InsTech - insurance & innovation with Matthew Grant & Robin Merttens
InsTech - insurance & innovation with Matthew Grant & Robin Merttens

Where is the industry today? - a view from the C-suite (387)

28 December 2025 30:11 InsTech

Listen to episode

About this episode

In this episode, Robin Merttens is joined by Dr Thomas Kuhnt (HDI Global SE), Ed Ackerman (Qover) and Vincent De Ponthaud (AXA) for a rare C-suite perspective on Agentic AI — what it is, how it's being deployed and why senior leaders are walking a tightrope between bold innovation and operational risk.

Agentic AI promises transformative value, but for decision-makers at the top, it also brings real uncertainty. What do you build vs. buy? How do you prove ROI? And how do you prevent over-trusting agents that are inherently probabilistic?

In this conversation, Thomas, Ed and Vincent share:

  • Why Agentic AI is different from past tech trends and why this one feels real
  • The cultural and leadership challenge of balancing excitement with governance
  • How AXA and HDI are enabling safe experimentation at scale across complex organisations
  • How Qover is building 20+ AI agents to automate claims micro-tasks — and when they build vs. buy
  • What customers really think about AI agents  and why nearly none opt out
  • The risks of shadow AI and why IT needs to move faster than ever
  • Why “human in the loop” is flawed and how user trust in AI could become a blind spot
  • What’s missing: industry standards, agent evaluation tools and new roles like “agent managers”
  • The case for cautious iteration, deep collaboration and constant re-evaluation

Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 InsTech - insurance & innovation with Matthew Grant & Robin Merttens. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.