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AI principles at Ipsos: why it wrote the rules before rolling out the tools

Downloads | AI case studies, C-suite

Ipsos agreed its AI principles before it rolled out a single tool. Kerri O’Neill, Chief People Officer for Ipsos UK and Ireland, spoke to aibl in April 2026. She explained how three principles, Trust, Transparency and Truth, gave 20,000 people a shared frame for AI.

With the principles in place, Ipsos gave AI to every employee, trained everyone to question what it produces, and moved learning from individuals to teams. It has since launched a strategy built on augmentation instead of headcount cuts. Here is how it worked.

Ipsos in numbers

  • 20,000 people work at Ipsos around the world.
  • More than 50 years in business, through the shifts from face-to-face research to telephone, internet and now AI.
  • Three AI principles, the Three Ts, were agreed before any tool was rolled out.

All figures as stated by Kerri O’Neill in an interview with aibl.

What are Ipsos’s AI principles?

Ipsos’s AI principles are the Three Ts: Trust, Transparency and Truth. Trust means AI is never used to cut corners on statistically valid, evidence-based work. Transparency means being honest about what AI can and cannot do. Truth means every output must trace back to what people actually said.

Why did Ipsos set AI principles before choosing tools?

Because a clear frame helped people understand, embrace and experiment with AI. O’Neill says most organisations start with the technology. Ipsos set out its philosophy before any talk of tools or prompting. Staff knew how the business wanted to work with AI from day one.

Most people when they talk about adoption, they tend to start with technology. But what’s interesting about what Ipsos has done is start with a philosophy.

Kerri O’Neill, Chief People Officer, UK and Ireland, Ipsos

Who gets AI at Ipsos, and how are they trained?

Everyone gets AI at Ipsos, whatever their role or country. Every employee was trained in how a large language model works and how to prompt it. Ipsos also teaches healthy scepticism, so people check outputs, since a recent Wharton study found users trusting AI even when it was wrong.

Why does Ipsos favour group learning over solo courses?

Solo learning leaves a few fast people ahead while everyone else lags behind. O’Neill wants people to take courses alone and then discuss them together. At 20,000 people, Ipsos runs team and market-level sessions, and she suggests even half a day out together can shift a whole team.

You wouldn’t not give someone the cloud. You wouldn’t not give someone the internet. You wouldn’t not give someone electricity.

Kerri O’Neill, Chief People Officer, UK and Ireland, Ipsos

Key takeaways

  • Write your AI principles first. Then choose tools that fit them.
  • Give AI to everyone. Treat it as a general purpose technology, with basic training for all.
  • Train scepticism on purpose. Teach people what a language model is and is not.
  • Learn together. Pair solo courses with team sessions so nobody is left behind.

About the speaker

Ipsos logo

Kerri O’Neill is Chief People Officer for Ipsos UK and Ireland and its Global AI Workforce Transformation Lead. She has spent more than two decades in HR. Kerri O’Neill spoke to aibl in April 2026.

What’s in the full case study

If you are about to roll out AI tools, this is the order of work to borrow. The full PDF goes deeper than this page, in Kerri O’Neill’s own words.

  • The Three Ts in detail: what Trust, Transparency and Truth mean for day-to-day use of AI.
  • How Ipsos rolled AI out to everyone, and why it trains people to question the output.
  • Why learning together works better, and the case for augmentation over headcount cuts.
  • Five actions to take back to your own organisation.

For CPOs, HR leaders, COOs and digital or AI leads planning an AI rollout. Five pages, about a seven-minute read.

Set the rules before the tools

AI principles at Ipsos: why it wrote the rules before rolling out the tools
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