Webinar | 15 July 2026 | 12PM BST
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’ll 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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Too much data
You’re drowning in dashboards but still short on clear answers.
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Slow testing cycles
Tests take weeks to launch, analyse, and action.
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Prioritisation chaos
Roadmaps are driven by opinion instead of evidence.
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Tactical perception
Experimentation is often seen as optimisation theatre, not strategic growth.
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Insight & analysis
AI can combine datasets, surface anomalies, and accelerate insight generation faster than manual analysis.
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Hypothesis generation
Generate stronger testing ideas based on behavioural patterns and customer signals.
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Experimentation velocity
Create variants, accelerate iteration, and reduce manual setup effort.
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Reporting & communication
Automate summaries and produce clearer stakeholder-ready reporting.
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
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?
Register now-
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