Knowing that AI matters is one thing. Knowing what to do on Monday morning is another.
This 90-day action plan gives executives a week-by-week roadmap for moving from AI awareness to AI action - without disrupting current operations or requiring a massive upfront investment.
Foundation & Assessment
Pilot & Learn
Evaluate & Plan
Foundation and Assessment
The first month is about building your AI literacy and assessing your organization's readiness.
- Week 1 Complete an AI fluency program to build your baseline knowledge. You need a working understanding of what AI can and cannot do before you make decisions about it.
- Week 2 Audit your organization's data assets. Where is your data, who owns it, how clean is it? Data quality determines whether AI creates value or amplifies problems.
- Week 3 Identify 5-10 potential AI use cases by interviewing department leaders about their biggest pain points. The best use cases almost always come from operations, not technology.
- Week 4 Evaluate your technology infrastructure and talent gaps. What do you have, what is missing, and what would an AI deployment actually require from your team?
By the end of month one, you should have a clear picture of where you are and where the highest-value opportunities lie.
Days 31-60Pilot and Learn
Month two is about controlled experimentation.
Select your top 2-3 use cases based on potential impact and feasibility. For each, define success metrics, assign a cross-functional team, and set a 30-day experiment timeline.
Use existing AI tools and platforms. Custom solutions come after you have validated the use case - building before validating is one of the most common and costly mistakes in enterprise AI.
Document everything: what works, what doesn't, what surprised you. Hold weekly check-ins with your pilot teams.
The goal is validated learning. Most organizations need 3-5 experiments before they find a use case worth scaling. That's intelligent iteration, not failure.
Evaluate and Plan
The final month is about synthesizing learnings and building your forward plan.
Evaluate pilot results against your success metrics. Identify which use cases are worth scaling and what infrastructure investments they require.
Draft your 12-month AI roadmap with clear milestones, budget requirements, and resource needs. Present your findings and plan to the executive team.
Create an AI steering committee to provide ongoing governance and strategic direction. AI isn't a project with an end date - it's a capability that compounds over time, and it needs ownership that reflects that.
What ninety days actually gives you
Ninety days won't transform your organization.
But ninety days of focused, disciplined action will give you the foundation, the evidence, and the momentum to lead an AI transformation with confidence.
The difference between organizations that succeed with AI and those that stall isn't access to better tools. It's the discipline to move in the right order - assess before experimenting, experiment before scaling, and always let evidence drive the next step.
Know where you stand before Day 1
Athena runs a structured 15-minute diagnostic that maps your organization's AI readiness - data, infrastructure, use cases, and talent. Start there to make your first 30 days sharper and faster. Or speak with Piero directly if you want a guided approach to your specific context.