Kantar reimagines data prep, puts Copilot Studio agents to work readying data for AI

Kantar automates data prep for AI with multiple agents built in Copilot Studio, cutting workload and boosting efficiency. Kantar broke down the complex data prep tasks into smaller, manageable subtasks, then built AI agents in Copilot Studio to perform them. With a team of AI agents, the HR crew cleaned, tagged, and organized 4,000 artifacts into 400 policy documents in just six weeks.

Agent or tool: Copilot Studio
Topic: Research & Data
Reported on: Case study (Microsoft)
Added: 2026-11-11

Why it matters

Research is mostly gathering, cleaning and comparing. Handing that groundwork to an agent leaves the person with the part that needs judgment: deciding what the findings mean. It is one of 201 sightings filed under Research & Data on Agent Sightings (number 95 by interest), and one of 116 involving Copilot Studio.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Copilot Studio or any similar agent and adjust the details to your situation.

I want an agent to take on this workflow, show its working, and wait for approval on anything that changes a system or contacts someone. The tool in the source case was Copilot Studio.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (Microsoft): https://www.microsoft.com/en/customers/story/25674-kantar-microsoft-copilot-stu…. Our summary is a paraphrase; details are in the source.

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