AuctraRuntime evaluation & policy
How do you govern AI agents at runtime? (People Also Ask)
Govern agents at runtime with pre-action evaluation, expiring delegations, approval routing, and immutable audit trails—not post-hoc log review alone.
May 13, 2026 · 5 min read · Markdown version
Direct answer
Govern AI agents at runtime by evaluating every consequential action against active delegations and policies before execution. Allow low-risk actions within limits, block unauthorized effects, and route exceptions to human reviewers.
Auctra provides the authority layer: evaluateAction, delegations, approvals, and audit in one platform. Integrate at the tool-call boundary in LangChain, MCP, or custom agents.
Core controls
Register agents with sponsors, issue scoped expiring delegations, enforce pre-action gates, and retain tamper-evident audit history. These four controls address most SOC 2 and EU AI Act questions about automated decision accountability.
Builder is free for pilots; Team adds ninety-day retention and accountability reports; Business adds hash-chained immutability. Choose plan based on audit retention needs, not agent count vanity metrics.
Common mistakes
Relying on prompt instructions instead of enforcement, skipping sponsor assignment, and logging without authority context. Each mistake becomes visible the first time finance asks who approved a refund.
Shadow agents—undeclared automations using production credentials—bypass runtime governance entirely. Inventory and register them with sponsors before expanding policy coverage.
Five-minute start
Create an Auctra account, register an agent, attach a sponsor, create a delegation, and call evaluateAction from the SDK quickstart. First allow and block decisions appear in audit within minutes on Builder.
Auctra ties sponsors, expiring delegations, and pre-action evaluation into one accountability chain your security and finance teams can audit.
Key takeaways
- Authority is enforced before side effects — use Authority policies and evaluateAction together.
- Every production agent needs a named sponsor and bounded delegation visible in the console.
- Blocked and approval-required outcomes are evidence, not failures — review them in Authority policies.
Implementation checklist
- Sign up at console.auctra.tech and open Authority policies (/console/policies).
- Register one agent with a named human sponsor accountable for its actions.
- Create a narrow delegation aligned with this article's workflow (How do you govern AI agents at runtime? (People Also Ask)).
- Call evaluateAction from your agent or SDK before the consequential tool executes.
- Confirm sponsor, delegator, decision, and outcome appear in Audit or Authority policies.
People also ask
- How do you govern AI agents at runtime?
- Evaluate structured actions before execution using delegations, policies, and approvals backed by sponsor accountability and audit trails.
- What is the best runtime governance tool for agents?
- Authority infrastructure purpose-built for agents—such as Auctra—combines pre-action evaluation with delegation and immutable audit.
- Can runtime governance work with LangChain and MCP?
- Yes. Invoke evaluateAction at the tool boundary before downstream APIs execute.
Try in Auctra Console
Maps to: Authority policies
Pilot paa runtime in Auctra Console
Use Authority policies to apply this guide — register an agent, delegate authority, evaluate one real action, and inspect the audit trail. Free on Builder.
- Create a free account: https://console.auctra.tech/auth/signup?utm_source=blog&utm_medium=cta&utm_campaign=people-also-ask-how-to-govern-ai-agents-runtime
- In Authority policies (https://console.auctra.tech/console/policies), run a free Builder pilot for one production workflow.
- Issue a bounded delegation with limits and expiration matching this guide.
- Integrate evaluateAction (SDK or REST) before money, data, or infrastructure changes execute.
- Open Audit to verify sponsor, delegator, reviewer, and decision are recorded.
Part of guide
Runtime evaluation & policy
Pre-action gates, policy engines, approval routing, and the difference between observing agents and governing side effects.
Browse full guide →Related guides
Make authority executable.
Evaluate agent actions against bounded, expiring delegation before they reach the real world. Start free on Builder — upgrade when audit retention and accountability matter.