System Initiative added autonomous AI agents to its infrastructure automation platform to interact with digital twins of IT environments. DevOps teams can use natural language prompts to request outcomes, receive AI-generated plans, review them, and approve automated execution. AI agents can complete tasks in minutes that previously required weeks and can propose validated changes to optimize workflows and remove bottlenecks. Teams can import existing infrastructure to build a real-time digital twin functioning as a knowledge graph for AI agents to explore resource relationships. Custom guardrails, rules, policy checks, and tests limit agent scope and ensure compliance and operational requirements.
DevOps engineers using natural language prompts can simply tell the System Initiative platform what outcome they want and the AI agent determines how best to accomplish that task. DevOps engineers then review that plan, which, if approved, will be executed by the AI agent, said Jacob. AI agents will be able to complete tasks in a matter of minutes that previously would have required weeks for DevOps teams to manually perform, he added.
Additionally, DevOps teams can import existing infrastructure into the System Initiative platform to create a real‑time digital twin of every element of their IT environment that they can then use AI agents to help them explore and uncover hidden relationships between resources, noted Jacob. The digital twin platform created by System Initiative essentially functions as a knowledge graph that AI agents can use to understand the relationships between resources, he added.
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