5. Involve the right stakeholders early
The initial idea may come from marketing, corporate communications, or another team that spends significant time working in PowerPoint.
But a successful enterprise pilot also needs to address the requirements of IT, data privacy teams, and, where applicable, AI program owners.
A promising use case can quickly become an enterprise-level project. IT and privacy teams need to understand how data is processed and how the solution is secured. AI leaders need to determine how the use case fits into the organization’s broader AI strategy. Depending on your company, procurement, legal, security, or internal governance teams may also need to be involved.
Our checklist for preparing an AI presentation project helps you organize the information needed for internal alignment and approval, from business value to security.
For a broader look at the organizational prerequisites, see our article on AI readiness for presentation AI.
6. Measure time to a usable slide
Generation speed alone is not a meaningful measure of business value.
What matters is how long it takes to reach a result that someone can actually use.
Track the total editing time, the amount of rework required, and the content and visual quality of the output. Combine quantitative measurements with participant feedback.
Where does AI genuinely save time? Where does it create additional work? Which tasks produce the strongest results? Which requirements did you discover only after testing began? What are humans still better at?
The answers to these questions are often more valuable than generation speed itself.
Common mistakes in presentation AI pilots
Many pilot problems are caused by the testing process rather than the AI itself.
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User access, source content, or templates are not ready on day one, reducing the time available for meaningful testing.
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Test cases change repeatedly during the pilot, making results difficult to compare.
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Feedback is scattered across emails, chats, and individual conversations. A shared, structured feedback form makes the results easier to evaluate.
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The scope continues to expand during testing. New use cases are often better addressed in a follow-up pilot.
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No clear next step has been defined for the end of the pilot. Schedule the evaluation and decision meeting before testing concludes.
Conclusion – A strong pilot measures business value
A presentation AI pilot succeeds when it gives your organization enough evidence to make a clear decision.
Which presentation tasks can AI meaningfully support today? Does the AI solution meet your business, technical, security, and brand requirements? Does the AI-supported workflow actually perform better than your current process?
Answering those questions is what turns an AI experiment into a credible business case.
If you want to find out whether presentation AI can deliver value beyond a demo, test it with your own content, templates, brand guidelines, and real presentation tasks. Learn how empower® AI helps organizations integrate AI into their presentation workflows.




