kind of pressure that comes with building a new function inside an established company. The mandate is clear. Leadership is supportive. The opportunity is real. What’s less clear is where to start — and how to make sure the first moves build momentum rather than just activity.

We’ve been in this seat. Here are the three decisions that, in our experience, determine whether a transformation program gets real traction or spends its first year catching up with itself.

1. Sequence for compounding, not just for speed

The first project your function delivers sets the tempo for everything that follows — what resources get allocated, which stakeholders lead in, and what the org believes this function is capable of. That’s a different question than “what can we ship quickly?”

The right first project is where a real business problem meets available data and genuine stakeholder appetite. When those three things align, the first win opens doors that make every subsequent move easier to land.

2. Bring people with you — not just alongside you

The most underestimated variable in any transformation is the people who need to change how they work. We’ve written about why most AI pilots fail before they start — and it’s rarely the technology. The primary culprits are normally misalignment and unclear objectives.

The difference between a program that sticks and one that stalls is almost never the technology. It’s whether the people closest to the work believe in what’s being built — and whether they were part of shaping it.

Transformation isn’t something you do to an organization. It’s something you build with one.

3. Know how you’ll respond when the data isn’t ready

It never is. Every program encounters data that’s messier than expected — siloed, inconsistently structured, or harder to access than anyone anticipated. How a function responds to that moment says a great deal about how it will operate going forward.

The better move is to treat the data gap as information in itself. A rigorous diagnosis of why the data isn’t ready is a legitimate deliverable — one that tells leadership something true about the organization’s current state and builds the case for the infrastructure the next phase requires.

No shortcuts. That applies to the data too.

MindFrame Partners works with leadership teams to plan and accelerate AI transformation — from the first strategic bet through to execution. If any of this resonates, get in touch: info@mindframe-partners.com