Is the best plan to simply put legacy tech systems into the bin and start again, or can new platforms remix legacy data like a fine 80s tune from the past? Let’s dive in;
“When properly integrated into the workforce, AI agents can transform manual processes into automated, secure, and efficient workflows without requiring costly rip-and-replace strategies. For insurers burdened with material legacy system investments and complex governance structures, this approach offers a pragmatic path forward.
AI agents are breaking through longstanding technical barriers. Most carriers still run on legacy cores, making full replacement costly and disruptive. Rather than overhauling entire systems, automation and AI agents can be layered on top of existing systems as orchestration layers, which allows insurers to modernise incrementally whilst reducing operational risk. With the EU AI Act and EIOPA tightening oversight, insurers face pressure to balance compliance with seamless customer experience, and secure, modular automation helps firms maintain trust whilst staying compliant.
The path to AI adoption poses challenges for insurance decision-makers, who need to prove ROI, avoid wasting resources on initiatives that won’t scale, and steer clear of AI and agent-washing. The value of AI is no longer theoretical, and today’s AI solutions are already demonstrating autonomous reasoning, planning and action capabilities, with real-world industry use cases delivering transformational results.
Even so, navigating a clear adoption strategy can be daunting for executive teams, because no pilot or proof-of-concept tucked away in a corner can deliver real value. It’s not built to transform how the business operates. The hard part isn’t waiting for the tech to mature; it’s leading the organisational change that makes the transformation stick.
Success requires a measured approach, and can take place across six steps:
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Start small with specific use-cases that address business stress points; launch POC pilots in low-risk, high-volume areas, such as claims intake or quote generation.
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Prove the value with measurable ROI, with clear KPI’s, and then scale as confidence grows
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See AI solutions as orchestration layers sitting above legacy systems
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Include human-in-the-loop controls to ensure safety, control risk & build AI trust within the business
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Bring your people along on the journey from the start – be transparent and ease concerns on any personal impacts
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Lastly, but most critically, have the right partner in place. Find a proven strategic AI partner who can help you navigate and accelerate your own AI journey, who can work with you to build your own skills and letting you focus on your core business goals.”
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