Legacy modernization in insurance: Why insurers should act now
Summary
Legacy modernization is increasingly critical for UK life and pensions, and P&C insurers, as market pressures expose the high costs of outdated systems. McKinsey's research indicates digital leaders grow revenue five times faster and deliver twice the shareholder returns. "Legacy" is defined by behavior—making change slow, expensive, or risky—rather than age. The urgency stems from rising agility demands, with MGAs taking market share, and internal surveys showing 46% of insurers cite inflexibility and integration challenges. Regulatory deadlines, like the UK's operational resilience deadline of March 31, 2025, and new FCA reporting rules by March 18, 2027, also sharpen consequences. Crucially, AI has changed the economics, making modernization more feasible by reducing uncertainty, manual effort, and supporting incremental reconstruction, as seen in Thoughtworks' partnership with Mechanical Orchard for mainframe modernization. Success requires clear ambition and sustained executive intent, starting where legacy most constrains value.
Key takeaway
For insurance executives and CTOs weighing modernization strategies, the confluence of market pressures, regulatory deadlines, and AI's economic impact demands immediate action. Your organization's ability to adapt products, integrate partners, and access data is directly tied to addressing behavioral legacy. Prioritize targeted, incremental modernization efforts where legacy most constrains value, ensuring sustained executive intent and leveraging AI to reduce project risk and cost. This approach will lower your cost of change and secure long-term competitiveness.
Key insights
AI fundamentally shifts legacy modernization economics, making targeted, incremental approaches feasible and essential for insurer competitiveness.
Principles
- Legacy is defined by behavioral constraints, not system age.
- Modernization demands clear ambition and sustained executive intent.
- Prioritize modernization where legacy most limits business value.
Method
Modernization should be targeted and incremental, tied to measurable business outcomes, focusing on understanding existing behavior, analyzing dependencies, and accelerating testing with AI.
In practice
- Identify product lines or servicing capabilities constrained by legacy.
- Address core integration bottlenecks and trapped data.
- Improve interoperability across ecosystems using industry standards.
Topics
- Insurance Modernization
- Legacy Systems
- AI in Insurance
- Operational Resilience
- Digital Transformation
- P&C Insurance
- Life & Pensions
Best for: VP of Engineering/Data, Executive, CTO, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Thoughtworks Insights.