‘Most AI initiatives in insurance stop at making individuals faster. AgLabs is focused on making the market faster,’ says head
Digital broking and underwriting technology provider Artificial Labs has launched a new research and innovation arm, AgLabs.
Artificial said that the new venture’s operations would focus on the “next era” of specialty insurance, notably how “agentic artificial intelligence (AI) will reshape market interactions”.
It specified that its research aimed to lay the foundations for agent-to-agent market co-ordination, a process whereby AI agents would be able to “exchange, validate and clarify information autonomously under granular controls”, with a focus on the “layer where risk information is exchanged, clarified, translated and negotiated”.
According to Alexis Renaudin, head of AgLabs, the majority of AI initiatives in insurance “stop at making individuals faster”, while “AgLabs is focused on making the market faster”.
“We do that by initially fixing the pre-bind interaction layer where brokers and underwriters lose time translating formats, validating data and chasing documents,” Renaudin said.
“Over time, this builds the foundations for a 24/7 agentic insurance ecosystem, where routine market interactions happen continuously, and humans engage only where judgement is required.”
Deployable capabilities
To achieve this aim, AgLabs said that it plans to balance its long-term research with immediately deployable capabilities which would help brokers remove friction from current processes.
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David King, co-founder of Artificial Labs, said: “AgLabs is built for a human-led market. Its purpose is to remove the administrative friction that consumes time and slows decision-making.
“Insurance professionals are paid for their expertise, not for chasing missing data across endless email chains.
“AgLabs keeps people at the centre of the process while removing the friction that slows markets down. Our agents can do the legwork of coordination and clarification in the background, but the decision and accountability always stay with the human.”
He graduated in 2017 from the University of Manchester with a degree in Geology. He spent the first part of his career working in consulting and tech, spending time at Citibank as a data analyst, before working as an analytics engineer with clients in the retail, technology, manufacturing and financial services sectors.View full Profile
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