CI gate
Runtime governance for AI and ML systems in production.
Enforce policy, capture runtime evidence for AI and ML decisions, and reconstruct outcomes across production systems—including autonomous agents, tools, and multi-agent workflows.
EU AI Act ReadyISO 42001 AlignedNIST AI RMF MappedSecurity First
How it works
How AIGov works
Discover systems, enforce policy at runtime, record evidence, and export audit packs. Select a step to explore.
01Discovery inputs
Register governed AI assetsModels, agents, tools, prompts, deployments, orchestrations, ownersProduction AI surfaces that require policy scope and runtime evidence.
02SDKs and integration surfaces
03Governance core
AIGov runtime governance engine
Policy Engine
AllowBlockRequire approval
Human Approval
Execution Trace Recorder
Model→Tool→Delegate→Approval→Decision
Audit Ledger
h0→h1→h2→h3
Compliance Verdict
VALIDINVALIDBLOCKED
04Deliverables
Tenant Console
CI Gate
JSON Export
Auditor Package
Regulator Evidence
Discover Register agents, orchestrations, tools, and deployments under policy scope.
Policy-enforced evidence and exports — not SOC 2, legal certification, or WORM storage.
Runtime policy, execution traces, and evidence packs—ready for CI gates and audit export.
Production control
Govern agent execution in production
Move from scattered logs to runtime policy, execution traces, and exportable audit evidence.
Before AIGovFragmented
After AIGovOperational
- Agents registered under policy scope
- Execution traces link every step
- Delegation recorded on the ledger
- Audit exports with full run history
- CI gates on runtime evidence packs
Outcomes
Evidence packs
Export runs, not log archaeology
Procurement
Show controls early
Hash chain
One ledger for agent evidence
Hover a row to see what changes.
From production controls to framework alignment and enterprise outcomes.
Enterprise
Runtime evidence for enterprise review
Execution traces, policy outcomes, and audit exports map to recognized frameworks—without certification claims.
Framework alignment
Runtime evidence and execution artefacts for high-risk agentic systems.
Structured execution and policy artefacts for AI management system controls.
Map, measure, and manage agentic workflows with exportable verdicts and policy-enforced runtime ingest.
One evidence model—runtime policy, execution traces, hash-chained records—maps to multiple frameworks.
Enterprise trust
Verified capabilities
- Multi-tenant RBAC
- Runtime policy enforcement
- Execution trace capture
- Delegation and tool tracing
- Hash-chained audit evidence
- Machine-readable exports
Responsible claims
- Not SOC 2 certified
- Not legal advice
- Not automatic compliance
- Not a passive observability layer
- Does not replace human judgment
Commercial impact
Faster security reviews
Reviewers inspect execution traces and policy outcomes—not assembled log dumps.
Shorter procurement cycles
Demonstrate runtime governance and audit exports before deep vendor diligence on agentic systems.
Lower audit preparation effort
Export evidence packs with decision traces instead of manual delegation-graph reconstruction.
Stronger buyer confidence
Conservative claims backed by hash-chained runtime records, immutable audit exports, and CI gates.
COMMERCIAL
Pricing
AIGov Core for evaluation. Hosted Professional (€499/month) and enterprise for governed production.
Free
€0
AIGov Core (aigov-core) for local evaluation.
- Python SDK and CLI
- Local evaluation
- Audit evidence export
- Documentation and examples
ProRecommended
€499/ month
Proprietary AIGov platform — hosted audit API for production teams.
- Hosted audit API
- GitHub Action gate
- Higher run and event limits
- Standard support
EnterpriseRegulated
Custom
For regulated deployments and large organizations.
- Self-hosted and SSO
- Dedicated support
- Custom limits
- Procurement support
Strategic
Custom
Pilots, onboarding, and implementation services.
- Enterprise pilots
- Implementation services
- EU AI Act advisory
- Internal training
Common questions from platform, security, and compliance teams.
Buyer questions
Frequently asked questions
Answers for teams evaluating runtime governance for production agent systems.
Does AIGov guarantee compliance for autonomous agents?
No. AIGov enforces policy on runtime evidence from agent and orchestration execution and produces exportable artefacts. Legal conformity and risk acceptance remain your organization's responsibility.
Is AIGov legal advice?
No. AIGov is runtime governance and evidence infrastructure. It does not provide legal opinions, regulatory filings, or conformity assessments.
Does AIGov support multi-agent and delegation graphs?
Yes. Execution traces capture model calls, tool usage, and delegation edges. Policy runs at execution time—before evidence hits the ledger—so multi-agent runs can be audited end to end.
Is AIGov a post-hoc dashboard or observability tool?
No. AIGov enforces policy at runtime and records immutable execution evidence. It is not passive observability or generic AI governance SaaS.
Can AIGov be self-hosted?
Yes. Run the AIGov Core open-core runtime (aigov-core) on your infrastructure. Hosted audit API and tenant console on govbase.dev are proprietary platform accelerators.
Which standards are supported?
AIGov maps runtime evidence exports and policy gates to EU AI Act, ISO/IEC 42001, and NIST AI RMF alignment patterns — not certification.
What runtime evidence does AIGov export?
Compliance summaries, decision traces, hash-chain proofs, audit JSON evidence packs, tenant console snapshots, and CI gate results — all machine-readable and tied to policy evaluation.
Who typically uses AIGov?
AI engineering, platform, security, compliance, audit/risk, and regulated startups operating autonomous agents or multi-agent orchestrations in enterprise environments.
How long does a pilot take?
Most teams run a local evaluation in days, then wire runtime hooks, CI gates, and a hosted audit backend over one to two sprints depending on orchestration depth.
What is included in Enterprise?
SSO (SAML/OIDC), private cloud or on-premise deployment, advanced RBAC, dedicated onboarding, priority support, custom SLA, security questionnaires, and procurement support.
Next step
Start a pilot on your stack
Evaluate runtime governance locally, or book an enterprise pilot with implementation support.