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Our Team

  • Lindsay Smith, CTO - Enterprise software veteran, 20+ years FinTech, former CTO at Telrock
  • Robbie MacIntosh, Operations Director - Crisis management and operational transformation specialist
  • Spencer Thursfield, Chief Marketing Officer - Brand development, commercial strategy, and cross-sector pattern recognition

Proven Results

  • 150% conversion increase: same leads, seven figures in new annual revenue
  • 95% faster processing: 3 hours of senior time reduced to 9 minutes
  • £200K+ hidden costs uncovered in a single 48-hour engagement
  • £15M procurement decision delivered in 48 hours from 1,200 pages
  • Live with paying clients since October 2024
Case StudyInsurance Technology

Specialized Insurance Brokerage

Industry
Insurance Technology
Sector
Medical Aesthetics Insurance
Size
SMB - Specialized Brokerage
Region
United States

Transformation Results

conversion rate
150%
20% → 50%
processing time
95%
multiple hours → 20 minutes
cost savings
$200,000+
eliminated technical debt and reduced complexity
agent productivity
85% reduction in admin work
70% administrative tasks → 15% administrative tasks
scalability
1000% increase without additional staff
1x capacity → 10x capacity
roi timeline
4-6 months to break even

Executive Summary

A specialised insurance brokerage serving medical aesthetic practices across the United States was converting less than 20% of 700-800 monthly qualified leads. Every month, around 640 prospects the business had already paid to acquire walked away at the application form. We delivered a context-aware automation system that tripled the conversion rate, recovering 210+ additional customers per month from the same lead spend. At industry-typical commission rates, that conversion gain alone represents seven figures in new annual revenue. The $200,000 in eliminated technical debt is the secondary saving.

The Challenge

Medical aesthetics insurance is uniquely complex. Every US state has different regulations, risk profiles vary dramatically between Botox and surgical procedures, and provider types range from physicians to aestheticians. The brokerage's legacy system couldn't handle this complexity intelligently.

The real problem was hidden in plain sight: 85% of their middleware was just moving data between boxes. No logic, no value — just complexity that slowed everything down and caused 60% of applicants to abandon the process entirely.

What We Built

Intelligent Question Routing

We developed a dynamic questioning system with 200+ logic rules that adapts like an experienced human agent. It understands that a California Botox provider needs different coverage than a Texas laser clinic, and routes each applicant through the optimal question path.

The system qualifies applicants for multiple insurance products simultaneously whilst checking state-specific compliance requirements in real time.

Architectural Simplification

We eliminated the unnecessary middleware layer entirely, replacing a three-layer architecture with direct API connections. This delivered 66% faster response times and 4x fewer failure points whilst actually improving security through simplification.

Document Automation

Insurance applications now generate 90% pre-completed based on the qualification data, with electronic signatures and direct carrier submission. What previously took hours of agent time completes in 20 minutes.

Implementation Approach

We ran both systems in parallel throughout the transition — zero risk to live operations. Feature flags enabled gradual rollout with instant rollback capability. A/B testing validated performance improvements before full deployment.

Results and Business Impact

The transformation delivered across every metric that matters:

  • Conversion rate: Under 20% to over 50% — a 150% improvement generating 210+ additional customers monthly from the same lead flow
  • Processing time: Hours reduced to 20 minutes per application (95% faster)
  • Agent productivity: Administrative tasks dropped from 70% to 15% of their time
  • Technical debt: $200,000+ annual savings from eliminated complexity
  • Scalability: 10x capacity increase without additional staffing
  • ROI timeline: Full investment recovery within 4-6 months
  • The Economics

    The headline value isn't the technical debt saving. It's the revenue recovery. Every applicant the old form turned away was a customer the brokerage had already paid to attract through marketing and lead generation. The conversion gain converts sunk acquisition cost into recurring premium revenue: 210 extra policyholders per month, every month, on the same lead budget. At industry-typical commission rates, that is seven figures in annual revenue that was previously walking away at the application form. The $200,000 in eliminated technical debt is real, but it is the smaller number in this story.

    Why It Worked

    Generic insurance platforms failed here because they treated every applicant the same. Our system succeeded by encoding deep domain expertise — state regulations, service risk profiles, provider licensing requirements — into intelligent automation.

    The brokerage now has a competitive moat their traditional competitors cannot replicate. While others still use paper forms and manual processes, they convert at rates the industry has never seen.

    Key Takeaway: Most 'complex' systems aren't complex — they're just complicated. When you understand the actual business context, you can build simple solutions that work brilliantly.

    Interested in similar results?

    Talk to us. We'll tell you honestly whether this approach makes sense for your situation.

    If it does, we'd love to work with you. If it doesn't, we'll tell you that too.

