About
Governed AI operations for teams that need proof, not just prompts.
NopsAI brings AI-assisted operational work into reviewed configuration, access boundaries, controlled runtime, approvals, logs and evidence.
Why we built it
The problem is not whether AI can help. It is whether the work can be governed.
Teams already use AI to inspect pull requests, explain failures, summarize incidents, draft release notes and coordinate repetitive work. NopsAI is designed so the operational answers live with the run.
What we believe
Governance should be part of execution, not an afterthought.
The platform follows a small set of durable operating principles across configuration, authorization, runtime placement, AI providers and evidence.
AI work needs an operating boundary
A prompt is not enough for production operations. Work needs signals, definitions, scopes, approvals, runtime placement and evidence.
Configuration should be reviewable
Pipelines, steps, access, knowledge, LLM and MCP profiles, schedules, triggers and runtime defaults deserve infrastructure-grade change discipline.
Authorization should follow the caller
A workflow must not become a shortcut around access control. Sensitive resources and targets resolve only after live authorization decisions.
Evidence should outlive the conversation
Trigger data, authorization decisions, resolved context, logs, approvals, outputs and final state should stay connected to the run.
Who it is for
Teams that own operational work across systems.
NopsAI is most useful where work crosses tools, involves sensitive context or actions, and needs a reliable trail from initiation to outcome.
Bring one workflow. We will map its controls, runtime, and evidence with you.
The fastest way to evaluate NopsAI is a single real workflow you already run manually and cannot safely hand to an unrestricted agent.