Governance for every org, including what Agentforce writes
A scanner finds things. Governance decides what happens next.
Detection is the easy half. The question that survives an audit is who decided this was the rule, who approved the exception, and which version was in force when the change was made.
Your rules, authored
Write the standard in plain English: your trigger framework, your naming, your sharing model. Your conventions, not a vendor’s opinion of them.
Approved and versioned
Rule changes go through review and carry a version. You can see what changed, who approved it and what the previous version said, with diffs and rollback.
Enforced identically
The same ruleset runs in the platform, in the editor, in the pull request and in the pipeline. One definition of good, not one per tool.
Exception on the record
A finding that does not apply is written off with a reason and an approver, and the decision propagates across every org. Nothing is quietly ignored.
That is the difference between a report you receive and a standard you operate.
Agentforce writes inside the loop. Your standard has to run there too.
Agentic development does not pause for code review. The agent proposes, the change is accepted, and the next one is already being generated. Governance that arrives after the commit arrives after the decision has been made.
agent proposes → Quality Clouds returns the applicable rules and the violations → agent corrects → change lands
The second step is the MCP hop, and it is the last point in the loop where your standard can still change the outcome. AI Agents, AI Topics and Prompt Templates are scanned configuration in their own right, so the agents your team ships are governed the same way the code is.
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