When AI Handles the Transaction, Who Builds the Relationship?

𝗪𝗵𝗲𝗻 𝗔𝗜 𝗵𝗮𝗻𝗱𝗹𝗲𝘀 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻, 𝘄𝗵𝗼 𝗯𝘂𝗶𝗹𝗱𝘀 𝘁𝗵𝗲 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽?

That question was on my mind while preparing for October's AI Roundtable about autonomous AI agents.

Consider a customer who contacts a company with a complaint. During the conversation, an employee learns that the customer is expanding into a new market, struggling with a competitor, or experiencing an internal leadership change.

The employee resolves the complaint but also recognizes an opportunity to strengthen the relationship, offer additional help, or share valuable information with colleagues.

Now imagine an autonomous AI agent handles the entire interaction. It identifies the problem, authorizes a solution, updates the customer record, and responds to the customer.

Fast. Accurate. Efficient. But what happens to everything else we might have learned?

An executive client I worked with repeatedly expressed frustration about an employee's performance. Through several conversations, he realized his own management approach contributed to the problem. Once he recognized the pattern and became more direct and specific with the employee, things improved.

The original conversation was about an employee's performance. The greater value came from discovering what was happening beneath the surface.

𝗛𝗼𝘄 𝗺𝘂𝗰𝗵 𝗼𝗳 𝘁𝗵𝗮𝘁 𝗸𝗶𝗻𝗱 𝗼𝗳 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 𝘄𝗶𝗹𝗹 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗼𝘀𝗲 𝗶𝗳 𝘁𝗵𝗲𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲𝗶𝗿 𝗳𝘂𝗹𝗹 𝘃𝗮𝗹𝘂𝗲?

💡This month's AIR conversation reinforced my concern that organizations may be evaluating the efficiency of AI agents without fully considering the relationships, organizational knowledge, and unexpected insights that develop through human interaction.

This extends to customers, employees, suppliers, and other stakeholders. Those relationships influence retention, trust, collaboration, and ultimately business performance.

🔎As AI agents gain authority to act independently, companies need to make thoughtful decisions about where human involvement creates value, how important insights will be captured, and who is accountable for those decisions.

These are executive leadership questions that require perspectives well beyond IT.

Thanks to everyone who joined. Your perspectives added important dimensions to a conversation that will continue.

AI agents offer tremendous potential to improve productivity and service. I'm excited about what they can make possible.

💡𝗕𝘂𝘁 𝗯𝗲𝗳𝗼𝗿𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲 𝘁𝗵𝗮𝘁 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗰𝗿𝗲𝗮𝘁𝗲𝘀. 𝗦𝗼𝗺𝗲 𝗼𝗳 𝗶𝘁 𝘄𝗶𝗹𝗹 𝗻𝗲𝘃𝗲𝗿 𝗮𝗽𝗽𝗲𝗮𝗿 𝗼𝗻 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱.

𝗔𝗻𝗱 𝘀𝗼𝗺𝗲 𝗼𝗳 𝗶𝘁 𝗺𝗮𝘆 𝗯𝗲 𝗺𝗼𝗿𝗲 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝘁𝗶𝗺𝗲 𝘀𝗮𝘃𝗲𝗱. 💥

🚀 About the AI Roundtable (AIR)
The AI Roundtable is the monthly platform for harnessing the power of artificial intelligence to advance your business, team, career—and life! All are welcome! 💖

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