SyncOnAI360

For release managers

Release week without the chasing.

Every Salesforce change arrives as a proposal with its checks, its blast radius and its approvals already attached, and leaves a receipt you can roll back from.

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Proposal: Case intake fault handling

Acme Production

Checks passed
  • Validated against the org without changing it
  • No component outside the change is modified
  • Apex tests pass, coverage 81%
  • No freeze window in effect
  • Policy: production requires a second admin

Blast radius

  • 2 Flows read Case.Priority
  • 1 report filters on it
  • Case_Intake_Route assigns from it

Risk: medium

In one paragraph

SyncOnAI 360 for release managers puts every Salesforce change on one governed path. Each proposal carries named pre-flight checks, the components it affects and a validation against the target org; production needs a second admin's approval; a deploy policy sets freeze windows; and every deploy leaves a receipt with rollback.

Path to production for every change
1Path to production for every change
People on every production change in multi-admin workspaces
2People on every production change in multi-admin workspaces
Affected components named on each proposal
12Affected components named on each proposal
Deploy leaves a receipt with rollback
EveryDeploy leaves a receipt with rollback

01The problem

Why Salesforce release management turns into detective work

Most Salesforce releases are assembled by asking people what they changed. Changes arrive from Setup, from change sets, from an IDE and now from AI tools, and the release manager is the one person expected to know what all of them do.

  1. 01

    Changes from everywhere

    Admins in Setup, developers in an IDE, contractors in their own sandboxes, AI in a chat window. Each route has its own record, or none.

  2. 02

    Approval without context

    An approver is shown a list of files and asked to say yes, with no view of what the change touches or whether it has been validated.

  3. 03

    Side-door production edits

    A quick fix made straight in production is overwritten by the next release, and nobody knows until a user complains.

  4. 04

    No reliable undo

    When a release misbehaves, the way back is rebuilding the old version by hand under pressure.

02path

How does every Salesforce change reach one release path?

Whether a change is drafted by the AI, built on the Flow, Lightning page, component or Apex builders, or asked for in the chat, it becomes a proposal: the files, a before and after view of each one, and the request that produced it. Nothing reaches an org any other way.

Members can deploy to sandboxes freely so teams keep their pace. Promoting a proposal to production brings it under the production org's policy, so the release manager governs one path rather than policing several.

  • AI, builders and chat all produce proposals
  • Before and after for every file
  • Sandboxes free, production governed

Proposal: Case intake fault handling

Acme Production

Checks passed
  • Validated against the org without changing it
  • No component outside the change is modified
  • Apex tests pass, coverage 81%
  • No freeze window in effect
  • Policy: production requires a second admin

Blast radius

  • 2 Flows read Case.Priority
  • 1 report filters on it
  • Case_Intake_Route assigns from it

Risk: medium

03checks

What does a release manager see before approving?

Each proposal runs named pre-flight checks: destructive operations that would discard data, security and access changes, field presence, cascading dependencies, deploy order and test coverage. Every check returns pass, warn or fail with a plain reason, and the proposal carries an overall risk of low, medium or high.

The change is then validated against the target org without saving anything, so the errors shown are Salesforce's own. Up to twelve affected components are named, automation and validation first and access grants last, so the approval is about real consequences.

  • Six named checks with plain reasons
  • Validation against the target org
  • Blast radius named on the proposal

Proposal: Case intake fault handling

Acme Production

Checks passed
  • Validated against the org without changing it
  • No component outside the change is modified
  • Apex tests pass, coverage 81%
  • No freeze window in effect
  • Policy: production requires a second admin

Blast radius

  • 2 Flows read Case.Priority
  • 1 report filters on it
  • Case_Intake_Route assigns from it

Risk: medium

04policy

How do freeze windows and approval rules work?

The deploy policy sets freeze windows when deploys are blocked, required approvers for certain changes, and auto-approval for low-risk work. Each proposal explains which rule applied to it, so nobody has to guess why a deploy is waiting.

Production needs an approved proposal, and when a workspace has two or more admins the approver must be someone other than the author. A policy can make deploys harder; it can never let through a change that failed its checks or was rejected.

  • Freeze windows and required approvers
  • Maker-checker for production
  • No rule can override a failed check

Proposal: Case intake fault handling

Acme Production

Checks passed
  • Validated against the org without changing it
  • No component outside the change is modified
  • Apex tests pass, coverage 81%
  • No freeze window in effect
  • Policy: production requires a second admin

Blast radius

  • 2 Flows read Case.Priority
  • 1 report filters on it
  • Case_Intake_Route assigns from it

Risk: medium

05drift

How do you catch changes made outside the release?

