Pega Research: Agentic AI Success Tied to Process Overhaul
Event summary
- Pega surveyed 500 business/IT decision-makers who successfully implemented agentic AI projects.
- 96% of successful implementers rethought existing processes to support collaboration and innovation.
- 71% prioritized automating complex processes for predictable outcomes.
- 77% cited lack of resources as the top barrier to agentic AI success.
The big picture
Pega's research underscores the strategic importance of process reengineering in agentic AI adoption, aligning with broader industry trends toward AI-driven operational transformation. The findings suggest that successful implementation requires not just technological deployment but fundamental cultural and procedural changes. This shift is critical as enterprises seek to derive measurable value from AI investments amid growing competition.
What we're watching
- Cultural Shift
- How organizations will adapt their cultures to maximize agentic AI benefits.
- Resource Allocation
- Whether companies can overcome resource constraints to scale agentic AI implementations.
- Outcome Measurement
- The pace at which businesses establish and track success metrics for agentic AI projects.
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