2025 Best Practices Study

Internal Operations

On the back end, AI is improving efficiency in document processing, compliance monitoring, and data analytics. Examples include:

• Direct Bill reconciliation: automating matching and posting of carrier payments. Within the first month of implementing an AI-powered direct bill reconciliation tool, one Best Practices firm achieved automatic reconciliation for approximately 80% of their statements. This improvement freed up the accounting team to focus on more strategic financial tasks. • Training tools: AI-based simulation and onboarding programs. A top-100 agency has implemented AI as a digital assistant to support CSRs in their daily work. This digital assistant has significantly improved form submission accuracy and enhanced client interactions, resulting in more efficient and positive outcomes. • Policy checking: flagging discrepancies between bound and issued policies. In a pilot program, another top-100 agency implemented an AI-powered policy checking tool to create coverage summaries or explain a certain insurance clause. With an average of 30 minutes saved per day per support staff member, the ROI for this product was 3,807%. • AMS (Agency Management System) AI integrations: applying LLMs to extract insights and streamline workflows within systems like Applied or Vertafore. Applied is addressing broker workflow inefficiencies with their 'Digital Roundtrip of Insurance' roadmap, natively embedding data and AI capabilities to drive top line growth through upsell/cross-sell insights and prospecting plus bottom-line efficiencies in data entry automation and back-office commissions reconciliation. • Integration of acquired firms: can vastly reduce integration costs and timing. A Best Practices agency has adopted AI to streamline post-close integration tasks, utilizing technology to clean, transform, and migrate AMS data. As a result, integration timelines have been cut from 180 days to just 45 days. Producers are leveraging tools like ZoomInfo for prospect research, proposal generation tools like Modern Metric’s to craft tailored presentations faster, and client benchmarking tools like BrokerPRO to create client friendly dashboards with credible data. Generative AI assists producers in improving client communications, summarizing opportunities, and preparing for meetings more efficiently — driving higher productivity and growth. For instance, producers leveraging BrokerPRO as part of their sales workflow have achieved a 31% increase in win rates and a 106% boost in average deal size. Consequently, those adopting technology see measurable growth in both their book size and overall compensation, reinforcing the value of embracing AI driven tools in a modern brokerage environment. Producer Enablement

Differentiating Between Quick Wins and Long-Term Transformation

Taken from Emilia Sherifova, CEO / Founder, Stealth AI-Native Technology Company (ex-CTO Partner, KKR; ex-CTO, Northwestern Mutual):

“A frequent pitfall in AI programs is mistaking tactical victories for wholesale reinvention. Early wins matter, as they spark belief and build organizational “AI muscle.” We observed a broker using an AI intelligence engine to prioritize and score leads, resulting in a 22% reduction in lead-to-close time and a 2.6-fold increase in the likelihood of conversion. Another used generative outreach to lift email open rates and quote requests. Real impact, minimal surgery. These bites of low-hanging fruit prove what’s possible and create momentum. Transformation,

Generative AI: Transforming Insurance Practices

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