Meet your AI Agent for Exposure Schedule Extraction and Review

Insurance-native intelligence

InsurGPT™ understands COPE data, occupancy codes, and the relationship between TIVs and location-level values — not just text in cells. It reads a schedule the way an underwriter does, and gets sharper on your portfolio every month.

COPE-Aware Extraction | Domain-native

Construction, occupancy, protection, and exposure fields are recognized as structured concepts — not pattern-matched strings. Occupancy codes resolve to their canonical meaning even when the broker's workbook uses local shorthand.

TIV Reconciliation | Relational

Location-level values are reconciled against schedule totals automatically. Mismatches between building, contents, and BI TIVs surface as flags, not silent errors buried 4,000 rows deep.

Portfolio Feedback Loop | Adaptive

Every reviewer correction becomes training signal. The Agent learns the quirks of your brokers, your formats, and your book — and gets measurably sharper on your portfolio every month.

Grounded extraction with X-Ray Mode

Every TIV, every address, every COPE field traces back to its exact cell or page. Reviewers verify in seconds, not minutes — and audit trails are built in, not bolted on.

X-Ray Mode | Traceable

Click any extracted value and jump straight to the exact cell, page, or coordinates it was sourced from. No hunting through tabs to confirm where a number came from.

Field-Level Citations | Cited

Every TIV, address, and COPE field ships with its source location attached. Review pages render the value alongside the original artifact, side by side.

Confidence Scoring | Calibrated

Each field carries a calibrated confidence score so reviewers know which values are safe to auto-accept and which deserve a second look before binding.

Intelligent document orchestration

A submission with an ACORD, an SOV, and supplementals isn't one workflow item — it's three. InsurGPT™ splits the package and routes each piece to the right model.

Package Splitting | Structured

Multi-document submissions are decomposed into their parts on arrival. The ACORD, the SOV, the loss runs, and the supplementals each become their own work item with the right context attached.

Model Routing | Specialist

Each artifact is routed to the model trained for it — ACORD parsers handle ACORDs, schedule models handle SOVs, narrative models handle loss runs. No generalist guessing across formats.

Workflow Handoff | Connected

Extracted data lands in your PAS, rating engine, or review queue in the shape your downstream systems expect — not a generic JSON blob someone has to remap.