Start small, learn fast: Getting value from AI today

The teams currently getting value from AI analytics didn't plan their way there. They picked a starting point, got a win worth sharing, and let adoption grow from there.

Every team waiting for the perfect moment is missing out on value they could have today.

In this 30-minute session, we'll work through three blockers that keep analytics teams stuck, show you how to get past them, and see the Count AI agent in action along the way:

• "Our data isn't clean enough." We'll show you how to scope a starting point that works with what you have today, and how the agent helps surface and fix gaps as you go rather than waiting until everything is perfect.
• "How do we get the whole org using it?" We'll walk through how to set up a first project so that early wins spread naturally, pre-loading context, suggesting first questions, building the feedback loop that drives organic adoption.
• "Will this replace me?" We'll show you what it actually looks like when analysts work alongside the agent, offloading the repetitive requests but more importantly fast-tracking the analysis that would have taken days. The kind that changes decisions, not just answers questions.

Who should join:

• Data teams navigating AI adoption.
• Analysts wondering where to start
• Anyone weighing up their options and unsure how to move forward, but keen to start getting value sooner.