Voice AI Sales Agent for InsureTech
Deployed an AI voice agent that conducts outbound insurance sales calls autonomously, converting 12% of leads to qualified appointments.
The Business Challenge
InsureTech's SDR team was calling 10,000 leads monthly with only 3% converting to qualified appointments. Agent burnout was high on repetitive calls. Cost per qualified appointment was $180 — making many lead sources unprofitable.
For many FinTech organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.
InsureTech Direct needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.
Our Solution
We built a Voice AI agent using ElevenLabs and GPT-4o that conducts natural outbound sales conversations, qualifies leads against 12 criteria, and books appointments directly into sales rep calendars — autonomously handling 50,000 calls monthly.
Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.
We maintained weekly video demos with InsureTech Direct's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.
Our Approach
We scripted 200+ conversation branches based on top-performing human rep calls. The AI handles objections, adjusts pacing to caller responses, and escalates to human reps when buying signals are strong. A/B testing across script variants optimized conversion monthly.
How We Delivered It
Every TechVerse project follows a structured delivery process designed to minimize risk, maximize transparency, and get working software in front of stakeholders as fast as possible. Here's how we approached this FinTech project:
Discovery & Scoping
2-week paid discovery sprint with InsureTech Direct to map requirements, define acceptance criteria, and produce a fixed-price project plan. No surprises after sign-off.
Architecture & Technical Design
Senior engineers design the full technical architecture before writing production code. Every decision is documented and reviewed with stakeholders.
Agile Delivery in 2-Week Sprints
Working software delivered every sprint. Weekly video demos with InsureTech Direct leadership kept all stakeholders aligned throughout the 3 months.
QA, Security & Performance Testing
Every feature is tested against acceptance criteria before it is considered done. Load testing and security review happen before any production deployment.
Launch, Handover & Support
Structured go-live with dedicated hypercare support. Full code ownership transferred to the client along with documentation, runbooks, and knowledge transfer sessions.
Measurable Business Impact
Results were measured against pre-project baselines established during our discovery phase. Every metric below reflects documented before/after comparisons, not projections or estimates.
TechVerse's Voice AI converted our lead conversion from 3% to 12% and our cost per appointment dropped 73%. Our human SDRs now focus exclusively on closing while the AI handles outreach.
Why This Project Matters
The FinTech sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.
This project for InsureTech Direct is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.
For US companies in the FinTech space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.
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