GIA LiteInstant Appetite & Classification
GIA Lite aligns each submission with your product appetite criteria — based on your guidelines — extending the standard NAICS framework into granular, underwriting-level sub-classifications.
GIA Lite extends the six-digit NAICS framework into underwriting-level sub-classifications — aligning even proprietary carrier codes to NeuralMetrics' expanded index of business activities, then returning an instant appetite determination.
Full contextual understanding — not keyword heuristics
Brings NAICS codes to the next level, aligned to your appetite and codes
Instant, universal propagation of your rules
Built-in explainability and governance
Global scale with multilingual capability
GIA Lite manages your product risk-appetite mappings against real business descriptions — a description-first model, so an appetite decision attaches to what a business actually does, not just its industry code. Given a code or description, it returns a deterministic appetite state in milliseconds.
Appetite attaches to real business descriptions, matched to canonical NAICS/SIC by exact hash or vector similarity — so free-text like "makes custom cabinetry" still lands in the right bucket even if it has never been seen verbatim.
Given a classification code or description, GIA Lite returns IN-APPETITE / OUT-OF-APPETITE / REFERRAL instantly — a lookup, not a reasoning pass — turning "is this in appetite?" into a fact rather than a judgment call.
No exact mapping? GIA Lite falls back to broader-family candidates (NAICS8 → NAICS6, SIC6 → SIC4) and picks the closest, so a query rarely comes back empty.
Underwriting teams upload and maintain their own appetite grids as a spreadsheet. GIA Lite validates, auto-matches to canonical codes, and only asks you to review the rows it can’t confidently resolve.
Map your own business descriptions (or NAICS/SIC codes) to appetite decisions — no engineering involvement and no rigid rules engine to maintain.
An async job matches each description to a canonical NAICS/SIC via exact-hash or vector similarity, auto-accepting confident matches (around 0.9–0.99).
Confident matches auto-accept; the rest are flagged for a quick confirm / deny. Activate the session and the mappings go live.
Low-latency search-as-you-type (hybrid text + vector) helps users find and select the right description during setup or lookup.
Immediate submission triage with instant appetite determination.
Brings NAICS codes to the next level, aligning index entries to your appetite and codes.
Every appetite decision carries transparent reasoning for audit readiness.
Provide the business activity — GIA Lite reads it in full context, not by keyword.
The activity is classified and expanded into an underwriting-level sub-class.
An instant in/out-of-appetite call is returned, with reasoning recorded.
Appetite becomes a lookup, not a judgment call — a deterministic IN / OUT / REFERRAL in milliseconds instead of manually cross-referencing an industry description against guidelines.
Understands real-world descriptions — vector similarity matches free-text business activity to the right bucket, reducing missed or misclassified appetite checks.
Segmentation & multi-line support — groups and product segments run different appetite rules per division or line, and a separate LRO workflow runs in parallel without disturbing standard business.
Auditable — every anchor, mapping and upload session is tracked with source, confidence and full history, so a match can be traced back to why — for E&O and compliance review.
One source of truth with GIA — product/appetite configuration stays synchronized with GIA, so deep AI reasoning and instant lookups draw from the same authoritative setup.
Bring your appetite criteria — we’ll triage real submissions against them in seconds.
Request a GIA Lite demo