AI Messaging Agents Turn After-Hours Calls Into After-Hours Revenue

The Takeaway

Invoca’s AI Messaging Agent now answers every after-hours call, qualifies intent in real time, books callbacks,
and deflects service questions, so the sales line stays focused on sales.

• 74% of after-hours callers engaged with the AI Agent
• 38% of engaged conversations converted into a scheduled callback, 80% of those were completed
• 68% of engagements were service inquiries, caught and redirected before reaching the sales line
• 28% opt-in offer rate, outperforming the 15 to 20% industry benchmark

Challenge

Broken appliances and burst pipes don't care about your office hours, and neither do your customers when they have an emergency. This leading home warranty provider knows this firsthand, as it frequently received after-hours calls that ended up hitting voicemail.

"The customer would call and leave information for us to call back the next day," said a senior manager.

This meant that current customers weren’t getting help when they needed it most, and high-intent new policy leads were going unanswered and unconverted.

Furthermore, agents were wasting time following up on unqualified leads that left after-hours messages. And since a large share of calls from existing customers were already landing on the sales line by mistake, the team was fighting an uphill battle to get the right conversations to the right people.

The business needed to be available around the clock without adding headcount, and without impacting service quality.

Solution

The company deployed Invoca's AI Messaging Agent to answer after-hours calls on its sales lines. Rather than a bot reading a script, the agent worked as a first line of triage. The agent was trained to:

• Answer every after-hours call, so a high-intent homeowner never hits silence or a generic voicemail
• Qualify intent and appropriately route sales vs service needs
• Book scheduled callbacks for leads who'd rather talk to a person the next morning
• Deflect service and account questions to self-service options
• Pass qualified leads back to the team with full context, so nobody has to repeat themselvesThe customer experience improvements were immediately apparent. "With the agent, I'm giving the customer a much better experience," says senior leadership. "The customer is feeling like, 'Great, I have an appointment, I'm talking to somebody, and they're going to take care of me.' So we can see that the experience is much better."

Not every completed call ends in a sale, and the team is candid about that.

"The reality is that many of these callbacks were actually existing customers or customers that were trying to look for some kind of service," the Sr. Manager says. "We have been able to complete the call. Granted, it was not a sale, but it's a much better experience for the customer."

Results

• 74% of after-hours callers chose to engage with the AI Agent rather than hang up
• 38% of engaged conversations converted into a scheduled callback, and 80% of those callbacks were completed
• 68% of engagements were service inquiries, not sales, caught and redirected by the agent to protect the sales line's time
• 28% opt-in offer rate, outperforming the typical 15 to 20% industry benchmark

Callers who once left a message and waited overnight now get an immediate response, a real answer to their question, and in many cases an appointment on the books before they hang up. Existing customers checking on a service issue walked away with actual help instead of a voicemail. That shift, from making customers wait to meeting them the moment they call, is the real story behind the numbers.

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