Platform

Platform overviewWorkflow orchestrationGitOps configurationGovernance and AAAAI and MCPRuntime and executionEvidence and monitoring

Use cases

All use casesProduction incidentRelease preparationHotfix to productionSecurity scan triage
Why NopsAIIntegrationsSecurity

Resources

All resourcesAI agent governanceMCP governanceMCP securitySelf-hosted platforms
Pricing

Company

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Platform

Governed AI operations, explored by capability.

Build repeatable AI-assisted workflows, keep configuration reviewable, authorize every runtime resource, execute on isolated runners, and preserve evidence from signal to outcome.

nopsai · steps
The NopsAI operator interface showing reusable step definitions per team with GitOps source, owning team and identifier.

Operating model

One path from intent to evidence.

NopsAI connects control-plane decisions and data-plane execution without turning AI work into a separate, ungoverned system.

Signal

Normalize intent

Git, schedules, APIs, manual actions and external services enter one request model.

Govern

Resolve permission

AAA, scope, secrets, knowledge and profiles are checked before dispatch.

Run

Execute in isolation

The dispatcher selects an eligible Docker or Kubernetes runner for a per-run agent.

Prove

Keep the evidence

Logs, task state, approvals, AI usage and outputs remain attached to the run.

Operator surface

What the operator actually sees.

Configuration is Git-owned, but the operating surface is a product: teams, runs, approvals, profiles and evidence in one place.

Pipeline runs overview with status cards and a live run list.
MCP servers with provider, scopes, tool counts and status.

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.