AI AGENT CHANGE MANAGEMENT

Review agent changes
before production.

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.

Release reviewIllustrative example

Sales quote agent

The discount limit changed.

Discounts above 5% now need a manager’s approval. Does the agent follow the new rule?

Previous rule

Up to 10% off
without approval

New rule

Up to 5% off
without approval

Release blocked

The agent offered 10% off
without asking for approval.

One required check failed. Deployment has not begun.

Checks completed
3
Passed
2
Failed
1
See what changed and why the test failed

Fictional policy, quote, and test results.

THE WORK BEHIND A RELEASE

The hard part is knowing
what needs checking.

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.

01

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.

02

Do the results cover the new behavior?

A test suite can pass overall while missing an approval rule, an access restriction, or a business-critical failure.

03

Does the approval match what went live?

A review can become outdated when a prompt, model route, or deployment configuration changes after approval.

A SALES QUOTE EXAMPLE

The discount limit drops to 5%.
The agent still offers 10%.

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.

From a new rule to a failed check

Select a step to see what it means for this release.

Illustrative example

New rule: get approval for any discount above 5%.

Static view

WHAT THIS STEP MEANS

The rule changed from 10% to 5%

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

The check that failed

Customer asks for
A 10% discount
Expected response
Ask a manager for approval
Agent’s response
Offers 10% without approval

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.

A quote that used to be allowed now needs approval.

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

Useful records for the people
making the release decision.

01

An impact report

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.

02

A release review

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.

03

A deployment check

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.

See what belongs in the release record

WHERE TRUEROOK FITS

Connect the review to
the tools you already use.

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.

Your existing toolsWhere the work happens

Source & configuration

Code, prompts, models,
tools, and data changes

Tests & monitoring

Results, failed cases,
traces, and outcomes

Deployment system

Builds, rollout state,
and the serving version

Change details Test evidence Deployment state
TrueRookConnect the evidence to a release decision
01

Assess impact

Known consumers
and missing coverage

02

Review the release

Tests, business rules,
approval, and exceptions

03

Verify deployment

Approved version
versus observed version

Optional gate in your deployment pipeline
The customer’s protected executor checks authorization before deploying.

Proposed architecture. Solid connections carry evidence. The optional gate requires a separate, protected control in the customer’s deployment path.

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.

Read the integration and deployment details

PRODUCT FOCUS

Start with change review.
Follow the result into production.

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 approach

GET IN TOUCH

Tell us what you’re
running and what’s difficult.

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.

What a useful first conversation covers

  • Which agent you operate and what it does.
  • A recent change that was difficult to test or review.
  • Where the evidence lives and who approves the release.

QUESTIONS

Before you
get in touch.

Who is TrueRook for?

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.

How does this fit with our evaluation and monitoring tools?

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.

Can we try it now?

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.

Will it block every unsafe change?

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.

What would you need from our systems?

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.