AI can suggest Salesforce changes quickly. Those suggestions are far more useful when there is a documented baseline of fields, permissions, and automation to reason from. A baseline does not slow AI down — it gives it, and you, something solid to stand on.
Read-only diagnostics · Review-ready workbooks · No package install · No Connected App
When an AI assistant suggests a Salesforce change, it reasons from whatever context it has at that moment. If that context is partial — a screenshot, a single object, a pasted export — the suggestion is only as good as that slice of the org.
A baseline closes that gap. It is a documented snapshot of how the org is configured now: fields and objects, permissions and FLS, and automation. With it, both the AI and the person reviewing its output are reasoning from the same complete picture.
A baseline is not bureaucracy. It is the shared reference AI suggestions are measured against.
Captured as workbooks, these three layers form a reference you can hand to a teammate, attach to a change plan, or compare against after the work is done.
Relevant Workbook
Capture the field-and-object layer of your baseline: utilization, fill rates, hidden populated fields, layout coverage, and record-type usage in one read-only XLSX workbook.
The value of a baseline shows up twice. Before change, it grounds the AI suggestion in the real org. After change, it gives you something to compare against:
KeelCadence does not replace AI assistants, the Salesforce CLI, MCP servers, Salesforce Optimizer, DevOps tools, or the admins, consultants, and architects making decisions.
A baseline is evidence that supports both people and AI. It does not make the decision; it makes the decision easier to ground, review, and confirm.
A baseline is a documented snapshot of how the org is configured right now: fields and objects, permissions and FLS, and automation. It gives anyone, including an AI assistant, a consistent reference for what exists before any change is proposed or made.
AI reasons from context. Without a documented baseline it relies on whatever it can read in the moment, which may be partial. A baseline gives the AI, and the human reviewing its output, the same shared evidence — so suggestions are grounded in what the org actually contains.
You can, but it is far more useful before. A baseline taken before change work gives you something to compare against afterward, so you can see what moved and confirm the change matched the intent.
No. KeelCadence does not replace AI assistants, the Salesforce CLI, MCP servers, Salesforce Optimizer, DevOps tools, or the admins, consultants, and architects making decisions. A baseline is evidence that supports both people and AI, not a substitute for either.
Run the read-only diagnostic workbooks for the areas you care about — fields and objects, permissions and FLS, and automation — and keep the XLSX output as your documented baseline. Each starts with a free on-screen summary.
Give your AI-assisted change work a solid reference. Start with the read-only Field & Object Audit to document the field-and-object layer of your baseline as a review-ready XLSX workbook. Free on-screen summary before purchase.
Read-only · No package install · No Connected App setup · No Salesforce writes
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