
Sign up to save your podcasts
Or
How can insurers make accurate loss estimates before adjusters are on the ground, and why does it matter?
In this episode, Matthew Grant speaks with Will Bonner, Chief Operating Officer at McKenzie Intelligence Services (MIS), about how the company uses satellite data, open-source intelligence and human expertise to deliver early insights on catastrophic events. From wildfires in California to civil unrest in the Pacific, the conversation explores how insurers are responding faster, setting more accurate reserves and navigating uncertainty in real time.
The episode also highlights the practical challenges of relying on public data sources, the growing role of brokers in geospatial intelligence and how MIS transitioned from a centrally funded Lloyd’s service to a solution used by 80% of syndicates. With real-world examples and lessons from other domains like defence and disaster response, this is a grounded look at what it takes to turn raw data into operational decisions.
Key Talking Points:
If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. You can also contact Will Bonner on LinkedIn to start a conversation!
Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.
Continuing Professional Development
This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.
By the end of this podcast, you should be able to meet the following Learning Objectives:
If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 354 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.
To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.
4.6
99 ratings
How can insurers make accurate loss estimates before adjusters are on the ground, and why does it matter?
In this episode, Matthew Grant speaks with Will Bonner, Chief Operating Officer at McKenzie Intelligence Services (MIS), about how the company uses satellite data, open-source intelligence and human expertise to deliver early insights on catastrophic events. From wildfires in California to civil unrest in the Pacific, the conversation explores how insurers are responding faster, setting more accurate reserves and navigating uncertainty in real time.
The episode also highlights the practical challenges of relying on public data sources, the growing role of brokers in geospatial intelligence and how MIS transitioned from a centrally funded Lloyd’s service to a solution used by 80% of syndicates. With real-world examples and lessons from other domains like defence and disaster response, this is a grounded look at what it takes to turn raw data into operational decisions.
Key Talking Points:
If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. You can also contact Will Bonner on LinkedIn to start a conversation!
Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.
Continuing Professional Development
This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.
By the end of this podcast, you should be able to meet the following Learning Objectives:
If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 354 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.
To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.
4,229 Listeners
998 Listeners
509 Listeners
351 Listeners
186 Listeners
3,965 Listeners
222 Listeners
26 Listeners
5,194 Listeners
3 Listeners
3,252 Listeners
949 Listeners
137 Listeners
274 Listeners
2,263 Listeners