Serious About Process Ep. 4 | The Hidden Cost of Claims Complexity & Why AI Won't Fix It
Episode 4 of the Serious About Process podcast is live!
How can insurers improve claims performance as cases grow more complex and the volume of information continues to increase?
In this episode of Serious About Process, host Gijsbert Cox is joined by Nick Errington, Global Head of Claims Governance and Performance Excellence at Swiss Re Corporate Solutions, to explore just that. Nick explains why the biggest opportunity for AI is to give claims handlers more time for work that requires real expertise by reducing repetitive tasks, bringing together unstructured data, and simplifying claims processes.
What you’ll learn:
🔷Why increasing claims complexity makes human expertise more valuable
🔷How AI can reduce repetitive claims administration and free up time for complex decisions
🔷Where unstructured data can improve fraud detection, recovery analysis, and claims handling
🔷How insurers can balance operational efficiency with strong controls and governance
🔷Why clear business cases and measurable outcomes matter when prioritising process improvements
🔷How simpler core systems help insurers scale automation across regions and business lines
🔷Why fraud detection tools need to explain their findings instead of producing unexplained scores
🔷How claims handlers can work alongside AI while retaining responsibility for final decisions
Nick Errington is Global Head of Claims Governance and Performance Excellence at Swiss Re Corporate Solutions, where he supports claims operations through governance, control frameworks, process improvement, and performance management.
Nick began his insurance career handling motor claims at AXA before moving through roles at QBE, Chubb, and Swiss Re. His experience includes claims system implementations, change management, software integration, auditing, and claims process improvement, including involvement in a Guidewire implementation at QBE.
With extensive experience across commercial insurance, Nick brings a practical perspective on how technology, data, and governance can help claims teams manage increasingly complex risks while maintaining strong customer relationships and human oversight.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.
YouTube chapters:
01:15 Introduction to Serious About Process
03:05 How Nick Errington Got Into Insurance Claims
04:33 Why Claims Handlers Need More Time for Complex Decisions
08:30 The Manual Processes Slowing Down Claims Handling
10:30 Balancing Claims Efficiency With Governance and Control
13:46 How to Build a Business Case for Claims Improvements
17:32 Unlocking the Value of Unstructured Insurance Data
20:44 Why ROI Matters More in a Soft Insurance Market
23:02 Why Insurers Need Simpler Core Systems
27:48 Using AI and Unstructured Data to Detect Claims Fraud
30:17 Why Humans Must Stay in Control of AI Decisions
34:11 How AI Will Change the Role of Claims Handlers
35:50 The Claims Workflow Nick Would Automate Next
Quotes:
"AI is there to augment human expertise, not replace it. It doesn't replace any accountability."
"Claims data is not claims data, it's insurance data."
"We shouldn't just abdicate responsibility to machines. We need to think for ourselves as well."
Episode resources:
Nick Errington on LinkedIn: https://ap.pn/4yGCoDW
Swiss Re Corporate Solutions Website: https://ap.pn/4smdJmy