/Operator
90-Day AI Rollout Plan For Marketing
A 90-day AI rollout plan for marketing teams that need ownership, measurement, review rhythm, and a pilot that can survive real work.
Short answer
A 90-day AI rollout plan should define one pilot, clear ownership, measurement, review cadence, and the decision rules for scaling or stopping.
The 90-day AI plan usually fails because it is written like a strategy deck.
It has ambition, themes, and workstreams. What it often lacks is the boring detail: owner, pilot scope, review rhythm, metric, and what happens when the first version is weak.
From my experience in agency and marketing work, boring detail is where trust comes from.
I have to admit, I used to enjoy the neat rollout slide more than the messy operating question underneath it. The slide was easier to defend. The question was where the plan usually lived or died.
Days 1-30: choose the pilot
Do not start with every possible use case. Start with one workflow.
The first 30 days should answer:
- What repeated workflow are we testing?
- Who owns it?
- Who approves the output?
- What data or context does it need?
- What risk would stop us?
- What metric tells us whether it helped?
Bad pilot:
Use AI to improve reporting.
Better pilot:
Use AI to prepare a budget-reallocation risk note for one paid media channel, with the performance lead approving any recommendation before the next pacing call.
Days 31-60: run the smallest useful version
This is where teams often get tempted to expand scope.
Do not add five channels, three clients, and a dashboard yet. Run the smallest version long enough to learn whether the workflow is actually useful.
Track:
- draft time
- factual corrections
- owner confidence
- approval changes
- stakeholder usefulness
The point is not to prove that AI is impressive. The point is to find whether the workflow makes the weekly pacing decision easier.
Days 61-90: decide what deserves scale
At the end, make one of three decisions:
- Scale because the pilot is useful and safe.
- Revise because the idea is good but the operating detail is weak.
- Stop because the workflow is not a good AI candidate.
Stopping is not failure. It is cheaper than scaling nonsense.
Where Prova fits
Prova’s rollout sprint asks for the artifact, not just the intention. The review checks whether the owner, scope, metric, review rhythm, and stop-or-scale rule are clear enough to run next week.
Generic AI can draft a rollout plan. The hard part is whether the plan is specific enough that your team can execute it next week without re-deciding everything.
That is the standard I would hold the plan to.
If your 90-day plan had to start with one boring operating detail, which one would you write down first?
Cheers, Chandler
