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Managing evolving stakeholder expectations in AI Projects

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Srikana Ray
Community Champion
IT Project Manager

When managing an AI project, stakeholder expectations can evolve continuously as requirements, capabilities and scope become clearer.

As a project manager, what strategies have you found effective for managing changing expectations while keeping the project aligned with business goals, timeline and scope specially when following hybrid project management methodology?
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Alan Halley Remote Project Manager Ilhéus, Brazil, Brazil
Most of the "expectation drift" on AI projects isn't scope creep — it's that nobody actually knows what the thing can do until it's built. You can't spec a capability you haven't demoed yet.

What works: skip the charter language ("the system will accurately summarize X"). Show a rough version against real data in week one, ugly and all. Expectations anchor to what they see, not to the word "AI."

Then keep two lines visible every sprint: what it does today, what we're confident it'll do by ship. Say the gap out loud, in the room, every time — not buried in the backlog. Left alone, the stakeholder's mental model drifts back to the pitch deck between meetings.

Hybrid handles the cadence fine. The PM's job is re-anchoring expectations to the demo, repeatedly, because they don't stay anchored on their own.
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1 reply by Srikana Ray
Aug 10, 2026 9:13 PM
Srikana Ray
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Thank you for sharing the valuable insights.
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Srikana Ray
Community Champion
IT Project Manager
Aug 10, 2026 4:48 PM
Replying to Alan Halley
...
Most of the "expectation drift" on AI projects isn't scope creep — it's that nobody actually knows what the thing can do until it's built. You can't spec a capability you haven't demoed yet.

What works: skip the charter language ("the system will accurately summarize X"). Show a rough version against real data in week one, ugly and all. Expectations anchor to what they see, not to the word "AI."

Then keep two lines visible every sprint: what it does today, what we're confident it'll do by ship. Say the gap out loud, in the room, every time — not buried in the backlog. Left alone, the stakeholder's mental model drifts back to the pitch deck between meetings.

Hybrid handles the cadence fine. The PM's job is re-anchoring expectations to the demo, repeatedly, because they don't stay anchored on their own.
Thank you for sharing the valuable insights.
avatar
Syed Ashir Riaz
Community Champion
AI-Powered Social Media Strategist
Set expectations early that AI outputs improve iteratively, not linearly; show progress in short sprints so stakeholders see real capability instead of assuming it. Use a change log tied to business goals, so every scope shift gets weighed against timeline impact before it's approved.

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