Transform 200-page county budget PDFs into actionable underwriting intelligence, with every claim traced to evidence and every supplemental form justified by rule.
How much risk signal is buried in budget documents that no underwriter has time to decode, and what happens when that signal surfaces after a loss?
Counties and municipalities operate jails, water treatment plants, law enforcement, transit systems, and healthcare facilities. Each carries distinct liability profiles. Yet underwriters receive the same 200-page budget PDF and 15 minutes to figure it out.
Department names vary wildly. "Public Safety" might mean sheriff, fire, and EMS combined, or just code enforcement. Without classification, concentration risk hides in plain sight.
PFAS litigation, consent decrees, ransomware attacks: the intelligence exists in news articles and public filings, but searching takes hours. And even when found, validating it relates to this county (not a similarly named one) requires expertise.
"Why did we request the Law Enforcement form?" Senior UWs know intuitively. The rule lives in their heads, not in a system auditors can verify.
A 200-page PDF lands in the underwriter's queue. Maybe Excel exports if they're lucky. Usually just scanned images of printed pages.
⏱ Day 1 lost to extractionUW scrolls through looking for "red flag" words: jail, sheriff, water, transit. Concentration analysis? Only if there's time (there isn't).
⚠️ 40% of high-relevance departments missedQuick search for "[County Name] lawsuit" or "PFAS." Results mixed with other jurisdictions. No systematic coverage of all risk domains.
🎲 Hit-or-miss intelligenceExperienced UW knows to request LE Supplemental when jail budget is "big." But what's big? Why? No documented threshold or rule chain.
📋 Undocumented decision logicSenior UW writes assessment based on what they noticed and remember. No link to source data. No audit trail. No year-over-year comparison.
🔍 Unverifiable conclusionsNot a black-box risk score. A transparent, auditable system where every claim links to evidence, every supplemental traces to a rule, and the underwriter remains in control.
Underwriters read prose, not pivot tables. The system synthesizes findings into executive narrative with clickable citations. Hover to see the source, click to drill into evidence.
Every supplemental form shows a 3-step reasoning trace: Detection → Association → Determination. Auditors see exactly why Law Enforcement Supplemental was required.
When confidence is low or entity validation uncertain, findings surface with yellow flags, not buried in logs. The underwriter decides, not the algorithm.
A coordinated set of capabilities transforms raw budget data into classified departments, verified external intelligence, and audit-ready supplemental logic. All findings persist to enable year-over-year benchmarking and trend analysis.
Vendor-extracted budget data flows through pattern matching and alias resolution. Each line item maps to one of 87 canonical departments with confidence scores. High-relevance departments like Sheriff, Jail, and Water Treatment trigger coverage analysis. Results persist to enable year-over-year comparison of allocation shifts and concentration changes.
The system dynamically scans public domain sources including news articles, government filings, court records, and regulatory announcements across 8 risk domains. Findings are validated to confirm they relate to the correct entity, not a similarly named jurisdiction. Source credibility is scored. Boilerplate language from audit documents is filtered. Uncertain findings surface for human review. All intelligence persists to track how a county's risk profile evolves over time.
When water departments are detected, the system gathers PFAS levels and checks EPA and state compliance thresholds. Active contamination proceedings and consent orders are identified. With a $2.4M average settlement per event, this capability pays for itself on the first catch. Historical compliance data enables trending of environmental exposure.
All findings synthesize into an executive narrative with hotspot citations linking each claim to its source. Logic chains explain every supplemental form requirement. A composite risk signal summarizes overall exposure. Underwriters get prose they can read and evidence they can verify.
Every submission, classification, and intelligence finding persists to a structured data layer. This enables powerful benchmarking: compare this year's budget allocation against last year's, track how detention spending trends across similar-sized counties, monitor whether flagged litigation has resolved. The underwriter sees not just a snapshot, but a trajectory.
AI assistance only earns underwriter trust when every conclusion can be verified. The system is designed for auditability, not as an afterthought, but as architecture.
Every claim in the narrative links to source evidence. "14% expansion in Detention" leads directly to the budget line item, page number, and classification confidence.
Supplemental forms show reasoning: Step 1 (Detection), Step 2 (Risk Association), Step 3 (Rule Application). Auditors trace the path from data to decision.
Low-confidence items do not disappear. They surface with yellow flags and "Requires UW Review" status. The human makes the call, informed by AI but not replaced by it.
Every operation logged with timestamp, version, and duration. Reproducible runs. Compliance-ready documentation generated automatically.
Transform multi-day manual review into sub-minute automated analysis. Underwriters spend time on judgment calls, not data extraction and news searches.
Systematic classification of all 87 department types. Intelligence search across 8 risk domains. No more "we didn't know they had a jail."
AI verifies that findings relate to this county, not a similarly named district. Boilerplate filtered. Source credibility scored. False positives caught before they mislead.
Persistent data enables benchmarking: How did detention spending change? Did that PFAS issue resolve? What are peer counties allocating? Context transforms snapshots into trajectories.
Same budget, same rules, same classification, regardless of which UW handles it. Eliminate analyst-to-analyst variation. Codify institutional knowledge.
Pre-curate intelligence for 3,144 counties. Refresh quarterly. When submissions arrive, cached data is ready. New customer? Same-day turnaround.
Join forward-thinking underwriting teams using AI to uncover risk signals, justify decisions, and move faster, without sacrificing governance or control.