Case Study: Independent Insurance Agency
Industry: Insurance · Team size: 8 (1 principal, 4 CSRs, 2 producers, 1 admin) · Revenue: ~$1.6M/year
The situation
An independent P&C agency representing 12 carriers. The principal had grown the book to about $4M in premium but was hitting a ceiling — the team couldn't write more business because they were buried in quoting and renewals. Hiring another CSR would cost $48K+/year, and the margins didn't support it.
Software stack before engagement:
- HawkSoft (agency management): $280/mo
- Constant Contact (email marketing): $65/mo
- DocuSign: $40/mo
- Google Workspace: $72/mo
- EZLynx (comparative rater): $180/mo
- Various carrier portals: free but time-intensive
Total SaaS spend: ~$637/month
The problems we found
The quoting bottleneck was severe. CSRs spent an average of 35–45 minutes per personal lines quote — logging into individual carrier portals, entering the same data repeatedly, comparing results, then documenting the recommendation. They could realistically handle 6–8 quotes per day. The wait time for prospects averaged 4 hours for a callback with numbers.
Renewal tracking was manual. An Excel spreadsheet tracked upcoming renewals, but reviews happened inconsistently. About 15% of renewals were getting re-shopped reactively (after the client called asking why their rate went up) rather than proactively.
Client communication was inconsistent. Some clients got great proactive service. Others heard from the agency once a year at renewal. There was no systematic follow-up.
What we built
Phase 1 (weeks 1–3): Quoting acceleration
Built an AI layer on top of their existing carrier portal access that pre-fills applications from client data, runs parallel quotes across carriers, and produces a formatted comparison sheet. A CSR now reviews the AI-generated comparison, adds their professional recommendation, and presents to the client. Quote time dropped from 35–45 minutes to 8–12 minutes.
Phase 2 (weeks 3–5): Renewal pipeline automation
Created an automated pipeline that pulls upcoming renewals 90 days out, triggers market checks, identifies accounts with rate increases above threshold, and queues them for re-shop. Personalized renewal outreach emails send automatically with the agent's name and tone.
Phase 3 (weeks 5–7): Client communication system
Implemented automated touchpoints — policy change confirmations, mid-term check-ins, birthday/anniversary notes, annual review reminders, and claims status updates. All personalized, all automatic, all looking like they came directly from the client's assigned agent.
The results
Where the value came from:
- Eliminated need to hire additional CSR ($4,000/mo avoided)
- Improved retention from 85% to 92% (estimated $650/mo in preserved commission revenue)
- Eliminated EZLynx and Constant Contact through consolidation ($245/mo saved)
- Increased quoting capacity enabled $180K in new premium written in first 6 months (~$200/mo in additional commission at the margin)
The real impact: The agency stopped turning away referrals because they "didn't have capacity." Same team, 3.5x the quoting throughput. The principal started talking about growth again instead of hiring.