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With more submissions than ever, carriers and MGAs face:

A critical shortage of underwriters to review them all.

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Insurance is grappling with an underwriting talent crunch fueled by two converging factors:

1

The underwriting talent pool is shrinking fast.

By 2026, 400,000 insurance employees in the U.S. are expected to retire.

2

Insurance struggles to attract the best new talent.

The industry has a reputation for being outdated, unexciting, and lagging behind in technology adoption.

Increasing submission throughput used to be simple: just hire more underwriters.

Now with fewer underwriters available it's time to explore different approaches. 

Insurance presents its own unique challenges that any submission processing team must address.

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Review everything quickly.

Current processes are highly manual, and as a result, submissions get reviewed too late or not at all.

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Handle complex submissions without sacrificing accuracy.

Any new approach cannot introduce errors that have to be found and corrected.

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Keep your experienced underwriters in control.

Insurance requires hard-earned experience, expertise, and human judgment in complex situations. Removing underwriters completely creates unnecessary risk.

It’s tempting to see AI as the “silver bullet” for your underwriter shortage, but it’s not that simple.

Submissions are too messy and subjective for current AI solutions to replace your people.

Pre-trained templates

Cannot handle the variety and constant change  in submission document formats coming from the market.

Gen AI

Is not trustworthy as it is prone to hallucinations and cannot explain its answers, making it hard for people to verify, improve and ultimately trust.

"Black box" AI models

Without explainability, auditability and human oversight will not be compliant with current and upcoming AI regulations.

AI falls short when it aims to remove human underwriters from the process.

Its true value lies in augmenting underwriters’ capabilities, not in replacing them. 

Underwriters are experts who use their experience and judgment to evaluate risks that are too complex and nuanced for AI alone.

AI Vs Human

Augmenting your people with AI is the future.

Human

Embrace AI Augmentation

AI works best when it empowers underwriters, allowing them to apply their expertise in new, innovative ways.
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Prioritize The Right New Business

Successful insurers know that not all submissions are equal— AI helps them prioritize those most likely to bind, even the most complex, boosting their win rates.
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Keep your Experts in the Loop

By adopting human-in-the-loop AI, underwriters can work faster and more efficiently, all while maintaining their crucial role in the process.

THE NEW APPROACH

Learn how to boost your submission processing by 2x—no new hires, no loss of control, and without taking humans out of the loop.