Client Case Study · Insurance

Cutting insurance onboarding effort by 70%.

Kalpita Technologies built an AI-driven insurance application accelerator that cut manual onboarding effort by 70%, data entry by 60%, and processing time by 40–50% for a health and life insurance provider.

Updated June 2026Smart InsureInsurance · Customer onboarding automation

AI-driven insurance application accelerator interface

70%

less manual evaluation effort

60%

less manual data entry

40–50%

faster application processing

10–15%

higher conversion rates

Overview

Five things that changed for the insurer

An accelerator, not a patch.

An AI-driven insurance application accelerator built for customer onboarding, replacing a paper-heavy process rather than papering over it.

Evaluation runs itself.

Responses are analysed centrally for requirements and eligibility — 70% less manual effort, with people reserved for genuine judgement calls.

Questionnaires complete themselves.

Form completion is customized by insurance type, cutting manual data entry by more than 60% and shortening onboarding.

The backend is connected.

Direct integration with Blueprint and ENTERPRISE systems cut processing time 40–50% by removing the hand-offs between them.

Fewer drop-offs, more policies.

Abandonment fell 15% and conversion rose 10–15% once customers could start and finish without a separate login.

Summary

Onboarding was the insurer's slowest process. We made it their smoothest.

A health and life insurer was drowning in its own paperwork: long, repetitive application questionnaires, agent-keyed data entry, and a 20–30% error rate that stretched processing to 7–10 days.

Kalpita Technologies built a centralized, AI-driven onboarding platform that automates the questionnaire, evaluates responses centrally, and integrates directly with backend systems — turning the firm’s slowest process into its smoothest.

Client profile

At a glance

The client is an insurance provider handling high volumes of health and life insurance applications. Manual application filling by customers and manual evaluation by agents caused inaccuracies and delays that hurt customer experience and the firm’s reliability.

Industry
Insurance — health and life
Challenge focus
High-volume application processing
Engagement
Custom accelerator build with backend systems integration

Tools & technologies

The stack behind the accelerator

  • Angular
  • .NET
  • SQL Server
  • Azure

The challenge

The problem we solved

A 20–30% manual error rate stretched application processing to 7–10 days — delaying approvals and eroding customer trust.

7–10 days

to process an application, with high error rates delaying approvals and eroding trust.

20–30%

manual error rate, introduced by agents re-keying every applicant’s information by hand.

Repetitive

lengthy questionnaires — detailed forms that degraded the customer experience before a policy even existed.

Every one of those problems compounded the others: long forms produced more manual entry, manual entry produced more errors, and errors produced more review cycles.

The solution

One centralized platform, application to approval.

Kalpita developed the AI-Driven Insurance Application Accelerator — a centralized customer onboarding platform that transforms the insurance acquisition process end to end.

Automated questionnaires

Customized form completion for health and life products, reducing manual data entry by over 60%.

Centralized evaluation

Automated analysis of responses for requirements and eligibility, cutting manual intervention by 70%.

Backend integration

Connected to Blueprint and ENTERPRISE systems, cutting processing time 40–50%.

User-friendly access

Customers engage through integrated portals without separate login credentials — abandonment down 15%.

Marketing & sales integration

Friction-free entry points lifted conversion rates by 10–15%.

Extensible integrations

Interfaces for CRM, claims management, document management and regulatory compliance systems.

Results

What changed, measured

The accelerator moved every number that mattered to the insurer — effort, speed, accuracy and conversion — in the same direction at once.

Manual effort

70%

reduction in manual evaluation effort

Data entry

60%

reduction in manual data entry

Processing speed

40–50%

faster application processing

Funnel

15% / 10–15%

lower abandonment · higher conversion

Experience

Measurably better

customer experience and approval timelines

Conclusion

From the biggest bottleneck to a competitive edge.

The accelerator turned onboarding from the client’s biggest bottleneck into a competitive edge: faster approvals, cleaner data, and customers who finish what they start.

It’s a pattern Kalpita now applies across insurance workflows — automate the repetitive, centralize the judgment, integrate the backend.

FAQ

Frequently asked questions

Kalpita engineers at work

Let's talk

See what 70% less manual effort would mean for your onboarding.

Bring us your slowest workflow. We will show you where the automation, the centralized judgement and the integrations belong.