AI research analyst · for Insurance brokers
AI research assistant for Insurance brokers
Agentokia AI research analysts gather carrier information, compare policy terms, and organize client research in one workspace. Brokers review the findings, then use them to prepare quotes, renewals, and client answers with less manual searching.
Hours saved / month
96h
Cost saved / month
$5,280
Pain points
- • Carrier guidelines, appetite changes, and underwriting requirements are scattered across insurer portals, PDFs, and inboxes.
- • Renewal research starts too late because staff manually recheck limits, endorsements, deductibles, and loss-run requirements across accounts.
- • Comparing similar quotes takes hours when exceptions, exclusions, fees, and carrier ratings are not normalized.
- • Client questions and RFP requests interrupt production work while staff search for current market and coverage evidence.
Outcomes
- Reduce manual carrier, policy, and market research time by up to 60% for renewal and new-business work.
- Build normalized comparisons for 10 comparable insurance quotes in one working day.
- Cut first-draft renewal brief preparation from 90 minutes to under 25 minutes per account.
- Check every renewal account against a 25-item readiness list covering limits, endorsements, deductibles, loss runs, and client changes.
AI research assistant for insurance brokers
Agentokia gives insurance brokers a working ai research assistant setup instead of another tool to configure. Your ai research analyst answers questions in your tone of voice, follows your policies, escalates anything it should not decide alone, and works every hour of the day. Typical teams see about 96 hours a month handed back.
It covers the everyday jobs people mean by AI market research, automated competitor research — first replies, follow-ups, order and account questions, and clean handoffs to a person.
How it works for Insurance brokers
Carrier appetite and market research
Builds a market grid by line of business, territory, premium band, minimum premium, appetite, submission requirements, and source links for broker review.
Renewal research briefs
Reads expiration applications, current policies, loss runs, and client updates to produce claim summaries, exposure changes, renewal dates, market options, and information gaps.
Quote and coverage comparison
Extracts premiums, installments, fees, limits, deductibles, exclusions, endorsements, and carrier ratings into a side-by-side matrix, then flags material differences.
Submission readiness checks
Checks ACORD forms, loss runs, property schedules, valuations, and supplemental applications against an underwriter checklist, then drafts a missing-information request.
RFP and client research
Researches carrier financial strength, complaint information, claims contacts, coverage trends, and policy language, with source references for broker verification.
FAQ
- What broker tasks can the AI research analyst perform?
- It can research carrier appetites, review renewal documents, normalize quotes, identify missing submission data, summarize policy differences, and prepare evidence for RFPs and client meetings.
- Does the analyst replace licensed broker judgment?
- No. It prepares research and comparison drafts. A licensed broker still evaluates coverage, recommends placement, communicates advice, and approves anything sent to a client.
- What documents can it review for an insurance account?
- It can extract information from approved ACORD applications, current policies, quote packets, loss runs, exposure schedules, valuations, and broker notes while keeping uncertain items for staff review.
- How does it handle changing carrier appetite?
- It checks broker-approved carrier sources, records source dates, highlights changed requirements, and flags stale information so producers can verify current underwriting guidance.
- How is the monthly ROI estimate calculated?
- The 96-hour estimate assumes a five-person brokerage moves repetitive carrier research, renewal intake checks, and quote normalization to the analyst. At a blended loaded labor cost of $55 per hour, that equals $5,280 per month before software cost.
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