BEXTIO — Guide to Choosing Your First AI Project
This guide helps organizations choose a first AI project based on a real problem. It compares value, feasibility, data, risk and measurability to select a useful, achievable scope that supports rapid learning. 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 : Business and institutional leaders, project managers and teams
What you will find
- Why the first project matters
- Start with the problem
- Measure the baseline
- Identify the users
- Check data readiness
- Check knowledge readiness
Related BEXTIO articles
- How should a business choose its first AI project?
- Your business has its files. Does it really have business knowledge?
- How to measure the ROI of a first AI pilot
Next step
Use the AI Use Case SelectorChoose a first AI use case
Compare up to three ideas using what you know about your organization. This tool helps prepare a discussion; the result requires human review.
Score: benefit + data + ease + (4 − risk). A high-risk idea requires a governance review before any pilot. Your entries stay in this page and are not sent.