A CAIO without a cadence is a CAIO who reacts. The operating rhythm — weekly, monthly, quarterly — is what keeps AI work tied to outcomes instead of drifting into curiosity.
AI work drifts more than any other function because "the model isn't ready" is an infinitely defensible excuse to keep going. A cadence is the structure that makes the drift visible before it costs a quarter.
First Things: The Weekly
The week is the unit of execution. A CAIO's week has three fixed beats: a shipping review (what went to production), an eval review (what broke), and a scoping session (what's next, and whether it deserves to be). Without those three, the week is reactive.
- Shipping review: what reached production.
- Eval review: what regressed.
- Scoping: what's worth doing next, and what isn't.
The Monthly: Process Measurement
The month is the unit of measurement. Did the AI work move the metric it claimed it would? If the metric didn't move, the work didn't ship — regardless of what was deployed. This is the meeting that catches the demo-versus-production gap.
The Quarterly: Strategy and Portfolio
The quarter is the unit of strategy. Review the portfolio of AI bets: which to double down, which to kill, which to start. Killing is the test — a CAIO who can't kill a project is a CAIO who's running a petting zoo, not a portfolio.
The Anti-Cadence: The Status Call
The status call is the anti-cadence — it reports without deciding. Replace it with the three beats above, each of which ends in a decision: ship, fix, or kill. The cadence exists to produce decisions, not updates.
Conclusion
A CAIO's operating cadence is weekly shipping, monthly measurement, and quarterly portfolio. Each beat ends in a decision — ship, fix, or kill — and that's what keeps AI work tied to outcomes.
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 AI operating cadence is missing.
We'll tell you which beat is absent and what it's costing you. See the CAIO's first 90 days for how to stand it up.
Explore AI Strategy