Agent Adoption, Accelerated

Analytics agents are here. And every data leader is staring at the same question: how do we actually roll this out without it becoming a disaster?

The concerns are real and familiar: lack of control over what the agent might recommend, fear that one wrong answer tanks credibility, weak data foundations getting exposed instantly, and cultural shifts nobody's quite ready for.

But here's what we've learned from teams who've done this successfully: agents aren't different from any other data product. Start small. Build trust. Scale with advocates. Just do it faster.

In this webinar, we'll walk through the practical 3-phase framework that lets you deploy an analytics agent confidently in two weeks—not two quarters.

We'll cover:

1. Phase 1: Scope — focusing on use cases that matter without chasing edge cases or going so broad you guarantee failure
2. Phase 2: Embedding — working with 3-5 early adopters to test, iterate, and iron out governance issues before wider rollout (this is where the real work happens)
3. Phase 3: Guided Rollout — using your advocates to embed the agent across the wider team while maintaining trust and accuracy

This isn't theory. It's the playbook from teams who've already done it, complete with what worked, what didn't, and how to avoid the traps that slow everyone else down.

Who should tune in?

• Data leaders evaluating or piloting analytics agents who need a practical rollout plan. You'll leave with a framework you can start using next week.
• Data teams responsible for deployment who want to avoid the chaos of uncontrolled rollouts. You'll leave knowing how to build trust systematically before going wide.
• Anyone feeling pressure to "do something with AI agents" but unsure how to do it responsibly. You'll leave with confidence that there's a real path between hype and paralysis.