AI interviews for insurance hiring have a clear job: give every applicant for a claims, underwriting or sales role the same structured first conversation, then hand recruiters a report they can act on. Insurance teams screen for judgment, plain explanations and steady customer handling, and those are hard to see on a resume. This guide is for recruiting leads at carriers, brokers, agencies and insurtechs. It covers which roles to start with, how licensing fits in, and where people should stay in charge. NTRVSTA, the AI interviewing platform that publishes this guide, is our product, and we say where it's not the best fit.
Hiring in insurance: what makes screening hard
The industry's hiring mix is shifting. O*NET OnLine, which publishes U.S. Bureau of Labor Statistics data, counts 572,600 Insurance Sales Agents employed in 2025 with a median annual wage of $62,280, and rates their growth for 2025 to 2035 as "average." Claims Adjusters, Examiners, and Investigators (376,100 employed, $78,000 median) and Insurance Underwriters (125,600 employed, $81,370 median) are both listed under "decline," as are Insurance Claims and Policy Processing Clerks. Actuaries, at $130,000 median, are rated "much faster than average." Fewer processing and claims seats, and more analytical ones, means each hire carries more weight.
Even in shrinking occupations, large workforces mean steady replacement hiring, and the candidates often come from outside insurance. Strong adjuster and customer service hires may come from retail, hospitality or the military, so a resume filter tuned to insurance terms misses them. What matters is whether a person can explain a coverage decision calmly, document it well and follow a process under pressure. That shows up in a conversation, not a keyword match.
Licensing runs alongside screening. Insurance licenses are granted by each state. New York's Department of Financial Services, for example, says state insurance law requires anyone seeking an agent, broker or public adjuster license to complete an approved pre-licensing course, and its exams are given by a testing vendor. The National Insurance Producer Registry (NIPR) lets producers apply for and renew licenses and lets anyone verify an existing license. An interview can ask where a candidate stands in that process, but the check itself belongs to your licensing team.
Roles to screen first
Start where applicant volume is steady and a structured conversation tests the skills that predict success.
If your claims and service teams sit in large contact centers, our contact center guide covers that model in more depth.
How AI interviews for insurance hiring work in practice
A live adaptive interview is good at the scenario questions insurance roles depend on. The interviewer can describe a claim where coverage is unclear, ask how the candidate would explain it to the policyholder, then follow up on what they would put in the file. A candidate who gives a vague answer gets a sharper follow-up, and one who answers well gets a harder case. Behavioral questions follow the STAR method, so recruiters can compare real past examples instead of opinions.
Structure also helps with fairness reviews. Insurers are used to explaining their decisions, and hiring is no different: the same topics and rubric for every candidate in a role make it easier to check selection rates and to show why someone moved forward. Candidates who work shifts or another job can take the interview at any hour, which matters for claims and service roles where many applicants are already employed. Interviews can run in more than one language, which helps for bilingual service roles.
Keep people responsible for license and background checks, for any rejection, for final interviews with the team lead, and for judging senior underwriting and actuarial depth. The AI interview should never ask for real policyholder data, and your rubric should be written before launch. Our guide to how AI interviews are scored and situational interview questions are useful starting points.
Compliance and fairness notes
Many carriers and brokers have New York City offices, where Local Law 144 can apply to an AI tool used to substantially assist screening. The city's FAQ says employers must have a bias audit done before using the tool, publish a summary of its results, and notify New York City candidates 10 business days ahead, with instructions for requesting an accommodation. Our Local Law 144 guide explains each step, and our Colorado AI Act and Illinois AI Video Interview Act guides cover two other states insurers often hire in.
State licensing rules decide who can sell, broker or adjust, and an interview score doesn't change that. Check each state where the role is licensed, and bring compliance in before you launch. Details of NTRVSTA's own independent Local Law 144 bias audit are on our compliance page. This is not legal advice.
Where NTRVSTA fits (and where it doesn't)
NTRVSTA is a good match for insurers that want a structured, scenario-based first round for claims, underwriting, sales, service and analytics roles. It runs a live, real-time AI interview as a video avatar or audio only and adapts questions and difficulty as the candidate answers. It covers technical and non-technical roles, and you customize questions per role. Hints show how a candidate responds to guidance. Every interview produces a score breakdown (technical skills, English proficiency, communication), video snippets of key moments and a shareable report. AI resume scoring ranks every resume against your job description, which helps when career changers apply in large numbers. Pricing is public on our pricing page, and its Local Law 144 bias audit was finalized on October 20, 2026.
Some needs point elsewhere. NTRVSTA is not an ATS and doesn't verify licenses; it integrates with your ATS and HR systems, from Greenhouse and Lever to Workday. We don't publish SOC 2 or ISO certifications, so ask early if your vendor review needs them. For large hourly service teams that apply and schedule by text, Paradox says Olivia runs candidate conversations over chat and SMS for high-volume hiring, and Fountain says it is a frontline hiring platform with a voice AI interviewer, and either fits better. Keep in mind that NTRVSTA is newer and smaller than the big enterprise hiring vendors, so there are fewer published enterprise case studies to review.
Questions
Can we interview candidates who don't have an insurance license yet?
Yes, and many teams should. Lots of strong producers and adjusters get licensed after they are hired. Ask where they are in the licensing process, judge the skills the job needs, and leave license verification to your licensing team.
What scenarios work well in an insurance AI interview?
Short, realistic cases: a policyholder upset about a partial denial, a commercial risk with missing information, a prospect comparing two quotes. Score how clearly the candidate explains, what they would document and when they would escalate, not whether they know your products.
Will an AI interview tell us if a candidate can sell?
It shows how a candidate runs discovery, explains coverage and handles objections in a structured conversation. That is a strong first signal, but a role play with a sales manager and early results on the job still matter more.
How long should an insurance first-round interview be?
For claims, service and sales roles, 15 to 25 minutes usually covers two or three scenarios and a couple of STAR questions. Analytical and engineering roles may need closer to 30 to 40 minutes for technical depth.
See how a claims scenario plays out in a live adaptive interview: book a 20-minute demo, or start a sample interview on your own.
Sources
- O*NET OnLine: Insurance Sales Agents (41-3021.00)
- O*NET OnLine: Claims Adjusters, Examiners, and Investigators (13-1031.00)
- O*NET OnLine: Insurance Underwriters (13-2053.00)
- O*NET OnLine: Insurance Claims and Policy Processing Clerks (43-9041.00)
- O*NET OnLine: Actuaries (15-2011.00)
- New York Department of Financial Services: Information for Insurance Agents and Brokers
- National Insurance Producer Registry: licensing center
- NYC Department of Consumer and Worker Protection: Automated Employment Decision Tools FAQ
- Paradox
- Fountain
- NTRVSTA: compliance and bias audit
