Use case: implementation
Requirements beside the org, builds that follow its conventions, sprints and releases tied to what shipped, and a governed path to go-live.
In one paragraph
Running a Salesforce implementation with SyncOnAI 360 means keeping requirements and decisions as pages beside the org, planning sprints and releases on a project board, building with the AI, agents and visual builders inside the org's conventions, and shipping through validated, approved proposals with receipts and rollback up to go-live.
01The problem
Requirements drift from what is built, builds drift from the design, and the go-live weekend is when everyone finds out.
Decisions from workshops never reach the build.
Each builder follows their own patterns.
Coverage, dependencies and data issues appear at go-live.
A bad go-live change has no prepared way back.
02requirements
Record workshops as transcripts, keep requirements and decisions as pages in the project wiki, and ask the chat to draft from them. Pages are cited when the AI answers, so the build stays tied to what was agreed.
03plan
A project has a board, backlog, sprints, roadmap and releases, with reports on one engine. Work items link to the deploys that delivered them, so progress reflects what actually reached the org.
04build
Org rules set the conventions, and the AI and specialist agents build inside them. Visual builders for Flows, Lightning pages, components and Apex explain before they edit, and the Canvas lens shows the data model as it grows.
05test
Every proposal runs named checks, including dependencies, deploy order and test coverage, and is validated against the target org. Deploy to sandboxes as you go and compare them with production before go-live.
06golive
Approve production proposals with a second admin, inside the policy's windows. Every deploy leaves a receipt with rollback to the recorded previous version, and results can post to Slack as they land.
07handover
Requirements, decisions and runbooks stay as pages beside the org, every change has a receipt, and the org stays synced, scored and explained. The support team inherits a documented, measured org rather than a folder.
08How it works
Requirements to go-live in one workspace.
Requirements and decisions as pages.
Sprints, releases and the roadmap.
AI, agents and builders inside conventions.
Checks, validation and sandbox deploys.
Approved deploys with receipts.
09Checklist
10Before and after
Without
With SyncOnAI 360
Requirements lost after workshops
Requirements cited during the build
Each builder's own patterns
Conventions enforced
Surprises at go-live
Checks and validation throughout
No way back
Rollback from every receipt
12Questions
Yes, as pages in the project wiki, including transcribed workshops.
It covers boards, sprints, releases and reports; teams that keep Jira can raise findings there.
It drafts against the org and can cite your pages; every draft is a proposal you review.
Yes, on the Canvas lens.
Every proposal with Apex runs a coverage check before deploy day.
Yes, from each deploy's receipt; data changes cannot be reversed.
Yes, every deploy result can post to a channel.
Yes. Every plan includes every feature.
Yes. Run the audit and keep the review; later reviews compare against it.
Yes. Each builds and proposes; production changes are approved by an admin other than the author.
Share health and audit reports as read-only links, and report delivery from the project's reports.
Yes. The AI and five specialist agents draft against the org, and every draft is a proposal you review.
Yes. Metadata can be compared between any two connected orgs.
As work items on the project board, with requirements and decisions in the project wiki beside them.
13Keep exploring
Connect your Salesforce org. Run your first health scan. Ask your first question. See what you've been missing.