Every audit reads the last thirty days of the org's Setup Audit Trail. Change checks flag production changes made outside the deploy pipeline, validation rules that were recently deactivated, and a single user making an unusually high number of changes.

Before a release, compare metadata between a sandbox and production, or between snapshots of the same org, to see exactly which components differ and avoid overwriting a fix that went in another way.

  • Side-door changes raised as findings
  • Compare orgs before a release
  • Compare snapshots over time

Acme Production

Org health · synced 4 minutes ago

82

Health · B

Health

82

Confidence

74

Coverage

91

Apex coverage 78%, from the org's last test run

  • 3 Flows on Case run on the same trigger
  • 11 Apex classes below 75% coverage
  • Managed package source hidden by Salesforce: 2 packages

06record

What is left behind after a release?

Every deploy leaves a receipt: what changed, the request behind it, the checks and their results, who approved it and when, and the version of each component recorded before the deploy. Roll back from the receipt and those versions are redeployed; production rollbacks need an admin.

Rollback does not delete components the deploy created and cannot reverse data changes, and the product says so plainly. Work items on project boards link to the deploys that delivered them, and the activity log records deploys, refreshes and settings changes across the workspace.

  • A receipt for every deploy
  • Rollback to the recorded version
  • Work items linked to deploys
  • Workspace activity log

Proposal: Case intake fault handling

Acme Production

Checks passed
  • Validated against the org without changing it
  • No component outside the change is modified
  • Apex tests pass, coverage 81%
  • No freeze window in effect
  • Policy: production requires a second admin

Blast radius

  • 2 Flows read Case.Priority
  • 1 report filters on it
  • Case_Intake_Route assigns from it

Risk: medium

07How it works

A release on SyncOnAI 360

From many contributors to one recorded release.

  1. 01

    Build in sandboxes

    Contributors propose and deploy to sandboxes as they work.

  2. 02

    Compare

    Check what differs between the sandbox and production.

  3. 03

    Review

    Read the checks, risk and blast radius on each proposal.

  4. 04

    Approve

    A second admin approves production inside the policy's windows.

  5. 05

    Record

    Each deploy leaves a receipt, ready to roll back.

08Before and after

Release management, chased versus governed

Without

With SyncOnAI 360

Asking people what they changed

Every change arrives as a proposal

Approving a list of files

Approving checks, risk and blast radius

Freeze windows in a calendar invite

Freeze windows the deploy path enforces

Side-door edits found by users

Side-door edits raised as findings

Rebuilding the old version by hand

Rollback from the receipt

09Who uses it

Who you work with on a release

Salesforce adminsBuild and propose configuration changes, see the checks on their own work before it reaches you, and approve each other's production changes.Salesforce developersPropose Apex and components with their tests, see coverage checked before deploy day, and fix forward from Salesforce's own errors.Delivery managersSee work items close when the deploy that delivered them succeeds, and report on releases from receipts.Auditors and IT leadersAnswer who approved what and when from receipts and the activity log, without asking the release manager.

10Questions

Frequently asked questions

It gives release managers one governed path for every change: proposals with named checks and validation, maker-checker approval, a deploy policy with freeze windows, receipts and rollback.

Yes. The deploy policy sets freeze windows when deploys are blocked, and each proposal explains which rule applied.

Admins. When a workspace has two or more admins, the approver must be someone other than the person who made the change.

For changes made through SyncOnAI 360, yes: they deploy through the Salesforce Metadata API after validation and approval. It does not import existing change sets.

Yes. The audit reads the Setup Audit Trail and flags production changes made outside the deploy pipeline.

Yes. Metadata can be compared between orgs or between snapshots of the same org.

It redeploys the version of each component recorded before the deploy. It does not delete components the deploy created and cannot reverse data changes.

Audit findings can be raised as Jira Cloud issues, with status checked back on demand. It is not a two-way sync.

Yes. Every plan includes every feature.

Salesforce's reason is shown on the deploy, and Fix in chat opens the conversation with the error so the change can be corrected and proposed again.

No. Members can deploy to sandboxes freely; production needs an approved proposal, so teams keep their pace where it is safe.

No. Rolling back production needs an admin, the same as approving it, and a deploy can only have one rollback in progress at a time.

11Keep exploring

Related

Pre-flight ChecksNamed checks before anyone approvesApproval GatesMaker-checker and deploy policyDeploy ReceiptsA full record behind every deployRollbackBack to the recorded previous versionSafe ChangeValidate, approve, deploy, roll backChange HistoryWhat changed, when, and by which route

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