Insurtech CEOs debate: Can AI run whole workflows?

Paul Templar, Andrew Engler and Adam Ibrahum
Paul Templar, Andrew Engler and Adam Ibrahum
  • Key insight: Insurtech leaders share their views on what to expect from AI over the next five years including how quickly changes will happen.
  • Expert quote: "At this point, I think AI has become extremely overblown in its promise versus delivery." –Andrew Engler, CEO and co-founder of RockRose Risk

Insurtech leaders have different visions of how AI will impact the insurance industry, and even how fast that change will occur.

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"At this point, I think AI has become extremely overblown in its promise versus delivery. I see massive implications in actual functional hardware efficiency in mitigation and in reducing transactional friction," Andrew Engler, CEO and co-founder of RockRose Risk, said. 

Adam Ibrahum, founder and CEO of the insurtech ForceAI, said: "Our sense is that AI will continue to help automate workflows and improve data enrichment in underwriting and claims on the margin, but that it will happen more gradually than many expect."

These insights and more came from Digital Insurance's new Meet the Insurtech Leaders series. Read more below and click the links for each executive's full profile.

How do you see AI changing insurance over the next 5 years?

Adam Ibrahum, founder and CEO of ForceAI

Adam Ibrahum
Adam Ibrahum

Our sense is that AI will continue to help automate workflows and improve data enrichment in underwriting and claims on the margin, but that it will happen more gradually than many expect. 

It is under-appreciated how much existing technical debt and maintenance sit in the core systems and infrastructure that powers the industry. It is also underestimated how much human and change management it takes to reliably automate a workflow in a highly regulated and trusted industry like insurance. There will be transformation, but it will happen incrementally, in the form of single-digit improvements in efficiencies and the product over time in those carriers who are most proactive and willing to drive change.

Andrew Engler, CEO and co-founder of RockRose Risk

Andrew Engler
Andrew Engler

At this point, I think AI has become extremely overblown in its promise versus delivery. I see massive implications in actual functional hardware efficiency in mitigation and in reducing transactional friction. But optical character recognition and machine learning have been around since the 1950s, and we've already seen automation in the binding of auto and home insurance. 

The actual change comes from physically manipulating risk, not just finding creative new ways to reprice a risk that should be fundamentally lowered.

Paul Templar, co-founder and CEO of VIPR Solutions

Paul Templar
Paul Templar

We're in a phase where AI, data infrastructure and specialist market expertise are converging in a very powerful way. There's a misconception that AI will commoditize everything, but we actually believe the opposite is true in specialist markets like insurance. As data volumes increase, platforms with deep domain intelligence become exponentially more valuable.

We're particularly excited about how AI can continue to accelerate and transform decision-making across insurance operations. Large global brokers increasingly recognize that their delegated authority operations require specialist platforms designed specifically for their workflows — not generic systems that are adapted to them retroactively.

Beyond the growth of the company and the business opportunity, what genuinely excites us is the chance to continue modernizing a part of the insurance industry that has historically been underserved by technology.

Pablo Palafox, CEO and co-founder of HappyRobot

Pablo Palafox
Pablo Palafox

AI will move from assisting employees with individual tasks to handling entire operational workflows — from intake and document collection to follow-ups and coordination. Insurance will become faster and more responsive, while people spend more of their time on complex decisions, exceptions and customer relationships. 

The biggest shift will be AI taking greater ownership of outcomes across channels and systems, but within clear guardrails: reasoning where judgment is needed, following fixed rules where precision matters and escalating exceptions to people. AI will become part of how work actually gets done, while humans remain focused on the decisions that require real expertise.


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