00:00 / 26:45
1
#1 Welcome: why Akur8 is sharing its own AI story
#1
Welcome: why Akur8 is sharing its own AI story
#2
Akur8's starting point and its first steps with AI
02:57
#3
The AI-built feature that never shipped
04:37
#4
Three early lessons on processes, roles and adoption
06:00
#5
Inside Akur8's AI Transformation Team
08:54
#6
The people challenge: "I don't trust AI" and "I don't have time"
11:28
#7
Why AI output alone breaks at scale: constraint engineering
13:40
#8
Akur8's agent-driven product development process
16:17
#9
Why actuarial work is different
17:16
#10
Keeping AI on target: infrastructure and build vs buy
18:52
#11
Guardrails: deterministic models, institutional memory and auditability
21:26
#12
Akur8 Agents for actuarial teams
24:40
#13
Workshops and closing
26:07
AI At Scale: What Insurance Leaders Need to Know About Agentic Transformation
Agentic AI and AI transformation in insurance, told from the inside. In this episode of the Akur8 Academy Podcast, Felix d’Alançon, Akur8’s COO, and Ludovico Capparelli, Head of AI Transformation, explain how Akur8 became an AI-first company, and what insurers, actuaries, and actuarial teams can learn about scaling AI agents safely.
In this episode:
AI adoption in insurance: why it’s a people challenge first
AI for actuaries: a pricing error can take years to surface, regulation is tighter, and models can’t yet reproduce actuarial judgment
AI governance and guardrails: human review, auditable logs, and deterministic models that check the AI’s output
Build vs. buy: why infrastructure and security become the new bottleneck
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