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From Admin Systems to Ecosystems: Enhancing services through partnerships

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Thursday, December 8, 2022

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To support the launch of the InsTech report, ‘From Admin Systems to Ecosystems: Enhancing services through partnerships’, Robin hosted a Live Chat to discuss the distribution, underwriting, claims and innovation benefits that are evolving from the ecosystem model and the role that admin systems can play in providing and enhancing them. 

He was joined by:

  • Tim Hardcastle, CEO & Co-founder, Instanda
  • Andre Symes, Co-CEO, Genasys
  • Michael Lewis, CEO, Claim Technology

The panel discussed the various strategies available to the insurance community, the importance of selecting an administration system that aligns with those goals and how to select an ecosystem partner. As this model is still maturing the panel also discussed the current challenges, especially for those with legacy technology issues, the importance of proliferating APIs and the opportunities that lie ahead for those who can successfully execute.

The report is now available to download here.

Continuing Professional Development – Learning Objectives

InsTech is accredited by The Chartered Insurance Institute (CII). By attending an InsTech Digital event, you can claim up to 0.5 CPD hours towards your CPD scheme.

Let us know you attended the event by emailing [email protected] and if your organisation is a member of InsTech, you will receive a quarterly summary of the CPD hours you have earned.

The Learning Objectives for this event were:

  • Describe what a digital ecosystem is and some of the advantages it can provide for technology companies, data providers and start-up businesses
  • Summarise how the ecosystem model is evolving to support and enhance the distribution and administration of insurance
  • Identify a range of strategies available to the insurance community and how to align them with the right technology and data providers

Please take a minute to fill in this short CPD feedback form and let us know what you thought of this event.