When AI adoption fails, it’s usually not the AI.
Most AI rollouts hit the same wall

Casual workarounds. Manual overrides. Managers who don’t trust the system and just stop using it.

Sapia.ai has been deploying AI-native tools inside large, complex enterprise environments since 2018. We’ve seen what works, what breaks, and why the gap between a successful rollout and a failed one almost always comes down to change management, not capability.

In this session, we’re sharing what we’ve learned.

You’ll see:

  • Why enterprise AI fails and the warning signs to watch for
  • How to find the people in your organisation who will make or break adoption
  • A practical checklist for AI rollouts that stick

Speakers:

Chloe Hamman
Behavioural Scientist & Principal Strategic Advisor, Sapia.ai

Chloe has spent nearly two decades at the intersection of psychology, technology, and organisational behaviour. As Director of Product People Science at Culture Amp for close to a decade, she built the practice that translated behavioural science into products used by thousands of organisations globally. Her work spans psychometrics, AI experimentation, employee experience, and the very human dynamics that determine whether new technology lands, or gets ignored.

She knows what it looks like when people and AI meet and what it takes to make that meeting go well.

Who this is for:

  • HR and TA leaders navigating AI adoption decisions
  • People ops and change management professionals
  • Anyone who’s been burned by a rollout that looked good on paper

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