Direct answer

Capture code-review evidence while engineering work is being reviewed.

Connectory keeps the reviewed revision, findings, policy result, reviewer actions, and available organization context together. Your GRC team can inspect that record and decide which parts belong in a specific evidence request.

Evidence source
Pull requests, AI review findings, policy logs, and exception approvals.
Program use
Your GRC team decides how each record applies to its requirements.
Review output
Findings, policy decisions, reviewers, and revision context in one view.
For Compliance & GRC Teams

When the Auditor Asks How You Govern AI Code, Show the Review Record

Connectory keeps policies, engineering decisions, pull-request findings, and reviewer actions in an organization-level record. Your GRC team can inspect that history in the dashboard without working from a developer tool.

Traceablepolicy and review decisions by pull-request revision
Policy Decision History
Organization-Level View
Pull-Request Evidence
Reviewer Accountability

Why AI-Assisted Code Is Hard to Evidence

The final commit is only part of the story. You also need to know which policy applied, what the reviewer found, and who approved an exception.

Approvals Do Not Explain the Decision

A pull-request approval tells you who clicked approve. It may not preserve the policy, finding, exception rationale, or organization decision that shaped the review.

Evidence Lives Across Too Many Systems

Engineering decisions, repository settings, findings, and approval conversations often live in different places. Reconstructing them later means asking engineers to explain work that has already moved on.

AI Review Needs an Explicit Process

Your organization decides how AI-assisted changes should be reviewed. That process is easier to follow when the policy is available during review and each exception retains an owner and rationale.

Make Code-Review Evidence Part of the Workflow

Connectory records the context and decisions produced during review, giving GRC and engineering a shared view of how a change moved toward merge.

Org Dashboard

A Shared View Across Connected Repositories

Use the Org Dashboard to examine policies, findings, ownership, open questions, and decision history across the repositories available to your organization.

SlopBuster

Structured Findings at the PR Level

SlopBuster reviews the captured pull-request revision and returns structured findings with file and line context. The review record shows what the service analyzed and the conclusion it reported.

Guardian

Merge Decisions With Named Owners

Guardian reports whether a pull request meets your configured review threshold. Pair the check with GitHub branch rules and keep the owner and rationale with any accepted exception.

Org Dashboard

Evidence Review Without an IDE

Compliance staff can read organization context and review history from the dashboard. Use that record to answer evidence requests and identify gaps that still need a person or source system.

Connect Review Evidence to Your Existing Program

Keep your existing governance model. Add a clearer record of the policies, findings, and decisions produced during code review.

1

Choose the Review Questions That Matter

Identify the repositories, change types, findings, and approval paths your program needs to inspect. Start with a narrow scope that your engineering and GRC teams can validate together.

2

Configure Policy Rules That Enforce Your Control Requirements

Express the agreed thresholds and required checks in Guardian and GitHub branch rules. Assign an owner and rationale when those rules change.

3

Capture Evidence During Pull-Request Review

For each connected pull request, SlopBuster records its findings and Guardian reports the configured policy decision. Reviewer actions remain associated with the change under review.

4

Review the Record and Resolve Gaps

Use the dashboard to review decisions for the period and identify missing owners, unanswered questions, or evidence that belongs in another system. Your team remains in control of the final audit package.

A More Useful Review Record

Bring code-review evidence into one place without turning every evidence request into a repository investigation.

Policy

Keep the applicable review rule and its decision history visible.

Finding

Retain structured review findings against a specific code revision.

Owner

Connect approvals and accepted exceptions with accountable people.

Context

Give GRC and engineering the same organization-level source material.

See the Code-Review Record Your Program Can Use

Bring a representative review policy and one evidence request. We will show how Connectory records findings, policy decisions, owners, and organization context around a pull request.

Frequently asked questions

What code-review evidence does Connectory capture?

Connectory records the reviewed pull-request revision, structured findings, the Guardian policy result, and the organization context used during review. Reviewer actions and accepted exceptions can remain connected to that change.

How can a GRC team use the review record?

GRC staff can inspect policies, findings, owners, decisions, and open questions from the organization dashboard. They can then select the records relevant to an evidence request and identify information that still belongs in another system.

Does Connectory decide whether evidence meets an audit requirement?

Your compliance team and auditor decide how a review record applies to a requirement. Connectory supplies the code-review context and decision history they can evaluate.

Does Connectory replace the rest of audit preparation?

Connectory focuses on the code-review portion of the evidence trail. Access reviews, infrastructure records, vendor evidence, and other program artifacts continue to come from their source systems.