How to choose your first AI use case in Salesforce
Choose a Salesforce AI use case with a clear owner, usable data and a result you can test. Compare candidates and define a practical first workflow.
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Practical answers for
your next AI decision.
Choose useful work. Understand the controls. Judge the value. Explore practical guides for bringing AI into your Salesforce team.
New to AI on Salesforce? Start with your first useful workflow
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16 practical guides. 4 topics to explore.
Salesforce Flow, an AI agent—or both?
Compare Salesforce Flow and AI agents by the work they do. See where fixed rules, interpretation and human review belong in one workflow.
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What happens to your Salesforce data when you use AI?
Trace Salesforce data through an AI workflow. Understand context, external processing, returned answers, retention and the questions to ask before approval.
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What does an AI workflow really cost?
Build a Salesforce AI cost model around completed work: subscription, consumption, implementation, review and exceptions. Includes an illustrative calculation.
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What a useful Salesforce AI sandbox pilot should prove
Define the scope, evidence and acceptance criteria for a Salesforce AI sandbox pilot. Decide what needs to work before planning production.
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Org-wide AI licensing: what it includes and what it does not
Understand REDA AI org-wide licensing, AI included and Bring your own AI. Separate the platform subscription, provider usage and Salesforce entitlements.
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AI configuration, integration and custom development: where each belongs
See which parts of a Salesforce AI workflow can be configured, which need integration and which need custom development. Clarify ownership before a pilot.
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Measuring an AI pilot without misleading ROI numbers
Measure Salesforce AI pilot quality, review effort, exceptions and cost. Separate staff capacity from cash savings with a transparent worked example.
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From a document to a reviewed Salesforce record
Design an AI-assisted document workflow that keeps source evidence, proposed values, corrections and the final Salesforce update clear to reviewers.
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AI confidence scores: useful signals, not guarantees
Learn how to interpret AI confidence scores in document review. Test calibration, source support and error consequences before using a threshold.
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From a property enquiry to a useful handoff with AI
Explore a Salesforce real-estate enquiry workflow that captures relevant context, uses current information and gives the team a useful human handoff.
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Who should decide? Human checkpoints in AI workflows
Design useful human checkpoints for Salesforce AI workflows. Distinguish advice, confirmation, approval and escalation—and test that each control works.
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Using Salesforce business workflows inside Claude through MCP
Understand how a configured REDA AI agent can bring Salesforce business workflows into Claude through MCP, with clear access, host and action boundaries.
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Website assistant or signed-in portal assistant? Access matters
Compare public website and authenticated portal AI assistants for Salesforce. Match information access, identity checks and permitted actions to the channel.
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Finding an AI starting point in Health Cloud administration
Identify a focused AI use case in Salesforce Health Cloud administration. Compare intake preparation, missing information and handoffs while preserving human decisions.
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From one AI pilot to the next business process
Decide what to reuse after a Salesforce AI pilot. Review evidence, ownership, permissions, cost and operational readiness before expanding to another workflow.
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