BEXTIO — Institutional AI Diagnostic
The Institutional AI Diagnostic examines an institution’s problems, processes, knowledge and data before proposing uses. It helps clarify responsibilities, risks and the conditions needed for a meaningful test. This publication helps teams prepare a focused discussion, identify the information needed and agree on responsibilities before moving forward. Read it alongside the related BEXTIO articles to connect the proposed approach to your organization’s actual work. It provides a basis for defining the scope, examining risks and setting measurable criteria. The next step should follow the organization’s priorities, available data and capacity to act. Download the English PDF to review the full methodology and supporting guidance.
Audience : Public decision-makers, administrative teams and institutional project managers
What you will find
- Purpose
- Ten BEXTIO questions
- Assessment areas
- Prioritization
- Public deliverable
- Transition to a pilot
Related BEXTIO articles
- How should a public institution choose its first AI project?
- Before deploying AI in a public institution: 7 risks that need governance
- 30–90 day AI pilot: how a public institution can move from an idea to measurable evidence