BlogLeadership
Leadership4 min read· April 15, 2026

The CAIO's First 90 Days

Carolina Fogliato

Published April 15, 2026

The first 90 days of a CAIO set whether the role becomes a leadership function or a science fair. Here's the sequence that wins.

The first 90 days of a CAIO decide whether the role becomes a leadership function or a science fair. The sequence matters: listen, ship one thing, set the cadence — in that order.

A new CAIO who ships on day one without listening builds the wrong thing. A new CAIO who listens for 90 days and ships nothing loses the mandate. The 90-day sequence is the balance.

First Things: Days 1-30, Listen and Scope

Begin with the end in mind: what does the board actually want, and what's the one workflow that would change their answer? The first 30 days are interviews, not builds — with the board, with the operators, with the people who'll own whatever ships.

  • Interview the board on the AI question they actually ask.
  • Find the one workflow worth shipping first.
  • Name the owner before you build.

Days 31-60, Ship One Real Use Case

Ship one real AI use case in production in 4-8 weeks — not a pilot, not a deck. The first ship is the credibility that funds the rest of the role. Pick the workflow that's visible to the board and survivable if it's imperfect.

Days 61-90, Set the Cadence

With one ship in production, stand up the operating cadence — weekly shipping, monthly measurement, quarterly portfolio. The cadence is what makes the role durable beyond the first 90 days of personal energy.

The Plan That Makes It Stick

The launch plan: the 90 days end with one shipped use case, a named owner, a running eval, and a cadence on the calendar. Without those four, the role is a person; with them, it's a function that survives the person.

Conclusion

The CAIO's first 90 days are listen, ship one real use case, set the cadence — in that order. The sequence ends with the role as a function, not a person, and that's what makes it survive.

About FACTA

FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.

We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.

Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:

AI leadership that builds. Not just advises.

Ask us what your CAIO's first 90 days should ship.

We'll scope the one workflow and the cadence that makes the role stick. See the CAIO operating cadence for the rhythm after day 90.

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