Scale at Speed™
English (Global)
French (Canada)
Abstract
Autonomous operations have long been a goal for enterprises. Advances in AI have made this more achievable, with agentic AI allowing systems to reason, plan actions, and respond to changing conditions rather than follow fixed rules.
Enterprises across industries are now testing agentic AI in different functions. The challenge is taking these efforts from pilot projects to real business results. This whitepaper looks at where agentic AI can deliver value first, how enterprises can gradually introduce more autonomous operations, and what governance is needed as its use grows. It focuses on infrastructure automation as an early area where enterprises can apply and scale agentic AI.
Key Insights
From AI Pilots to Autonomous Infrastructure
Agentic AI can move infrastructure operations beyond fixed automation by handling routine tasks, responding to changing conditions, and taking on more responsibility as performance improves.
Accelerate Autonomy as Performance Improves
Beginning with recommendations and human approval. As agents become more reliable, move to supervised execution and slowly allow them to handle defined activities independently.
Monitor Repetitive Tasks to Show Early Results
Service desk requests, cloud cost optimization, incident management, and capacity planning are suitable areas for early results because their outcomes are already closely tracked.
Infrastructure Leadership Takes on a New Focus
As agents take on routine operational work, infrastructure leaders can spend more time deciding where autonomy is appropriate, reviewing agent performance, and managing accountability across risk, security, compliance, and finance.