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Five years ago, many owners of small-to-midsize agencies believed they knew more about their customers than any business intelligence (BI) tool could tell them. But as BI and predictive analytics solutions have matured—driven in part by the rise of artificial intelligence (AI)—a significant cultural shift has occurred.
The naysayers of years ago now see BI tools as critical to their growth strategy. And as agencies begin to experience real-world benefits of predictive analytics, agents and brokers unable to turn their data into action will risk falling further behind in 2026.
Move forward, not backward
Traditional data tools worked like a rearview mirror. They helped agents understand what happened in the past but could not foresee what would occur in the future. AI-powered predictive analytics tools now let agencies forecast the road ahead with improved accuracy. Proven benefits include:
- Stronger client retention. With P&C premiums continuing their upward trajectory in 2026, retaining clients will remain challenging. Analytics can help identify which clients are at the highest risk of turnover, so agents and brokers can connect sooner and retain their business.
- Profitable growth. Not all new business is profitable business. Predictive analytics help agencies predict which types of business will generate more revenue in the short- and long-term.
- Stronger carrier relationships. In the past, agents often relied on carriers to provide data-driven insights. But when agencies analyze their own data, they can create more effective marketing campaigns and products, making them better partners for their carriers.
- Benchmarking. BI tools let agencies see how standalone data points, such as policies-per-customer, align with their competitors so they know where they are succeeding and where they can improve.
- More efficient operations. AI-powered BI tools can reduce the time spent on back-office work significantly. This makes agencies more efficient and gives producers more time to build the kinds of deep customer relationships that are the hallmark of all successful businesses.
Put strategy before tools
Despite the proven benefits, using data and analytics effectively brings challenges. That is why agencies should develop an end-to-end data strategy well before evaluating tools.
The best place to start is where data first enters the business. That means identifying all data sources, including the Agency Management System (AMS), Customer Relationship Management (CRM) database, marketing tools, paper documents and emails. From there, agencies should decide which metrics matter most—premium-per-customer, revenue targets, growth and retention data—and determine the insights those metrics can provide.
Taking an end-to-end approach allows professionals to input clean, accurate data, improving the quality of insights a BI tool can provide. It also clears the path for integration with all the systems where agency data lives including an AMS, CRM, contact center software and policy management tools. The goal is to consolidate data into one central dashboard or screen so it is easy for staff to access and use.
Get the whole team on board
The biggest barrier to implementing AI-powered BI tools is the human factor. Agency staff must be willing to act on the insights generated. If they trust their gut and ignore the data, a BI initiative will not gain traction.
Similarly, if staff fear AI is being implemented to replace their roles, they will be hesitant to use it. Agency owners should share how AI will improve producers’ work lives and reassure staff that insurance is a business built on personal relationships, something AI can never replace.
Find the best fit
Once the data strategy is set and staff buys in, it’s time to evaluate BI solutions. The right fit depends on an agency’s size and lines of business. Tools like AgencyIQ, an AI-powered BI platform, integrate with an agency’s core systems and deliver real-time insights into cross-sell and upsell opportunities, revenue growth and retention strategies.
Part of the SIAA NXT Intelligent Distribution Platform, AgencyIQ is available to SIAA members. As a zero-data-entry tool, AgencyIQ derives insights from data that already exists within an agency, giving agents full ownership of their data and enabling them to use AI safely and share their data within a controlled environment.
Set the right expectations
While BI platforms are powerful, they are not a once-and-done effort. An agency’s data strategy and tools must constantly evolve as the business grows. Also, BI implementations will not deliver an immediate return on investment (ROI). A more realistic timeline is to set ROI targets at 90 days, 12 months and beyond.
Boost agency valuations
While BI and data analytics bring multiple benefits, their biggest impact may be on the appraised value of their agency. For example, prospective buyers comparing two agencies with $5 million books will choose the one that is more efficient, profitable and scalable. Agents and brokers who lean into AI-driven BI tools now will become more effective and, therefore, more successful in 2026 and beyond.
Opinions shared in this piece are the author's own.
Anurag Shah is chief data officer for SIAA and has more than 20 years of technology, software and systems development experience in insurance and related fields. SIAA – The Agent Alliance (siaa.com) is the nation’s leading network for starting, growing, and evolving independent insurance agencies with more than 5,200 member agencies writing more than $17 billion in total written premium.
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