Agentic AI is raising the bar for what enterprise data needs to do. Moving from SaaS-era workflows to agentic systems requires more than AI features — it demands data that can support autonomous workflows, cross-system context, governance, and measurable outcomes.

Presented by Roger Beharry Lall and Lynne Schneider at IDC Directions 2026, Boston, this excerpt explores why agent-ready data is the difference between AI pilots that stall and those that scale.

In this Directions Presentation Excerpt, You’ll Explore

  • How enterprise applications are evolving from SaaS-era workflows to agentic systems
  • Why agent-ready data is becoming critical to agentic application success
  • Why application-bound data architecture limits agentic scale
  • Why application-bound data can limit autonomous workflows
  • How organizations can think about measuring agentic outcomes across engagement, efficiency, financial impact, and customer experience

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Agentic AI is reshaping how enterprises think about applications, data, governance, and outcomes. IDC helps technology vendors and tech buyers understand where the market is moving, where readiness is emerging, and how to make smarter decisions with trusted technology intelligence.