Four AI agents, one CDP: building an AudienceStream copilot for Edwards Lifesciences
A lean CDP team, a growing backlog of audience requests, and a platform that only gets more valuable the more it's used. Here is the agent copilot we built to close that gap.
Discover how Edwards Lifesciences partnered with Magpie to build a four-agent AI copilot on top of their Tealium AudienceStream implementation — turning attribute builds, QA checks, audience strategy, and documentation from manual, specialist-dependent work into requests a marketer can make in plain English.
In this case study, you will learn how the team:
- Reduced CDP asset build time by 80–90%, from a multi-day specialist task to a single prompt
- Deployed a QA agent that continuously validates events, enrichments, connectors, and identity resolution
- Built an audience optimization agent that finds duplicate, unused, and underperforming segments automatically
- Automated governance documentation, dependency mapping, and naming-standard enforcement across the CDP
Download the full case study to see how Magpie built an AI agent layer that made Edwards Lifesciences' CDP faster to operate and easier to trust.
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