Agentic AI and the future of experimentation Skip to main content

On-Demand Webinar

Agentic AI and the future of experimentation

What to automate, where human expertise remains essential, and how agentic workforces are scaling experimentation to deliver faster insight and greater business impact.

AI is changing how experimentation teams operate - but where does it genuinely add value?

Webinar | 15 July 2026 | 12PM BST

When it comes to experimentation, teams are under pressure to move faster and prove impact - often with limited time and resources.

In this session, our experts explore how agentic AI workforces are reshaping experimentation delivery, helping teams scale output without increasing headcount, while freeing humans to focus on strategy, creativity, and higher-value decision-making.

We also look at where AI falls short, where human expertise remains essential, and how leading teams are using augmentation - not replacement - to become more strategic and effective.

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The reality for most teams: Experimentation should be a growth driver - but often, it isn’t.

  • Too much data

    You’re drowning in dashboards but still short on clear answers.

  • Slow testing cycles

    Tests take weeks to launch, analyse, and action.

  • Prioritisation chaos

    Roadmaps are driven by opinion instead of evidence.

  • Tactical perception

    Experimentation is often seen as optimisation theatre, not strategic growth.

So where does AI genuinely add value?

  • Insight & analysis

    AI can combine datasets, surface anomalies, and accelerate insight generation faster than manual analysis.

  • Hypothesis generation

    Generate stronger testing ideas based on behavioural patterns and customer signals.

  • Experimentation velocity

    Create variants, accelerate iteration, and reduce manual setup effort.

  • Reporting & communication

    Automate summaries and produce clearer stakeholder-ready reporting.

AI isn’t here to replace experimentation teams.

It’s here to remove the friction holding them back.

The strongest teams won’t be fully automated.

They’ll be AI-augmented.

The future isn’t AI vs humans - it’s agentic collaboration

In this session, we’ll explore how leading experimentation teams are:

  • Integrating agentic AI workforces without losing strategic oversight
  • Shifting focus from manual reporting to higher-value thinking
  • Identifying where AI agents add real value vs where human judgement is critical
  • Making experimentation more commercially relevant and outcome-driven
  • Scaling experimentation programmes without increasing complexity

You’ll leave with a clearer view of what “good” looks like in an AI-augmented experimentation model - and how to start building toward it.

This session will be especially valuable for:

🧪 Experimentation & CRO teams
📈 Digital experience & optimisation leaders
📊 Analytics & insight teams
🧠 Digital strategy & transformation leaders
⚙️ Marketing & product teams involved in testing

Led by industry experts

Leave with a clearer understanding of:

  • Use agentic AI to remove manual effort from experimentation workflows
  • Turn behavioural data into stronger, faster test ideas
  • Build a continuous experimentation engine without adding headcount
  • Balance automation with human decision-making
  • Increase testing speed, quality, and business impact

 

Ready to rethink how your experimentation team operates?

Watch now
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