    Get a deployment proposal
    Skip to main content

    Our Team

    • Lindsay Smith, CTO - Enterprise software veteran, 20+ years FinTech, former CTO at Telrock
    • Robbie MacIntosh, Operations Director - Crisis management and operational transformation specialist
    • Spencer Thursfield, Chief Marketing Officer - Brand development, commercial strategy, and cross-sector pattern recognition

    Proven Results

    • 150% conversion increase: same leads, seven figures in new annual revenue
    • 95% faster processing: 3 hours of senior time reduced to 9 minutes
    • £200K+ hidden costs uncovered in a single 48-hour engagement
    • £15M procurement decision delivered in 48 hours from 1,200 pages
    • Live with paying clients since October 2024
    Case StudyInsurance Technology

    Specialized Insurance Brokerage

    Industry
    Insurance Technology
    Sector
    Medical Aesthetics Insurance
    Size
    SMB - Specialized Brokerage
    Region
    United States

    Transformation Results

    conversion rate
    150%
    20% → 50%
    processing time
    95%
    multiple hours → 20 minutes
    cost savings
    $200,000+
    eliminated technical debt and reduced complexity
    agent productivity
    85% reduction in admin work
    70% administrative tasks → 15% administrative tasks
    scalability
    1000% increase without additional staff
    1x capacity → 10x capacity
    roi timeline
    4-6 months to break even

    Executive Summary

    A specialised insurance brokerage serving medical aesthetic practices across the United States was converting less than 20% of 700-800 monthly qualified leads. Every month, around 640 prospects the business had already paid to acquire walked away at the application form. We delivered a context-aware automation system that tripled the conversion rate, recovering 210+ additional customers per month from the same lead spend. At industry-typical commission rates, that conversion gain alone represents seven figures in new annual revenue. The $200,000 in eliminated technical debt is the secondary saving.

    The Challenge

    Medical aesthetics insurance is uniquely complex. Every US state has different regulations, risk profiles vary dramatically between Botox and surgical procedures, and provider types range from physicians to aestheticians. The brokerage's legacy system couldn't handle this complexity intelligently.

    The real problem was hidden in plain sight: 85% of their middleware was just moving data between boxes. No logic, no value — just complexity that slowed everything down and caused 60% of applicants to abandon the process entirely.

    What We Built

    Intelligent Question Routing

    We developed a dynamic questioning system with 200+ logic rules that adapts like an experienced human agent. It understands that a California Botox provider needs different coverage than a Texas laser clinic, and routes each applicant through the optimal question path.

    The system qualifies applicants for multiple insurance products simultaneously whilst checking state-specific compliance requirements in real time.

    Architectural Simplification

    We eliminated the unnecessary middleware layer entirely, replacing a three-layer architecture with direct API connections. This delivered 66% faster response times and 4x fewer failure points whilst actually improving security through simplification.

    Document Automation

    Insurance applications now generate 90% pre-completed based on the qualification data, with electronic signatures and direct carrier submission. What previously took hours of agent time completes in 20 minutes.

    Implementation Approach

    We ran both systems in parallel throughout the transition — zero risk to live operations. Feature flags enabled gradual rollout with instant rollback capability. A/B testing validated performance improvements before full deployment.

    Results and Business Impact

    The transformation delivered across every metric that matters:

  • Conversion rate: Under 20% to over 50% — a 150% improvement generating 210+ additional customers monthly from the same lead flow
  • Processing time: Hours reduced to 20 minutes per application (95% faster)
  • Agent productivity: Administrative tasks dropped from 70% to 15% of their time
  • Technical debt: $200,000+ annual savings from eliminated complexity
  • Scalability: 10x capacity increase without additional staffing
  • ROI timeline: Full investment recovery within 4-6 months
  • The Economics

    The headline value isn't the technical debt saving. It's the revenue recovery. Every applicant the old form turned away was a customer the brokerage had already paid to attract through marketing and lead generation. The conversion gain converts sunk acquisition cost into recurring premium revenue: 210 extra policyholders per month, every month, on the same lead budget. At industry-typical commission rates, that is seven figures in annual revenue that was previously walking away at the application form. The $200,000 in eliminated technical debt is real, but it is the smaller number in this story.

    Why It Worked

    Generic insurance platforms failed here because they treated every applicant the same. Our system succeeded by encoding deep domain expertise — state regulations, service risk profiles, provider licensing requirements — into intelligent automation.

    The brokerage now has a competitive moat their traditional competitors cannot replicate. While others still use paper forms and manual processes, they convert at rates the industry has never seen.

    Key Takeaway: Most 'complex' systems aren't complex — they're just complicated. When you understand the actual business context, you can build simple solutions that work brilliantly.

    Interested in similar results?

    Talk to us. We'll tell you honestly whether this approach makes sense for your situation.

    If it does, we'd love to work with you. If it doesn't, we'll tell you that too.

    Get a deployment proposal
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