April 2, 2026via McKinsey Insights
Building the foundations for agentic AI at scale
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.
Key signals
- Agentic 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
The hook
Everyone is focused on building AI agents. Nobody is talking about the data foundations that make them actually work at scale.
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.
Relevance score:85/100