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Data & AI for insurance

You already have policy, claims, and customer data, but how are you using it day to day? With analytics and AI, we help turn that data into more accurate risk assessments, more efficient claims handling, and better portfolio management.

  • Faster claims handling

  • Earlier fraud detection

  • Higher policy renewal rates

CHALLENGES

Which of these challenges do you want to address?

 

Do any of these challenges sound familiar? If so, see how we can use data and AI to address them.

  • Too much manual work in underwriting
    Time spent gathering documents and verifying data, with too many submissions requiring individual review.
  • Claims handling times and costs are hard to predict
    Delays, unexpected costs, and signs of potential fraud detected too late.
  • Retention efforts start too late
    Without early visibility into churn risk, it is harder to plan effective retention activities.
  • Incomplete view of your customers and portfolio
    Fragmented policy, claims, and contact data make it harder to assess risk, profitability, and sales potential.

SOLUTIONS

See how technology can ease your team’s workload

CASE STUDIES

Selected AI and data implementations

  • automating-the-refund-process-with-ai-case-study-
    Developed a PoC system for flexible patient claim registration. Used generative AI to automate email…
  • Altkom Software's audit of data warehouse
    Developed over many years, the data warehouse no longer kept pace with the growing complexity…
  • Altkom Software' case study of Data Governance project
    Integrating data from key systems – ERP, HR, customer portal and core operational platforms –…
  • Altkom Software's case study
    A Qatar-based global investment fund struggled with fragmented data sources that slowed decision-making. A modern…
  • Data Governance project case study
    Inconsistent data governance was hindering a financial institution’s efficiency and security. A thorough audit and…
    See all case studies

    What could we improve in your organization?

    You don’t need to have a solution in mind. Let’s talk about your process and explore where data and AI could make the biggest difference.

    Data Maturity Levels: Data in silos; Building the foundations; Centrailzed data warehouses and governance; Federation and self-service; AI-driven transformation; Data as a product
    DATA MATURITY MODEL

    Can your data keep up with your plans?

    Looking to make greater use of AI in underwriting, claims handling, or sales?

     

    Find out how ready your organization is. This short online assessment highlights your strengths, gaps, and areas to address before your next investment.

    • 15–20 minutes
    • Assessment across 6 dimensions
    • Report with your results

    WHY US?

    We know insurance inside out

    CONTACT

    How do we get started?

    • Understand your process

      We discuss the process you want to improve, the problems you face today, and the outcomes you want to achieve.

    • Assess your options

      We review the available data, systems, and constraints to identify where analytics and AI could deliver the greatest value.

    • Agree on a plan

      Together, we agree on a clear scope of work, from analysis or a pilot to implementation.

    Filip Wachowiak

    Head od International Growth

    BLOG

    Read more about the role of Data & AI in finance

    • Altkom Software's article about underwriting automation
      Magdalena Marczak
    • Ilustracja 3D: teczka z dokumentami otoczona ikonami — pismo, karta klienta, koperta z powiadomieniem, przekazywanie sprawy między osobami, klepsydra i znak zapytania — obrazująca rozproszone dokumenty i opóźnienia w procesie underwritingu
      Magdalena Marczak
    • Article about MCP in insurance
      Łukasz Rauer