FAIRFLAI

Adopting AI in the team

AIRC, the AIRC Foundation for Cancer Research, is the leading Italian non-profit organization funding cancer research. How to adopt AI within the bequests team through a journey tailored to specific needs and within the extended organization?

Context

The problem

How to truly drive the adoption of generative artificial intelligence within the day-to-day activities of the bequests team?

The organization had already experimented with AI sporadically: public tools, individual trials, a few hidden success stories. However, what was missing was a structured journey, tailored to the team's real operational needs and capable of scaling adoption from the single enthusiast to the entire group, in a sustainable way.

"We want AI to become a natural tool in our work, not a launch-week novelty."
Approach

The solution

A phased project spanning three months, designed to take the team from inspiration to daily practice, with two working MVPs as the final deliverable.

Duration
3 months
Training
16 hours
Final output
2 MVPs
PHASE 01

Assessment

Weeks 1–3

As-is analysis of the AIRC population and detailed mapping of the bequests team's activities, to identify the key leverage points to act upon.

PHASE 02

Training & LAB

16 hands-on hours

A hands-on program tailored to the bequests team's real activities: two theory modules, four workshops applied to their own cases.

PHASE 03

Leadership Envisioning

1 day

A dedicated session for the leadership team to reflect on the organizational impact of AI and identify strategic priorities.

PHASE 04

MVP & use cases

Weeks 9–12

Identification of concrete use cases through a dedicated workshop and implementation of 2 AI-based MVPs addressing specific team needs.

Impact

The results

Three months after launch, AI has become a permanent part of the bequests team's workflow, and two MVPs have been released and adopted.

The journey has left the organization with tools, a shared language, and a clear trajectory for extending adoption to other teams within the Foundation.

The real value wasn't the individual MVP, but the fact that now the team knows when and how to use AI in their work. It has become a shared language.

Referent
Bequests team
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