Where AI meets the future of experimentation

AI isn't replacing the discipline of experimentation, it's broadening the horizons of testing, for the better. More hypotheses, faster cycles, and results that make waves.

See exactly how AI fits into every stage of the journey — from ideation to iteration — through agent demos and real use cases.

Register now

See what top teams are actually doing

Discover how high-performing teams deploy agents across their current workflows

Turn AI curiosity into real capability

Build genuine AI fluency, and understand the tools, habits, and culture that make it stick

Scale insights without scaling headcount

Run more tests, surface findings faster, and close the gap between data and decision

Get a front-row seat to what's coming next

Explore the tools and agent behaviors that are already reshaping how teams test

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Agenda

Here's what we're running

Hands-on sessions. Honest takes. Real frameworks. Everything here is designed to help you run better experiments, make smarter decisions, and take something back to your team the very next day.

Keynote

Experimentation x AI: Honest takes with Elena Verna

The gap between AI hype and AI reality has never been wider, and the experimentation community is feeling it. Elena Verna, one of the sharpest minds in the field shares her unfiltered view: what she's excited about, what's actually worth your attention, and what's just noise.

In this session, you'll find out:

  • What this new era really means for your career, and how to stay ahead of it
  • The mindset shifts teams need to make — and the ones that will hold you back
  • How Elena has been navigating it herself, and what surprises her along the way
Beyond headlines: Big ideas in AI-driven experimentation 

Beyond headlines: Big ideas in AI-driven experimentation 

Divya IsaiahResearch and Insight, BBC
Grace MillerHead of Failure and Experimentation, Flight Story

The companies pulling ahead are using AI to think bigger, move faster, and test ideas they'd never have had the capacity to explore before. And who needs to move faster than the likes of BBC and Flightstory — two of the biggest media organizations in the world?

In this session, you'll discover:

  • What's actually happening in agentic experimentation right now

  • Where the industry is heading in the next 2–3 years

  • What good human-agent collaboration really looks like

From first agent to full workflow: The Salesforce story

From first agent to full workflow: The Salesforce story

Brandon BrackettDirector, Growth Experimentation & Experience Development, Salesforce

Everyone's talking about AI agents, but not everyone is actually building with them. And even fewer are doing it in a way that scales.

Salesforce shares their story on how they identified the right entry point, how they phased their adoption, and what the journey from first agent to full workflow actually looked like.

In this session, you'll learn:

  • A framework for finding your highest-impact AI agent starting point
  • What a phased adoption plan looks like when it's working in practice
  • How to bring your team along — and set them up to scale
Insight to decision: How agents are fueling your analytics

Insight to decision: How agents are fueling your analytics

Bhavik PatelData Director, Huel

Your analytics stack is generating more data than ever. But access was never the problem; it's knowing what to act on. AI doesn't just speed up analysis, it changes which questions you think to ask.

In this session, you'll learn:

  • How Huel's analytics function changed with AI day-to-day
  • Why good AI analytics are tied to business health, not vanity metrics
  • How to trust an AI-surfaced insight enough to actually act on it
Beyond the tools: The human side of AI transformation

Beyond the tools: The human side of AI transformation

Calley BowserProduct Manager, ASOS
Shaun DolanGroup Digital Optimisation Manager, Kingfisher

The hardest part isn't the tech. Maintaining quality, trust, and team buy-in as volume scales? That where most programmes quietly fail. Two big retailers share their stories.

In this session, you'll discover:

  • How Kingfisher and ASOS are building a team culture that iterates with AI
  • How to maintain test quality as experiment volume grows
  • What cultural and governance guardrails you need to put in place

Meet our speakers

Out-of-the-box agents: See the theory in practice

The theory is in the talks, the proof is in the demos. In between each of the Test + Learn sessions, you'll be shown AI agents in action; ones that ideate, build, analyze, iterate, and more. By the end, you'll leave knowing not just what's possible, but what AI in experimentation could actually look like for your team.

Experiment Ideation Agent

Perfect for: Experimentation and CRO teams

Benefits: Analyzes webpages and images to surface experiment suggestions backed by Optimizely's proprietary data — in seconds.

Variation Development Agent

Perfect for: Developers and CRO teams

Benefits: Translates prompts into custom JS and CSS to build and edit experiment variations, no developer dependency required.

Experiment Prioritization Agent

Perfect for: Experimentation teams and growth strategists

Benefits: Scores and ranks experiment ideas using your contextual data and a framework you define.

Experiment Summary Agent

Perfect for: Analysts and programme leads

Benefits: Summarizes results in plain language, interprets performance across metrics, and recommends next steps (no manual write-up needed).

Experimentation Program Overview Agent

Perfect for: Programme leads and stakeholders

Benefits: Instant AI-powered reports on velocity, win rate, and ROI for immediate answers about programme health.

Ready to see AI-powered experimentation in action?

Two hours. Five sessions. Every stage of the experimentation journey — accelerated by AI. Real agents. Real data. Real decisions you can implement. 

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