Tuesday, February 3, 2026
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AI Underwriting: Past the hype | Insurance coverage Weblog

Now we have periodically carried out surveys on underwriting for greater than 15 years to grasp the state of the operate and the way expertise isor isn’tserving to it to evolve. In our most up-to-date report Underwriting rewrittenwe requested what share of time underwriters are spending on non-core duties. This time, we noticed some incremental enchancment yroveryr in contrast to our 2021 survey however nonetheless extra than a 3rd of an underwriter’s time is spend on non-core actions comparable to knowledge assortment or administrative actions.

bar chart

However greater than that, our 2024 survey total expresses the hope for the long run that new automation and AI applied sciences might assist change the position of underwriting and actually cut back the time spent on non-core duties.

I’ve been round lengthy sufficient to recollect different waves of latest concepts and applied sciences comparable to information administration, the web of issues, and analytics. And whereas every has discovered a spot throughout the total insurance coverage enterprise and expertise ecosystem, one might argue that none actually modified the underwriting operate solely.  However in on a regular basis that we’ve got accomplished our trade surveys over my 30-year profession, I personally have by no means seen numbers like this:

Percentages

Embracing automation and AI

In accordance with the information above, the share of time underwriters spend on non-core duties is ready to lower rather more than simply incrementally with AI and automation going ahead.  Throughout Life, Group, Private, and Industrial Insurance coverage, insurance coverage executives are satisfied that AI and automation instruments will change underwriting considerably and can change it comparatively shortly.

During the last 3 years carriers have been experimenting with these applied sciences—doing e.g., pilots in knowledge assortment, knowledge synthesis, and recommendation for underwriting.  And whereas not all of those pilots might need been profitable, the general conclusion appears to be now that this time there’s a justification for optimism in tackling the non-core share of actuarial duties. The truth is, in the event you aren’t pursuing some form of AI Underwriting pushed technique already, then you’re in all probability already behind based on our survey.

Listed below are some key knowledge factors from our current Underwriting Government Survey:

  • 81% of underwriting executives surveyed consider AI and gen AI will create new roles “to a big extent” or “to a really giant extent”.
  • 65% of executives consider their workforce would require upskilling as AI turns into integral to creating new roles and augmenting current ones.
  • 42% of executives suppose they might want to entry exterior expertise swimming pools to completely leverage the potential of the expertise

Empowering the AI-led underwriter

Mixed with trendy automation instruments and superior knowledge ingestion capabilities, AI is probably essentially the most transformative drive in trendy underwriting, balancing each effectivity and complexity inside managed areas. It might allow pure language processing to work together with prospects and brokers to handle points and to grasp requests in order that they are often routed to the right answer automations. Superior resolution components and sample recognition additionally enable for processing of a wider array of self-service requests with out direct intervention. Plus, AI has the flexibility to orchestrate automations to offer full self-service options.

Let’s be clear: the underwriting position isn’t going away, however it is going to be remodeled as every provider charts one of the simplest ways to mix human plus machine decision-making to enhance each the pace and effectivity of underwriting outcomes.

Your subsequent steps as gen AI augments your workforce

To achieve success in any AI journey, carriers should be pondering by three issues from my perspective:

  1. An AI-led technique that lays out a plan for benefiting from these new instruments inside your current atmosphere. It must be grounded in a robust digital core. As AI expertise evolves to grow to be extra agentic, underwriters might even improve their productiveness additional by breaking down their workflow and delegating duties to those AI brokers. 
  2. A expertise technique that reimagines work and is redesigning workflows to arrange administration groups and underwriting organizations to benefit from the brand new capabilities these options present. A skills-based strategy can be key and in tandem, insurers might want to align AI integration with course of reinvention, guaranteeing accountable AI rules are adhered to all through.
  3. A tradition that is ready to discover and experiment whereas defending core resolution making. Insurers in all probability have to take a bottom-up relatively than a top-down strategy to AI adoption, capitalizing on worker willingness and eagerness to experiment with AI.

If you wish to study extra about Accenture’s Insurance coverage Underwriting Government Survey, discover at Underwriting rewritten or be at liberty to achieve out to me immediately.

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