AI newsThe story, in brief
Building the foundations for agentic AI at scale
Everyone is focused on building AI agents. Nobody is talking about the data foundations that make them actually work at scale.
The KeyNews take
Why it matters
McKinsey outlines the critical infrastructure and operational changes enterprises need to make agentic AI deployments successful, focusing on data quality and workflow transformation rather than just the technology itself.
The key facts
4 to knowAgentic AI requires modernized data architectures
Focus on agentifying high-impact workflows
Data quality enforcement is critical for scale
Operating models must evolve for agentic AI success
Go to the source
McKinsey Insightsmckinsey.com
Publisher excerpt: Agentic AI scales on strong data. To capture value, tech leaders can agentify high-impact workflows, modernize data architectures, enforce data quality, and evolve operating models.
