Two agents at the same agency top the production report almost every month. One spends the first ten minutes of each call on family, health, and current coverage before mentioning a price. The other quotes early, works backward through objections, and closes at nearly the same rate.
A new hire joins and is told to listen to how they do it. Which of the two approaches should the new agent copy, and how would anyone know whether the copying is working?
Many agencies would struggle to answer, because the definition of a good call lives in the heads of the top producer and the trainer. An AI sales coaching platform for insurance can score every call an agent makes, but only against a standard that has been written down.
Why "listen to the top producer" stops scaling
Shadowing works when a floor has a handful of agents and a manager with time to sit beside each one. It strains as the team grows, because each top producer teaches a personal style, and a new agent has no way to separate the habits that drive results from the habits that are simply familiar.
The trainer's version of a good call may differ again. Without a shared definition, feedback can depend on who happened to hear which recording, and two managers may coach the same agent in opposite directions.
What an insurance playbook contains
A playbook is a written description of a good call, specific enough that two reviewers would score the same conversation the same way. For insurance sales, it usually covers four areas.
The first is needs analysis, meaning the questions about health, dependents, existing policies, doctors, and budget that should come before any quote. The second is coverage explanation, or how plan options, premiums, and exclusions get described in plain language.
The third is required disclosures and approved language, which the compliance team defines. The fourth is next steps, such as booking the application call or confirming what the client will receive and when.
The strongest playbooks tend to be modeled on what top agents already do. The differences between their styles get resolved into one standard the whole team can learn, with each agent's personality left intact around it.
Scoring against the playbook
Once the standard exists, software can check every call against it, which manual review rarely manages. A manager sampling a few recordings per agent each month sees fragments, while a fully scored call log can show patterns across hundreds of conversations.
Alpharun, for instance, builds a playbook from the behaviors linked to a team's successful calls, scores every call against it, and converts the patterns it finds into weekly priorities for each agent.
A scored log can also settle the opening puzzle. If both top agents ask the same needs analysis questions and deliver the same disclosures, their different styles may matter less than the shared behaviors underneath, and the new agent can be coached on those first.
Narrowing coaching to one behavior
A single scored call can surface a dozen gaps, and an agent handed all twelve may change none of them. Coaching tends to work better when it narrows to one or two behaviors per agent, such as asking about current medications before comparing plans.
Progress then shows up where it counts, on the agent's later calls. If the targeted behavior appears more often over the following weeks, the coaching is likely working; if it stays flat, the approach or the standard itself may need another look.
This narrower rhythm also changes the manager's job. Coaching conversations can get shorter and more concrete, because both sides are looking at the same behavior and the same evidence.
When the playbook also runs AI agents
The same written standard can govern more than human agents. Agencies can now use AI voice agents to handle after-hours intake, capture a caller's basic needs, and route them to a licensed agent.
Those voice agents need the same definition of a good call that human agents do, or the agency ends up running two standards. Alpharun's voice agents, for example, follow the team's playbook and are scored against the same standards as the human agents, so both can be evaluated on one scale.
A principle for agency leaders
Before comparing coaching software, it may help to ask a plainer question: could the agency hand a new agent a written description of a good call today?
If the answer is no, that document is the first project. A coaching program is only as good as the standard it coaches to, and the standard has to be written down before any software can help.