Which agents use the changed resource?
A sales policy can be used by several agents. Before deciding what to test, someone needs to find those agents and check whether the list is complete.
AI AGENT CHANGE MANAGEMENT
A new prompt or model is only part of a release. Data, tools, and access can change what an agent does, even when its code stays the same.
We’re building TrueRook to identify affected agents, collect the relevant test results, and give teams one place to decide whether a change can go live.
For teams responsible for agents already used in business workflows.
Sales quote agent
Discounts above 5% now need a manager’s approval. Does the agent follow the new rule?
Up to 10% off
without approval
Up to 5% off
without approval
One required check failed. Deployment has not begun.
Fictional policy, quote, and test results.
THE WORK BEHIND A RELEASE
Before a change goes live, someone has to connect the dependency, the test result, and the release decision. These are the questions TrueRook is designed to help answer.
A sales policy can be used by several agents. Before deciding what to test, someone needs to find those agents and check whether the list is complete.
A test suite can pass overall while missing an approval rule, an access restriction, or a business-critical failure.
A review can become outdated when a prompt, model route, or deployment configuration changes after approval.
A SALES QUOTE EXAMPLE
A sales quote agent used to offer up to 10% off without approval. The policy changes: anything above 5% now needs a manager’s approval. In a test, the agent still offers 10% on its own.
Select a step to see what it means for this release.
New rule: get approval for any discount above 5%.
WHAT THIS STEP MEANS
Previously, the agent could offer a discount of up to 10% on its own. The revised policy lowers that limit to 5%. Anything higher needs a manager’s approval.
Evidence: Sales policy: previous rule compared with the new rule
2 checks passed. This required check failed, so the release stays blocked.
Fictional example. No quotes are sent, checks run, or agents deployed from this page.
The agent’s code has not changed, but the rule has. That failed approval check needs to be resolved before the candidate can be approved for release.
WHAT THE TEAM GETS
See the changed resource, the agents known to depend on it, and the relationships that still need checking.
Start with source configuration and runtime observations. Keep the source and limits of each relationship visible.
Read the failed cases alongside the business rule, baseline result, and remaining gaps.
Bring together results from existing evaluation and security tools. Record who reviewed the change and what they approved.
Check that the version being deployed is the one that was approved.
Add a gate to a protected deployment path when supported. Confirm what is actually serving after rollout.
WHERE TRUEROOK FITS
Your team still builds the agents, runs its tests, and owns deployment. TrueRook’s proposed role is to connect the evidence and check that the release matches the decision.
Code, prompts, models,
tools, and data changes
Results, failed cases,
traces, and outcomes
Builds, rollout state,
and the serving version
Known consumers
and missing coverage
Tests, business rules,
approval, and exceptions
Approved version
versus observed version
Optional gate in your deployment pipeline
The customer’s protected executor checks authorization before deploying.
Begin with the evidence. Read changes and test results first. A deployment gate is a separate step that needs a protected pipeline and a reliable version identity.
Confirm the integration scope. GitHub, CI, agent configuration, and existing evaluation and telemetry systems are initial targets. Support is verified for each workflow.
PRODUCT FOCUS
The first workflow connects a change to its tests, approval, and deployment. Development stays in existing tools. Production findings can then become reviewed test cases for the next release.
The larger product thesis is that agent reliability needs a record of changes across code, data, tools, and permissions. We’re starting with release review because it gives a team a specific decision to improve and a concrete way to measure whether the product helps.
Read the product approachGET IN TOUCH
If your team is reviewing agent changes by hand or piecing together evidence from several tools, we’d like to understand the workflow.
Share a high-level use case. We’ll follow up about fit, product availability, and possible next steps. You do not need to commit to a pilot.
QUESTIONS
Engineering and AI platform teams responsible for agents used in business workflows. It is most relevant when changes require manual review, several tools hold the evidence, and a wrong recommendation or action has a consequence. Security reviewers and process owners can use the same release record.
Those tools supply test results and runtime observations. TrueRook’s intended role is to connect them to a specific change: what needs testing, whether required checks passed, who approved it, and what was deployed. The first step is to assess the tools and evidence you already have.
TrueRook is in development. Express interest to discuss your use case and availability. Access, integrations, and any pilot scope will be agreed directly; submitting the form does not enroll your company in a program or commit you to a pilot.
No. A deployment gate only controls the protected path where it is installed. Tests cover the cases they evaluate, and dependency discovery can be incomplete. A review needs to show these limits. Where a platform does not expose a reliable gate, TrueRook’s role would remain advisory.
That depends on the workflow. A first assessment would look at agent configuration, source changes, evaluation results, and deployment identity. The sources, permissions, content access, and retention would be agreed before connecting anything. Do not include confidential information in the interest form.