How To: Ai Project Prioritization

Prioritizing Ai projects? You’re not alone.

Nearly every team we work with is grappling with the same challenge:

How do we sift through dozens of Ai ideas to focus on the ones that will actually move the needle?

Here’s what’s making that hard:
- Urgency. The pressure to move fast is real—and often valid. Nobody wants to fall behind.
- Politics. Every team thinks their initiative is the priority. And for them, it probably is. Navigating that takes clarity and diplomacy.
- Resources. Time, budget, and bandwidth are limited. You’ve got to make it count - fast.


So what’s working?

✅ Define clear criteria.
Make it transparent and objective. Use a simple 3-part approach like:
- Business Impact: Will it drive revenue, reduce cost, or mitigate risk?
- Resources Required: Consider both technical and non-technical lift.
- Strategic Alignment: Does this move us closer to who we’re trying to become?

✅ Involve stakeholders.
When people feel heard, they’re far more likely to support the final call - even if their project doesn’t make the cut.

✅ Cut down the meetings.
This is where tools like WASHI shine. It helps teams prioritize asynchronously, across functions, using defined criteria, without endless meetings.

Fewer meetings. Faster alignment. A clearer path to real business impact.