Pricing
Pricing for governed AI operations.
Pricing follows deployment scope, governed workflows, runtime capacity and rollout support rather than generic per-seat chatbot licensing.
Deployment
Self-hosted scope and environments.
Workflows
Governed operations in production.
Runtime
Runner pools and concurrency.
Support
From pilot through rollout.
Engagement packages
Choose the rollout stage, then shape the scope.
Every package is configured around deployment, workflow, runtime, identity, evidence and support requirements. No unqualified per-seat or per-run number hides those decisions.
Validate one workflow
Pilot
For a team proving the NopsAI control model on one high-value operational path.
Custom scope
- Self-hosted deployment guidance
- One workflow mapped from trigger to evidence
- Basic GitOps, LLM and MCP profile setup
- Access, approval and runner review
Best for
Platform, DevOps, security or engineering teams validating governed AI execution before rollout.
Operate day to day
Production
For teams moving governed AI workflows into delivery, incident, release and governance operations.
Custom scope
- Production self-hosted deployment
- GitOps-managed configuration
- Multiple workflows, teams and repositories
- Docker or Kubernetes runner placement
- OIDC SSO, caller-scoped AAA and approvals
- Monitoring, audit records and durable outputs
Best for
Organizations establishing repeatable AI-assisted automation inside existing production processes.
Standardize across teams
Enterprise
For organizations aligning AI-assisted operations across environments, controls and business systems.
Custom scope
- Multi-team and multi-environment operating model
- Advanced access, approval and runtime scope design
- GitOps promotion and release alignment
- Security, deployment and upgrade planning
- Priority implementation support
- Custom commercial terms
Best for
Enterprises placing NopsAI between CI/CD, internal tools, approved AI providers, MCP servers and governed production workflows.
What affects price
The operating boundary defines the commercial boundary.
We scope what NopsAI must govern, where work executes, and how much implementation support the rollout needs.
Frequently asked
Commercial basics, without the fog.
These answers describe the current self-hosted product position. A final proposal reflects the environment and workflow scope reviewed with your team.
Price the first workflow.
Bring the signal, the tools it touches, the approvers, the runtime boundary and the evidence requirements. We will scope from there.