Your company rolls out an AI agent to assign tasks, draft updates, and nudge overdue approvals. But within days, it’s flagging completed work, tagging the wrong people, and creating confusion instead of clarity.

It’s a familiar outcome for companies that adopt agentic AI without the workflows, data, or systems to support it. New research from Wrike reinforces that disconnect: 74% of employees say their company treats data like gold, yet most don’t manage it well enough for AI to use it effectively.

Even the smartest, most context-aware tools stall without strong foundations. And automation doesn’t fix broken operations—it magnifies them.

To get agentic AI right, organizations need a phased approach that tightens processes, clarifies what’s worth automating, and ensures AI is set up to a

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