The best automation candidates are frequent, rule-driven, measurable, and frustrating for the people doing them. The list below is a starting point, not a mandate: each process still needs an owner, reliable inputs, and an exception path.
What actually matters
Score each candidate by frequency, minutes per case, delay, error impact, rule stability, data availability, and exception rate. Start where value is visible and operational risk is manageable.
Factors to evaluate
Approvals
Route requests by value, department, risk, and availability while preserving an audit trail.
Data synchronization
Keep approved records aligned between CRM, ERP, ecommerce, and reporting systems.
Customer and employee onboarding
Coordinate tasks, documents, access, reminders, and completion evidence.
Recurring reporting
Collect validated data, generate reports, and notify owners on a schedule.
Document generation
Create consistent documents from approved records and templates.
Lead and order routing
Assign work using territory, capacity, product, priority, or service rules.
Exception alerts
Notify the right owner when thresholds, deadlines, or data quality rules fail.
A practical next step
Write down the current workflow, people involved, records exchanged, exceptions, and the decision that a better system should improve. That evidence gives a development team enough context to challenge assumptions and define a credible first release. Learn more aboutbusiness process automation.
Avoid a false shortcut
Do not automate sensitive approvals or customer decisions without explicit authority, logging, review thresholds, and a way to reverse or correct the outcome.
Frequently asked questions
Can all seven processes use one tool?
Sometimes, but tool consolidation is not the objective. Reliable ownership and data flow matter more than the number of products.
Turn the question into a clear project decision
Share the workflow, constraints, and outcome you need. We can help define a responsible technical path without inventing scope or promising certainty before discovery.