Automation Strategy
7 Business Processes to Automate First
The best first automation is rarely the most impressive demo. It is the repeated process that consumes time, creates avoidable mistakes, and follows rules your team can explain clearly.
How to Choose the Right First Workflow
Start with volume, repetition, delay, error risk, and business impact. A good candidate happens often, follows a stable sequence, has a clear owner, and produces an outcome that can be measured.
1. Lead Capture and Assignment
Bring enquiries from forms, ads, email, and chat into one pipeline. Validate the data, remove duplicates, assign an owner, and create the first follow-up task automatically.
2. Sales Follow-Up
Use stage changes and buyer actions to trigger timely reminders, useful messages, and escalation rules. Keep a person in control when the conversation needs judgment.
3. Client Onboarding
Convert a signed agreement into a repeatable checklist: collect documents, create folders and projects, send welcome information, and notify the delivery team.
4. Reporting and Data Reconciliation
Pull agreed metrics from the systems that own them, normalize the data, and deliver a scheduled report with clear exceptions instead of manual copy-and-paste work.
5–7. Support Routing, Approvals, and Reminders
Categorize incoming requests, route approvals to the right person, and schedule recurring reminders. These workflows create value quickly because their rules and handoffs are usually visible.
A Practical Starting Point
Document one workflow from trigger to outcome, measure its current effort and failure points, then automate the smallest dependable version. Expand only after the team trusts it.
How this guide was prepared
This guide was prepared and reviewed by the Slarivo Editorial Team. It combines practical automation experience with established guidance for responsible AI implementation.
- NIST AI Risk Management Framework
A practical reference for identifying and managing risks across the AI system lifecycle.
- OECD AI Principles
International principles for trustworthy, human-centred AI systems.
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