Industries · Insurance

Batch, data and admin systems for insurance teams

We’ve stabilized daily batch operations for a life insurer and rebuilt admin and reporting workflows for an insurance brokerage.

Daily batch jobs stabilized
About 100
Rows in the largest tables
Nearly 500 million

Recurring failures were fixed at the root, and Brighthouse renewed.

What our insurance clients came to us with

  • Batch runs failing as volumes grew

    Batch jobs kept failing, and manual fixes stretched the internal team.

  • Queries that took nearly 30 minutes

    Missing indexes slowed date-based queries, and reports went out without timely data.

  • Admin work done by hand

    Insurance agents and administrators did onboarding, reporting and admin tasks by hand, on an outdated platform.

  • Commissions tied to hierarchy data

    Payouts ran on insurance-agent hierarchy data that had to stay intact through a move to a new database.

How AI is changing insurance

  • Generative AI is in production

    48%

    of insurers worldwide have at least one generative AI use case in production

    Source: Celent, via actuary.info

  • Investment is still rising

    McKinsey’s 2026 survey finds insurers among the most likely to expect their AI investment to grow.

    Source: McKinsey, The State of AI

  • Regulators expect governance

    The NAIC model bulletin sets out regulators’ expectations for insurers’ AI use. Pennsylvania adopted it in 2024.

    Source: NAIC, AI model bulletin adoption map

What we build for insurance teams

Pick the package that matches your systems today. Each can add AI, and a named Amalgam engineer approves every change.

Insurance projects

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