Call Center Automation With Voice AI: Where to Start

Consider a distraught customer calling their insurer after a tree falls on their car.

They need to report the damage, then get the car towed, and find out whether they can get a rental. Their policy number is in the glove compartment, now trapped under the tree. The whole situation is a total bummer.

The person answering needs another way to verify the caller, start the claim, and route questions they cannot answer to someone who can. What looked like routine intake now involves several jobs.

Choose your first call by how easily you can automate it. Choose your voice AI vendor by the hardest call you expect it to handle.

The first workflow is usually already written down#

Across the deployments we've reviewed, the strongest starting points are familiar jobs with a visible finish: a caller verified, a field retrieved, an appointment confirmed. The work is already happening. Much of the implementation is finding its instructions and connecting the systems behind it.

Those instructions live in phone trees, agent scripts, verification procedures, and the workarounds people use when the official process breaks down. A script says to ask for a policy number. The person taking calls knows what to do when the policy number is under a tree.

Follow one request from dialing to completion. Record what the employee collects, which systems they open, what they change, and where they need approval. If the process requires a second system and someone in accounting, include both in the deployment plan.

Start with frequent status questions when you can retrieve the answers. First notice of loss can speed up intake. With speed-to-lead calls, you reach someone who has asked to hear from the business and is still waiting. Choose a recurring task with a clear outcome and the access needed to finish it.

An easy first call can hide a vendor's limits#

Kin Insurance had spent months with an automation vendor that never reached production. With Bland, it reached production in three to four weeks, handling routine conversations in English and Spanish and routing complex cases to people. Compare vendors on time to production as well as call quality.

Bring the difficult call to the vendor meeting, even if it won't be the first call you automate.

Walk through the tree-on-the-car claim: no accessible policy number, a tow, a rental question, and a coverage question that needs a claims specialist. The agent needs an approved alternative for verification, somewhere to save the loss details, and a way to arrange the next step for the tow. It also needs to recognize that answering the coverage question is outside its authority.

Have the vendor show what works today, what needs an integration, and what the platform cannot support. The specialist receiving the handoff should already have the information collected.

A narrow pilot still needs enough calls#

We've seen a pilot run roughly sixty calls a month. Once those calls were divided by intent and outcome, there was too little evidence to estimate a transfer rate. An outbound program usually ran four to twelve calls a day, then ran 88 in one day and saw better numbers. With the larger sample, the team could see how much the earlier results depended on a handful of calls.

Your team needs enough calls to answer the question being tested. Agree on the outcomes and the number of observations needed for each, then check whether the proposed traffic will produce them.

For claims intake, success means completing the report, saving it to the correct record, and passing outstanding questions to the appropriate team. Test missing information and failed lookups as well as straightforward calls; NIST's evaluation guidance calls for conditions similar to deployment.

Record completion, repeat contacts, and remaining human work against the same task before launch; the voice AI ROI guide explains how those results become a financial case.

The first deployment doesn't have to solve everything for the customer with the crushed car. The platform you choose should have a credible path through the whole call, including the parts a person needs to handle.