AI is shifting from insight to action. As intelligence moves off dashboards and into real-time operations, enterprises must evolve from AI-first experiments to AI-native systems embedded across the software development lifecycle (SDLC). While early adopters are seeing meaningful gains, many organizations remain constrained by legacy friction, siloed data, and limited readiness for autonomy at scale.
This POV introduces the agentic enterprise and what it takes to build and scale it.
Download our whitepaper to learn:
- How agentic enterprises evolve from single-task agents to coordinated, multi-agent operational networks
- What changes when agentic AI is embedded into the SDLC rather than added as a tool
- The six capabilities that enable autonomous systems
- How Sutherland helps organizations integrate next-generation systems and processes for measurable outcomes
- What CIOs should consider when scaling agentic AI in 2026 and beyond
