There are many potential use cases, but you may only have time, skills, and funding to run one pilot. Where can you best drive value?
AI has great potential but also carries great risks. How do you balance value and risk to deliver AI pilot projects to your organization?
The capabilities, costs, and challenges of AI, as well as the approaches to AI, are evolving rapidly. How do you manage risks?
Educate key stakeholders on AI technology fundamentals with support from Info-Tech.
Assess use cases in the context of your organization’s risk appetite.
Involve cross-disciplinary stakeholders in brainstorming and decision making.
Align to organizational goals and clearly define the “why” – the purpose of the pilot.
Keep the pilot right-sized and focus on making something work.
Evaluate your readiness to pilot and scale.
Be ready to walk away from pilot projects that aren’t delivering expected value.
1. Gather a longlist.
Identify potential use cases with input from business and IT stakeholders.
2. Cut to a shortlist.
Quickly sort by value and readiness to identify a shortlist of five or six ideas.
3. Select a pilot.
Conduct a focused value-readiness exercise to identify one or two pilot use cases.
Implement a pilot AI use case.