Ronda Borly

You call a company, explain your issue to the bot, get transferred, and explain it again. Then you message them on WhatsApp the next day and start from zero.

The fix isn't a smarter model. It's shared memory: past interactions, decisions and customer context stored in one place, available to every agent and every human with permission to see it. When a customer says "can we pick up where we left off?", the next conversation should already know where that was.

This turned out to be one of the hardest parts of our platform to get right, especially with permissions.

Have you seen a company do this well? Which product made you feel remembered?
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Our AI employees have names. Peter is an SDR, Kavya sells insurance, Arjun is a loan officer, Priya handles renewals.

We did it because customers found it easier to talk about "Peter's pipeline" than "the lead qualification workflow." Teams started treating the agents like colleagues with a job, which made it easier to define what each one owns.

Containment rate (the share of conversations the bot handles without a human) is the default AI support metric. We think it rewards the wrong thing. A bot can contain a conversation by never letting the customer reach a person.

With customers, we track the outcome instead: was the payment made, the policy renewed, the meeting booked, the issue resolved? One real estate customer cut outreach costs by about 70% and finished a month of calls in under a tenth of the time. That's a number a CFO cares about. Containment isn't.