Process discovery and simplification
Map current steps, roles, approvals, data requirements and exceptions before choosing automation.
Review the process before automating it. Design Flow and declarative automation with clear entry conditions, ownership, fault paths, naming standards, transaction awareness and testable outcomes.
Connect requirements, entry conditions, decisions, updates, fault paths and operational ownership.
The best automation starts with a stable process and known exception paths. Avoid adding more flows until existing automation, entry criteria and dependencies are understood.
Map current steps, roles, approvals, data requirements and exceptions before choosing automation.
Define entry criteria, triggering records, update behavior, recursion risks and schedule assumptions.
Design validation, step progression, save/cancel behavior, accessibility and error messages for guided user tasks.
Map approvers, escalation, delegation, SLA timing, rejection paths and audit visibility.
Design failures for missing records, permission problems, unavailable integrations and partial processing.
Catalog active flows, legacy process automation, owners, duplicate logic, test evidence and retirement needs.
Technology choices should follow the business process and operating context. Capture constraints and failure behavior early so implementation teams know what “ready” means.
Reduce overlapping automation with documented process boundaries and ownership.
Make conditions, recurrence prevention, update scope and exit behavior testable.
Plan fault handling, safe retries, notifications and manual resolution for expected errors.
Use consistent names, descriptions, decision logging and documentation for future administrators.
Automation recommendations depend on the current org’s flows, triggers, Apex, managed packages and release model. Review dependencies before changing active production automation.
A consistent sequence makes dependencies visible and reduces the chance that data, integration, permissions or operational needs are discovered at the end of the project.
Document business outcomes, data dependencies, approvals, roles and exceptions.
Choose Flow or other platform mechanisms based on complexity and maintainability.
Test positive, negative, bulk, permission and integration scenarios in controlled environments.
Assign owners, document faults, review usage and remove obsolete automation safely.
Use these pages to connect cloud requirements, implementation work and ongoing operations into a clear delivery path.
Final scope depends on the products enabled in your Salesforce environment, access, architecture, licensing and acceptance needs.
Overlapping automation, unclear entry conditions and untested failure paths can make behavior hard to predict. Start with an inventory and dependency review before consolidating.
Some designs can invoke approved integration mechanisms, but the best approach depends on authentication, latency, retries, transaction limits and error handling.
Scope can include tests for entry conditions, updates, approvals, permission boundaries, fault paths and interactions with existing automation.
Salesforce product names, capabilities, licensing and implementation guidance evolve. Validate current platform requirements before finalizing scope.
Review current Flow concepts and implementation guidance.
Open Salesforce Help →Validate supported platform automation and API behavior.
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Share the Salesforce products involved, systems, business goal, current challenges and expected timeline. This helps frame a useful first discussion.