Insurance
AI automation and custom software for insurers and agencies
Insurers and agencies are drowning in manual quoting, claims data entry, and fragmented CRM workflows. We build AI-powered automation and custom tools that cut processing time so your team can focus on clients instead of spreadsheets.
Nub Labs builds custom AI voice agents and automation for insurance agencies, brokers, and carriers. Our voice agents handle first-notice-of-loss (FNOL) intake, quote follow-up, renewal reminders, and 24/7 lead qualification, so no call or opportunity is missed during peak volume. Unlike off-the-shelf platforms, we build around your existing workflow: deep integration with agency management systems and CRMs, custom quote and claims logic, and real-time routing of qualified leads to the right producer. We build on Vapi, Retell AI, and Twilio, choosing the platform that best fits your compliance, latency, and data-residency requirements. Insurance clients use our voice agents and automation to cut manual processing time, respond to new leads in seconds, and give agents cleaner pipeline visibility. Engagements start with a free 30-minute discovery call and a fixed-price scope, delivered in weekly milestones with support after launch.
The problem
Where insurance businesses get stuck
- Manual data entry for quotes, policies, and claims
- Lead qualification takes too long — competitors call first
- Fragmented systems that don't talk to each other
- High call volume with repetitive FAQ questions
- CRM that doesn't match the insurance sales workflow
Our solutions
What we build for insurance companies
- AI voice agents for inbound lead qualification
- AI-powered document extraction for claims and policy forms
- Custom CRM built around the insurance sales pipeline
- Quote generation and policy management tools
- Lead scoring and routing automation
FAQ
Common questions
Can an AI voice agent handle insurance lead qualification calls?
Yes. AI voice agents are well-suited for structured qualification flows: collecting coverage type, location, vehicle or property details, current insurer, and budget. The agent qualifies and scores the lead in real time, then either books a callback with an agent or routes to a live rep for high-value opportunities.
Can you extract data from insurance documents automatically?
Yes. We build document extraction pipelines that process policy forms, claims documents, and quotes using LLMs. Accuracy typically exceeds 95% for structured documents, with low-confidence extractions routed to a human review queue.
How does a custom insurance CRM differ from HubSpot?
HubSpot is built for general B2B sales. Insurance workflows - multi-carrier quoting, policy renewal tracking, claims status, commission management - require a data model HubSpot cannot express without heavy customisation. A purpose-built system often has a better ROI within 18 months of licensing costs.
How long does it take to deploy an AI voice agent for insurance lead qualification?
A focused AI voice agent for insurance lead qualification typically takes 4-6 weeks from scoping to live deployment. This covers script design, integration with your CRM or lead management system, compliance review of call flows, and a QA phase with sample calls before going live.
Can an AI system handle insurance data without violating privacy regulations?
Yes. We build with data minimisation and access control as defaults - agents only collect what is required for the use case, data is encrypted in transit and at rest, and audit logs are maintained. We design flows to avoid storing sensitive PII beyond what is operationally necessary, and can align with DPDP Act (India) or GDPR requirements depending on your jurisdiction.
Relevant services
Ready to talk?
Book a free 30-minute call and let's see how we can help your insurance business.
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