Insurance
How AI Helps MGA Aggregators Move Past Bordereau Data




For most MGA aggregators, auditing their MGA members is a persistent challenge. The data they receive is typically limited to bordereau reports, which provide only a snapshot of bound business—and often several weeks out of date.
This lack of real-time insights makes it difficult to assess underwriting quality, identify growth opportunities, or proactively mitigate risk. With AI-based tools, however, MGA aggregators can access a much broader range of performance data in real time, unlocking numerous benefits for themselves and their MGA partners.
Most MGA aggregators face significant limitations when it comes to auditing their members’ performance.
The end result? MGA aggregators are left operating reactively, unable to provide strategic support when it matters most.
Artificial intelligence is revolutionizing insurance portfolio management, making it possible for both MGA aggregators and their members to access real-time performance data that was previously out of reach.
By leveraging AI-driven portfolio insights, MGA aggregators gain a competitive edge in multiple ways:
For too long, MGA aggregators have had to make do with limited, delayed bordereau data. But with AI-powered real-time portfolio insights, they can now gain full visibility into underwriting performance, make proactive decisions, and strengthen their partnerships with MGA members. The ability to track portfolio health in real time not only improves operational efficiency but also enhances negotiating power with reinsurers—ultimately leading to better business outcomes for all stakeholders.
Learn more on how Federato helps MGA aggregators, or connect with us for a live demo today.
Bordereau data provides a summary of bound policies but lacks insights into underwriting funnel metrics, such as submission volume, quote rates, and underwriting quality. This makes it difficult for MGA aggregators to assess member performance effectively.
AI automates data collection and analysis, providing real-time insights into the entire underwriting process, from submission intake to policy issuance. This eliminates reliance on outdated, static reports.
Yes. With real-time performance data, aggregators can offer targeted support, identify growth opportunities, and reduce the reporting burden on their MGA members.
Aggregators can present up-to-date portfolio performance metrics to reinsurers, demonstrating the effectiveness of their MGA partners and securing better coverage terms.
Federato’s RiskOps platform integrates real-time underwriting insights into the workflow, ensuring that MGA aggregators and their members have continuous visibility into portfolio health and underwriting trends.
