Use case: safe deployment
Every change checked, validated against the org, approved by someone other than its author and recorded with a way back.
In one paragraph
Deploying safely with SyncOnAI 360 means every change is a proposal that runs named pre-flight checks and a validation against the target org, production waits for an approved proposal from a second admin where there is one, the deploy policy enforces freeze windows, and every deploy leaves a receipt with rollback.
01The problem
Most failed deploys were preventable: data discarded by a narrowed field, an access change nobody noticed, a dependency nobody checked, coverage that fell short.
Changes go to production because they worked in a sandbox.
The author approves their own work.
Deploys land during quarter end or a client freeze.
Reverting means rebuilding the old version by hand.
02checks
Destructive operations, security and access, field presence, cascading dependencies, deploy order and test coverage. Each returns pass, warn or fail with a plain reason, and the proposal carries an overall risk of low, medium or high.
03validate
After the named checks, the change is validated against the target org without saving anything, Salesforce's own validate-only deployment. The errors shown are real errors from the real org.
04approve
Production needs an approved proposal, and in a workspace with two or more admins the approver must be someone other than the author. A single-admin workspace can approve its own change, and the activity log records that it did.
05policy
The deploy policy sets freeze windows, required approvers and auto-approval for low-risk work. A policy can make deploys harder but can never let through a change that failed its checks or was rejected.
06record
A receipt: what changed, the request behind it, the checks, who approved it and when, and the version of each component recorded before. Roll back from the receipt; components the deploy created are removed separately and data changes cannot be reversed.
07ai
Changes the AI or the agents draft go through exactly the same path as hand-built ones: a proposal with named checks, validation against the org, approval for production, and a receipt that records the request that produced the change.
Anything that would change records directly, such as anonymous Apex, waits for a person to press Allow, because data changes cannot be rolled back.
08How it works
The same path for every change.
Build or describe the change.
Read the named checks and risk.
Validate against the target org.
A second admin approves production.
Deploy with a receipt and rollback.
09Checklist
10Before and after
Without
With SyncOnAI 360
It worked in the sandbox
Validated against the target org
The author approves
A second admin approves
Deploys at quarter end
Freeze windows enforced
Rebuilding the old version
Rollback from the receipt
12Questions
Yes, after validation against the org and approval.
No. A change that fails a check cannot deploy, whatever the policy says.
No. Members can deploy to sandboxes freely.
Salesforce's reason is shown, and Fix in chat opens the conversation with the error.
Yes, on its receipt.
No. It restores recorded metadata.
Yes. Every deploy result can post to a Slack channel.
Yes. Every plan includes every feature.
Yes. Promoting a proposal to production brings it under the production org's policy and approval.
The checks, risk, policy decision, affected components and a before and after of every file.
One of the named checks: it confirms the components in a change will deploy in an order Salesforce accepts.
Auto-approval rules can approve low-risk work, but never a change that failed a check.
13Keep exploring
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