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Your Producers Shouldn't Need SQL to Know Who to Call Today

Broker Advisor — Conversational Analytics and
Next-Best-Action Intelligence on Databricks.

 

Booth #425 | Databricks Data + AI Summit 2026 
June 15–18, 2026, San Francisco

The Problem

Most broker organizations hold fragmented data across dozens of acquired entities, with no unified view of their producers, clients, or portfolio performance. Broker organizations are data-rich but insight-poor. This isn't just a data engineering problem. It shows up in how the business operates:

  • Producers spend more time hunting for data than talking to clients. More than half of producers fail to generate enough revenue to justify their costs.
  • Client engagement is reactive. Renewals are triggered late. Coverage gaps go unnoticed. Advisory conversations happen after the client has already made up their mind.
  • Cross-sell opportunities are missed. Without a unified view of policies, claims, and client risk, brokers overlook clear revenue opportunities within their existing portfolio.
  • The workforce is gradually aging. As experienced producers approach retirement, valuable institutional knowledge about client relationships and portfolio nuances is at risk of being lost without effective knowledge transfer.
  • Retention economics are challenging. Acquiring a new policyholder costs 7 to 9 times more than retaining an existing one, making it one of the highest acquisition costs across industries.

Why Existing Approaches Fall Short

Most brokers have tried BI dashboards, spreadsheets, or bolt-on analytics. Here's why those efforts stall:

01

Data stays fragmented

Acquired entities run on different agency management systems (Applied Epic, AMS360, HawkSoft, etc.). Without a unified data model, every report is a reconciliation exercise.

02

Insights don't reach the people who need them

Dashboards tell you what happened, not what to do. Producers don't use them. The data isn't in their workflow and doesn't answer questions like "Which clients need attention this week?"

03

Analysis stops at "what happened."

Traditional BI tells you last quarter's numbers. It doesn't tell you which clients to call, which producers to coach, or which gaps to close. Insight without action is just a prettier spreadsheet.

04

No single pane of glass

Producers toggle between CRM, AMS, claims portals, and email to piece together a client picture. There's no unified layer that brings data, insights, and actions into one place.

05

ML Ops

Model Builds & Operationalization @Scale

Broker Advisor: From Fragmented Data to Decision Intelligence

Broker Advisor is not another dashboard. It's a comprehensive solution that unifies broker data, delivers conversational insights, and turns them into recommended actions, all on the Databricks Data Intelligence Platform- —powering Databricks for Broker Intelligence. Built for broker organizations that have grown through acquisition and now need to operationalize data at the point of decision with Databricks for Broker Intelligence at the core.

What Broker Advisor Actually Does

Producers don't write SQL. They ask questions. Broker Advisor gives them a Genie-powered interface—enabled by Databricks for Broker Intelligence—to surface answers instantly. It helps answer questions, such as:

  • "Which clients are up for renewal in 30 days with declining engagement?"
  • "Which producers are below target this quarter, and what's dragging their numbers?"

"Show me single-line policies with premiums above USD 50K — where's the cross-sell opportunity?"

Agents built on Genie Spaces go beyond surfacing insights; they recommend actions and automate prioritization:

  • At-risk client alerts: Flag accounts showing early churn signals and recommend a retention play.
  • Next-best action for producers: Prioritize which clients to call, what to discuss, and what to offer based on coverage gaps, renewal timing, and portfolio signals.
  • Producer coaching triggers: Surface-specific and data-backed coaching recommendations for practice leads.
  • Cross-sell/upsell recommendations: Detect single-line clients, coverage gaps, and premium thresholds where additional products are a natural fit.

  • Broker and Producer Performance Intelligence: Unified scorecard across acquired entities — same metrics, same definitions. Track pipeline velocity, conversion rates, and book growth. Replicate what top performers do; flag underperformers early.
  • Renewal Risk and Coverage Gap Analytics: Predict at-risk renewals before they lapse. Detect coverage gaps that represent both risk exposure and revenue opportunity.
  • Client 360 and Portfolio Intelligence: Unified view across premium, claims, service interactions, and engagement history. Replace "who's calling me today" with "who should I be calling today?"
  • Claims and Service Insights: Understand the real cost of claims on profitability and retention. Correlated service load with revenue contribution. Surface experience signals that predict churn or advocacy.
View more +

See It at the Summit!

We're not building another dashboard; we're replacing passive reporting with decision intelligence: conversational, actionable, producer-facing, and built on a unified data layer that broker organizations actually don't have today. We're bringing Broker Advisor to the Databricks Data + AI Summit 2026.

Let’s Outcreate traditional dashboards! 

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