Insurance

AI Annuity platform

AI-based platform that helps insurance businesses increase revenue and improve annuity sales and services by setting the right prices for annuity products and making smarter predictions about customer behavior.

  • US-based Startup Company
  • 12 people
  • Insurance

The challenge

  1. Following rules and managing risks in an effective way.
  2. Meeting the changing needs of the customers.
  3. Making better decisions based on real-time data and work more efficiently.
  4. Finding the best ways to sell annuity products to grow the business.

At a glance

Client
US-based Startup Company
Team size
12 people
Industry
Insurance

Project goals

  • Creating AI models to establish an optimal pricing model for each customer.
  • Tracking essential metrics like Lifetime Value (LTV).
  • Scaling and customizing the system to meet future requirements.
  • Turning unstructured data into structured data to optimize pricing and maximize profitability.
  • Optimizing pricing strategies through AI insights and making smarter decisions.

Results

Increased Engagement

AI system helped the client increase interest in exploring annuity solutions by 71%.

Accurate Predictions

With AI models, the client managed to make predictions about customer behavior more accurately.

Efficient Reporting

The client reduced the time spent on regulatory reporting by 34%

Mitigated Risks

Through automated reporting and more accurate data processing, the client minimized the risk of penalties by 50%.

Questions about this case study

Who was the client on this project?

Client: US-based Startup Company. Industry: Insurance. We keep client names confidential under NDA, so we share the profile rather than the company name.

How big was the DevKit team?

DevKit provided a team of 12 people for this project, working as an extension of the client's own team.

Can DevKit build a similar team for my company?

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