Written by Jordan French

Only 8,29% of independent U.S. insurance agencies use artificial intelligence regularly and as part of a deliberate strategy, even though most plan to expand its use within the next year. The industry isn’t short on new tools; what it lacks are systems that can be built into daily operations and tied directly to sales, employee performance, and financial results. That’s the problem Vadym Shashkov, co-founder and CTO of Superagent AI, set out to solve. The platform he built lets AI agents take over repetitive tasks in sales, training, and service, freeing up licensed staff to focus on work that requires real professional judgment. We spoke with Vadym Shashkov about what this approach means for handling inbound inquiries, preparing new hires, and driving sales results.

How Superagent AI Works

Superagent AI, a platform for automating sales and service at independent insurance agencies, was publicly unveiled at the InsureTech Connect industry conference in 2025. It’s a system built around nine specialized AI agents, including an Inbound AI Agent and Outbound AI Agent for call handling, a Training Agent and Live Call Agent for preparing and supporting staff, a Retention AI Agent for policy renewals, and an Analytics AI Agent for performance analysis.

“All the agents share a common context and pass information to each other as a deal progresses. Some gather initial information, others train new specialists, and others stay involved in ongoing customer service,” says Vadym Shashkov.

AI handles the tasks that can be standardized. Specialists still handle coverage consultations, explaining terms and exclusions, complex requests, and anything the law requires a human to do.

Answering Clients Around the Clock

An agency’s team can only do so much within business hours and current capacity. During peak periods, evenings, and weekends, some inquiries inevitably go unanswered. One of Superagent AI’s nine agents, the Inbound AI Agent, handles inquiries around the clock and conducts the initial conversation with the client.

It identifies the reason for the call, asks follow-up questions, gathers the necessary information, and determines whether the client is ready to discuss buying a policy. The system can then schedule a meeting or transfer the call to a live specialist, passing along the information it’s already collected so the client doesn’t have to repeat themselves.

“At one agency, during high-volume periods, around 20 to 30 inbound inquiries a month were going unhandled. AI started picking them up around the clock, so the agency didn’t need to create a separate night shift,” Shashkov says.

To make the system reflect the specifics of insurance sales, the models are fine-tuned on real calls from the most effective specialists. The AI learns to ask the right follow-up questions, comply with required disclosures, and handle objections without pressure. New conversations feed back into the training loop, so over time the system gets better at reading client intent and choosing how to steer the conversation.

The result is fewer unanswered inquiries after hours, without having to change the in-house team’s schedule. A human specialist steps in after the AI agent’s initial screening, already armed with the information it gathered.

Getting New Agents to Sales Faster

A fast response to an inquiry doesn’t guarantee a sale — the outcome still depends on how confidently the employee carries the conversation forward. New hires need to learn to identify client needs, explain policy terms, handle objections, and know when to move to the next stage of the deal. Often they end up learning these skills on live calls, where a mistake can cost the agency a sale.

The Training Agent lets new hires prepare for these conversations in advance. During training, it plays the role of a live client with its own circumstances and objections, then breaks down the employee’s performance afterward and points out mistakes. It can run the same scenario repeatedly until the new hire learns to handle it with confidence.

“We built the Training Agent for insurance agents to practice on their own, and the Live Call Agent to support them on real calls. The second system evaluates what the employee is doing during the conversation and suggests the next move,” Shashkov explains.

Employees first work through difficult situations in a safe environment, then get real-time prompts once they’re talking to actual clients. Training and live support form a continuous pipeline, and the need for prompts fades as employees gain experience.

Shashkov points to the experience of insurance agency RightSure as an example of what this approach can deliver. After adopting Superagent AI, the time for a new hire to reach full productivity dropped from seven to nine months down to about two and a half weeks, and conversion rates for new agents rose 151%.

Selling More Without Growing Headcount

Faster onboarding helps an agency grow, but every team eventually hits a ceiling. As inquiry volume increases, workload eventually reaches a point where further growth requires more resources. AI pushes back the need to hire, by getting more out of the team that’s already there.

At Farmers Insurance’s Silicon Valley office, for instance, the conversion rate from prepared insurance quotes to actual sales rose 40% within three weeks of using the Superagent AI platform. A larger share of quotes ended up converting into policies.

Higher conversion is just one part of the economic impact — the other is making better use of employees’ time.

“We’re seeing a consistent pattern: agencies are growing their sales and service volume with the same team, putting off new hires, and freeing up licensed specialists and managers to focus on more complex work,” Shashkov says.

As a result, sales and service volume can grow faster than headcount. According to Superagent AI, clients see a 14:1 return on investment within the first 90 days.

Autonomous AI systems are gradually reshaping how independent insurance agencies operate: specialized agents are taking over first calls, calculating quotes, and handling routine negotiations. Despite the labor shortage facing the industry, solutions like Superagent AI are helping insurance businesses grow while preserving a personal touch and staying compliant with regulators.