By Elad Tsur, Chief AI Officer at Applied Systems. Applied Systems won the ‘Best SaaS Product for BI, Analytics & Reporting‘ category at The 2025 SaaS Awards.

Artificial intelligence is increasingly shaping the modern era, and a common apprehension echoes across industries: will AI replace human jobs?

The insurance sector, however, tells a different story. Next-generation AI is not making human roles obsolete – it is transforming the insurance agent from an administrative “paper pusher” into a highly strategic “profit strategist,” revitalizing the industry’s human element in the process. This shift goes beyond improving efficiency. It serves as a critical response to pressing industry challenges and marks a bold step into the next generation of insurance.

This transformation isn’t happening in a vacuum. The insurance industry is under pressure from multiple forces that make the adoption of advanced technologies not just strategic, but necessary. Rising expectations for real-time connectivity, growing demands for seamless stakeholder experiences, the need for better data intelligence, and – perhaps most urgently – a widening talent gap are driving the shift. At the center of it all is vertical AI – artificial intelligence built on deep insurance expertise and trained on industry-specific data to deliver targeted, high-impact results. Of all the pressures driving this shift, the growing talent gap may be the most urgent – and the most compelling case for adopting intelligent, insurance-focused solutions.

The looming talent crisis – a catalyst for change

One of the most urgent drivers for this technological embrace is the significant talent gap facing the insurance industry. A substantial portion of seasoned insurance professionals are nearing retirement age. According to Accenture, less than 25% of the insurance industry workforce is under the age of 35, and within the next 15 years or so, approximately half of the workforce is expected to retire. This creates a critical challenge: how can insurance businesses effectively equip their existing talent to focus on the most important things and, simultaneously, attract the next generation of professionals to fill open positions?

The answer lies in strategic technology investment. Technology serves as a powerful magnet for the next generation of insurance professionals. Millennials and Gen Z, having grown up with technology deeply integrated into their personal lives, expect it to be a seamless part of their professional environments. They are naturally drawn to forward-looking companies and recognize technology as a key to growth in any industry. Investing in AI-integrated management systems with open architecture that facilitate seamless data flow and automate workflows makes an agency significantly more attractive to these digital-savvy generations.

AI elevating roles, not replacing them

The beauty of AI in this context is its ability to remove the tedium from workflows, allowing both new and existing talent to accomplish more with less effort and concentrate on higher-value tasks. Historically, insurance workflows have been characterized as paper-driven, time-consuming, and cumbersome, requiring manual tasks across multiple systems, websites, portals, and physical forms. AI is poised to automate a vast array of these manual duties, saving agents significant time and reducing operational errors.

Consider the following examples of how AI is automating the “paper pusher” aspects of the job:

• Policy Checking and Comparisons: Tasks like policy checking and policy comparisons that might traditionally consume more than 20 hours a week can see agents reclaim more than 500 hours annually through AI automation.
• Financial Reconciliation: For accounting and finance staff, AI integration allows for much quicker reconciliation of payments. By simply uploading statements in various formats (scanned images, PDFs, CSVs), AI can extract data like dates, premiums, and policy numbers, transforming it into structured financial data that can be reviewed, validated, and automatically reconciled, significantly reducing manual processing time.
• Commercial Submissions and Underwriting: AI can identify coverages, recommend optimal placement based on known markets, and pre-fill forms with risk data directly from management systems. An AI-powered document understanding engine can turn various forms into digitally structured information, enriching risk profiles and streamlining communication between agents and underwriters.
• Customer Servicing: AI-amplified servicing tools enable agency staff to quickly access information and execute tasks like identifying accounts, adding activities, and auto-summarizing emails with seamless data connectivity. This means managing and saving emails can take half as long as it does now, and common questions about policy details or account information can be answered in seconds rather than 20 or more minutes.

The critical takeaway here is that agentic AI platforms can find and interpret both structured and unstructured data across systems, documents, and communications, automatically extracting relevant information from policy documents, emails, PDFs, and legacy databases. By automating these routine, time-consuming tasks, AI not only accelerates data discovery and reduces manual entry – improving efficiency and minimizing errors – but also frees agents to focus on high-value client interactions and strategic decision-making, shifting their role from repetitive administration to true strategic advisory.

AI as an empowerment tool

The transformation brought by AI goes far beyond operational efficiency. It acts as a powerful empowerment tool, enabling insurance agents to step fully into the role of trusted advisor.

Insurance agencies are ripe with data. AI-powered solutions can tap into this resource to convert raw data into actionable intelligence, helping agents quickly find answers to pressing questions. For example, AI can identify high-probability cross-sell and upsell opportunities, potentially boosting revenue by 20 to 30 percent through personalized suggestions tailored to individual customer needs. It can also enrich commercial risk profiles by analyzing thousands of publicly available sources, helping agents uncover gaps in existing coverage. This allows for proactive conversations with clients to ensure they are properly protected while also reducing the agency’s exposure to errors and omissions.

AI also eliminates time-consuming manual tasks during the prospecting process. It can automatically identify and target new commercial prospects, streamlining what was once labor-intensive research. Agents can even generate clear, concise, and engaging marketing content directly within their management systems – saving hours of manual writing while producing materials optimized specifically for insurance communications.

For new talent entering the field, AI accelerates training and onboarding. Integrated, intelligent training tools can upskill team members in half the time of traditional methods, helping to close the industry’s talent gap. This not only makes careers in insurance more accessible but also empowers new professionals to make an impact faster.

AI enhances the experience for everyone involved – clients, prospects, internal teams, and partners – by enabling real-time connectivity and intelligent workflows. The result is a more responsive, streamlined, and customer-centric insurance ecosystem, where technology supports and amplifies human expertise at every level.

The future agent – a blend of expertise and technology

The next generation of insurance promises a profound shift in the agent’s role. It’s not about replacing the human touch, but about amplifying human capabilities with intelligent automation. The future agent will be a sophisticated professional, free from the burden of manual, repetitive tasks, and empowered by AI to focus on what truly matters: building and nurturing client relationships, providing expert advice, and driving strategic growth.

This transformation is enabled by insurance-specific AI, which, unlike generalist AI solutions, integrates industry-specific data into workflows to deliver precise insights and practical automation. While AI handles the heavy lifting of data analysis, documentation, and routine communication, agents can dedicate their time to high-value client interactions, strategic decision-making, and proactive risk management.

The next generation of insurance holds incredible opportunity. By embracing modern technology, particularly AI, the industry can drive significant growth, optimize staff productivity, and effectively navigate the generational shift in talent. This commitment to transforming the agent’s role into one of greater strategic impact and professional satisfaction ensures that the human element remains vital, valuable, and empowered in an increasingly intelligent world.