The problem
Your intake channels are flooded with hundreds of submissions daily. Processed first in, first out, your team wastes hours on submissions that won’t meet coverage or risk profile guidelines. As a result, more profitable, high-value opportunities are buried until the broker moves on.
What it costs you
- Adverse selection — You keep the worst risks, competitors take the best
- Wasted time — Underwriter time is wasted on submissions you’ll decline anyway
- Missed revenue — You lose out revenue from deals that went elsewhere while you were sorting
The fix
Digital co-workers read every submission instantly, scoring it against your specific guidelines. So your underwriters only see the business worth winning.
The outcome
- Stop adverse selection at the front door
- Route only prioritized, winnable business to your team
- Dramatically reduce time spent on submissions you’ll never bind
The problem
Generating a complex commercial quote takes days because data must be manually extracted from PDFs and Excel schedules, then re-keyed into your pricing model. By the time you respond, the broker’s already bound elsewhere.
What it costs you
- Lost deals — Speed is the tiebreaker in commodity lines
- Capped quote volume — You can’t scale without more headcount
- Morale — A demoralized sales team that knows they’re too slow to compete
The fix
Digital co-workers automatically extract, structure, and map risk data from messy documents directly into your rating engine without any human touch.
The outcome
- Dramatically faster quotes — often same-day
- Bind before competitors respond
- Process is significantly higher quote volume with the same team
The problem
Claims adjusters spend their time acting as forensic archaeologists, digging through underwriting files, policy documents, and medical records scattered across multiple systems. The friction causes delays, inflates LAE, and drives customer churn.
What it costs you
- Extended cycle times — Weeks to make coverage decisions that should take hours
- Increased costs — Increased Loss Adjustment Expenses on every additional day of investigation
- Churn — Customer churn after a bad claims experience at renewal
The fix
We build a live context graph that links the original underwriting intent directly to new claims evidence, instantly validating coverage and summarizing liability so adjusters can act.
The outcome
- Valid claims are paid fast, so customer satisfaction improves significantly
- Adjusters catch fraud faster, identify subrogation earlier, and make more consistent coverage decisions
- Adjusters focus on judgment calls, not document hunting
