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We have periodically carried out surveys on underwriting for greater than 15 years to know the state of the operate and the way know-how is—or isn’t—serving to it to evolve. In our most up-to-date report Underwriting rewritten, we requested what proportion of time underwriters are spending on non-core duties. This time, we noticed some incremental enchancment yr–over–yr in contrast to our 2021 survey however nonetheless extra than a 3rd of an underwriter’s time is spend on non-core actions similar to information assortment or administrative actions.

But greater than that, our 2024 survey general expresses the hope for the longer term that new automation and AI applied sciences might assist change the function of underwriting and actually cut back the time spent on non-core duties.
I’ve been round lengthy sufficient to recollect different waves of recent concepts and applied sciences similar to data administration, the web of issues, and analytics. And whereas every has discovered a spot inside the general insurance coverage enterprise and know-how ecosystem, one might argue that none actually modified the underwriting operate fully. But in on a regular basis that we’ve got achieved our trade surveys over my 30-year profession, I personally have by no means seen numbers like this:

Embracing automation and AI
According to the info above, the proportion of time underwriters spend on non-core duties is about to lower far more than simply incrementally with AI and automation going ahead. Across Life, Group, Personal, and Commercial Insurance, insurance coverage executives are satisfied that AI and automation instruments will change underwriting considerably and can change it comparatively rapidly.
Over the final 3 years carriers have been experimenting with these applied sciences—doing e.g., pilots in information assortment, information synthesis, and recommendation for underwriting. And whereas not all of those pilots may 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. In reality, should you aren’t pursuing some form of AI Underwriting pushed technique already, then you might be most likely already behind in keeping with our survey.
Here are some key information factors from our latest Underwriting Executive Survey:
- 81% of underwriting executives surveyed imagine AI and gen AI will create new roles “to a large extent” or “to a very large extent”.
- 65% of executives imagine their workforce would require upskilling as AI turns into integral to creating new roles and augmenting current ones.
- 42% of executives assume they might want to entry exterior expertise swimming pools to totally leverage the potential of the know-how
Empowering the AI-led underwriter
Combined with fashionable automation instruments and superior information ingestion capabilities, AI is probably essentially the most transformative pressure in fashionable underwriting, balancing each effectivity and complexity inside managed areas. It can allow pure language processing to work together with prospects and brokers to deal with points and to know requests in order that they are often routed to the right resolution automations. Advanced determination parts and sample recognition additionally permit for processing of a wider array of self-service requests with out direct intervention. Plus, AI has the power to orchestrate automations to offer full self-service options.
Let’s be clear: the underwriting function isn’t going away, however it is going to be remodeled as every service charts one of the best 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 have to be pondering via three issues from my perspective:
- An AI-led technique that lays out a plan for making the most of these new instruments inside your current atmosphere. It must be grounded in a powerful digital core. As AI know-how 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.
- A expertise technique that reimagines work and is redesigning workflows to organize administration groups and underwriting organizations to reap the benefits of the brand new capabilities these options present. A skills-based strategy will probably be key and in tandem, insurers might want to align AI integration with course of reinvention, guaranteeing accountable AI ideas are adhered to all through.
- A tradition that is ready to discover and experiment whereas defending core determination making. Insurers most likely have to take a bottom-up moderately 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 Underwriting Executive Survey, discover at Underwriting rewritten or be happy to achieve out to me straight.
