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InsuranceWhat we do, and an illustrative case

Insurance processes can be improved massively, in sales and in claims.

We map how the work really runs from your own systems, measure the gap to best practice, and check every case as it happens.

What an insurer can gainPublished results, with their sources

The gains are documented.

  • ~10 pts

    expense-ratio improvement

    McKinsey, “How AI will reshape the economics of insurance: A CEO’s guide to strategy,” 2026

  • 10–20%

    improvement in sales conversion

    McKinsey, “The future of AI for the insurance industry,” 2025

  • 80%

    faster claims processing time

    IEEE Task Force on Process Mining, “Process mining at Suncorp,” case study

  • 70%

    faster time to insight

    Capgemini, “A leading US insurer revolutionizes its data ecosystem to gain 70% faster insights,” 2026

Illustrative caseLarge P&C insurer: claims, underwriting and sales

$20M saved a year.

One line of business, 10 weeks. An illustrative case, not an AIx2 client result: Illustrative line paying $2B of claims a year with 5% leakage (PwC: benchmark about 3%, most insurers well beyond; fixes cut loss costs 5–10%). Assumes 5% → 4%: 1% × $2B = $20M a year.

  • 5% of paid → 4%

    claims leakage

    PwC benchmark; assumes 5% → 4%

  • 40% → 30%

    underwriter time on admin

    P&C underwriters spend about 40% of their time on non-core and admin tasks (Accenture, 2021 P&C Underwriting Survey, 434 underwriters). Assumes a 10-point drop; not counted in the savings.

  • sample audits → 100%

    claim files checked

    Leakage is usually found in periodic audits of sampled files, not in real time (PwC, Stopping the Leaks, 2015). AIx2 checks every claim file live.

How we get thereThe ten weeks, step by step

From your own data to live checks on every case.

  1. Step 01: Collecting Data

    Connect claims, policy admin and CRM; add FNOL calls, adjuster notes and e-mail; pull broker submissions and quotes

    Weeks 1–2

  2. Step 02: Mapping Processes and Data Flow

    Map claims from FNOL to settlement; map quotes from submission to bind; trace hand-offs between teams

    Weeks 3–4

  3. Step 03: Gap Analysis

    Find leakage and what it costs; flag slow quotes and lost deals

    Weeks 5–6

  4. Step 04: Optimal Design

    Fast-track simple claims; route each submission to the right underwriter

    Weeks 7–8

  5. Step 05: Implementation Live Assurance

    Live QC on every claim file and quote; flag leakage and fraud signals early; track savings against the baseline

    Weeks 9–10