How To Prepare Customer Support Workflows For AI Automation

AI is transforming customer service, promising faster responses, greater efficiency and more personalized support. But automating an inefficient or poorly designed process won’t necessarily improve the customer experience. In fact, it can amplify existing problems, turning everyday frustrations into larger issues that affect customer satisfaction and trust.

To realize AI’s potential, businesses need to look beyond the technology and consider whether their current support processes are ready for automation. Below, members of Forbes Technology Council identify customer service workflows companies should refine before introducing AI and explain how those improvements can lead to better outcomes for customers and businesses alike.

Consolidate And Clean Up Customer Data

Before automating customer service communications and routing, companies should clean up the customer and account data behind each ticket first. When contract terms, prior issues and account details are scattered across systems, an AI tool will give inconsistent or wrong answers. Consolidating and cleaning that information first keeps automated responses accurate once support work is handed to AI. - Micah Remley, Robin

Improve Customer Interaction Classification

Companies should improve customer interaction classification before automating it. AI can identify intent, sentiment, recurring themes and dissatisfaction risk at scale, but executives must define what happens next. High-risk cases should be flagged with context, routed to the right agent and escalated based on clear thresholds. Overall, automation should strengthen accountability, not remove it. - Dr. Vasudeva Akula, VOZIQ AI

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