Pega: Architecting Agentic AI for Measurable Enterprise Outcomes
Pega — 2026 — AI & Technology
The research conducted by Pega in collaboration with Savanta indicates that the success of agentic AI in enterprises is not solely dependent on technology but rather on how organizations redesign their operations around AI. While AI adoption is prevalent, achieving enterprise-wide impact remains a challenge, necessitating a strategic shift towards orchestrated workflows and measurable outcomes rather than isolated implementations.
Key Statistics
- 58% of organizations identify predictable outcomes as the primary benefit of agentic AI
- 70% prioritize end-to-end automation of complex, multi-system processes
- 96% of successful organizations rethought processes before deploying AI
- 80% of successful organizations cite strong business and IT alignment as critical
Key Takeaways
- Organizations should integrate AI into systems designed for consistent, predictable outcomes from the outset.
- Establish cross-functional governance to oversee AI initiatives and ensure alignment between business and IT.
- Prioritize reimagining traditional processes to maximize the value derived from AI deployments.
Cite as: Pega. (2026). Pega: Architecting Agentic AI for Measurable Enterprise Outcomes. Retrieved from https://research.agilebrandguide.com/research/pega-architecting-agentic-ai-for-measurable-enterprise-outcomes