Use case: release review
See what differs between environments, what each change touches, whether it validates and who approved it, in one place.
In one paragraph
Reviewing a Salesforce release with SyncOnAI 360 means comparing the sandbox with production, reading each proposal's named checks, risk, blast radius and validation, approving inside the deploy policy's windows, and keeping a receipt for every deploy with the work items it delivered and its rollback.
01The problem
A change advisory meeting reviews a list of tickets. What actually differs between environments, and what each change touches, is rarely on the screen.
The review sees descriptions, not metadata.
Production has changed since the sandbox was refreshed.
Nobody can say what else each change affects.
The record of the release is assembled later.
02compare
Compare metadata between the two orgs to see exactly which components differ. The audit flags production changes made outside the deploy pipeline, so drift is visible before the release overwrites it.
03each
Each proposal shows a before and after of every file, the named checks with pass, warn or fail, the overall risk, the policy decision and up to twelve affected components, with a validation against the target org.
04approve
Production needs approved proposals, from a second admin where there are two or more. The deploy policy's freeze windows and required approvers apply, and each proposal explains which rule applied.
05work
Work items on project boards link to the proposals and deploys that delivered them, so the release can be read as the list of work it completes, and the board shows what actually shipped.
06record
A receipt for every deploy, with the request, checks, approver and time, and rollback to the recorded previous version. Deploy results can post to Slack as they happen, and the activity log records deploys across the workspace.
07drift
Whether production has changed since the release was built. Compare the sandbox with production, and read the audit's change checks for side-door edits and recently deactivated validation rules. A release built on a stale sandbox can overwrite a fix nobody recorded.
Then work through the proposals by risk, high first, reading each one's checks and affected components.
08How it works
Before, during and after.
See what differs between sandbox and production.
Read each proposal's checks and blast radius.
Approve inside the policy's windows.
Ship with receipts and Slack results.
Point the release report at receipts.
09Checklist
10Before and after
Without
With SyncOnAI 360
Reviewing ticket descriptions
Reviewing the actual changes
Drift found after release
Environments compared first
Blast radius unknown
Affected components named
Evidence assembled later
Receipts as the release happens
12Questions
Yes. Metadata can be compared between orgs or between snapshots.
Yes. The audit flags production changes made outside the deploy pipeline.
Before and after per file, checks, risk, policy decision, affected components and validation.
Yes, with freeze windows in the deploy policy.
Work items link to the deploys that delivered them.
Yes, every deploy result can post to a channel.
Releases are planned on project boards; each proposal deploys and is recorded on its own.
Yes. Every plan includes every feature.
Yes. The audit flags validation rules that were recently deactivated.
Admins; in multi-admin workspaces, someone other than each change's author.
Yes. Reviewers read each proposal's checks and blast radius and approve in the workspace.
Yes. Each proposal and receipt records the request that produced the change, which matters most for AI-built work.
Yes. A freeze window in the deploy policy blocks deploys until it ends.
The comparison and audit work for any org; the checks, approval and receipts apply to changes shipped as proposals.
13Keep exploring
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