Weav.ai Agentic Tools are focused, invite-only tools that help insurers move faster on high-value workflows — with clearer insight and less manual effort. Pick your tool, sign up for invite-only access, and try it free.
Need more? Each tool is an entry point into the broader Weav.ai Decisioning Platform. For connected decisioning across Underwriting, Premium Audit, or Claims — with portfolio analysis, workflow configuration, or core system integration —request a free consultation.
Turn complex SOVs into decision-ready property insight
The Weav.ai Agentic Productivity Tool for SOV Analysis helps insurance teams transform scattered property schedules, submission documents, and external data into a normalized, de-duplicated view of risk. Instead of manually reconciling rows, chasing missing attributes, or rebuilding comparisons at renewal, teams can quickly understand exposure, detect material changes, and evaluate each property against appetite and underwriting guidelines.
The tool combines property data from multiple sources, enriches it with key exposure and CAT attributes, and makes the results available for natural-language questions — so underwriters, risk teams, and portfolio managers can move from raw schedules to clearer, faster, more defensible decisions.
Turn scattered loss history into a clear view of risk
Weav.ai's Agentic Productivity Tool for Loss-Run Analysis helps underwriting and claims teams transform prior loss runs from multiple carriers and lines of business into one consolidated, normalized loss history. Instead of manually reconciling inconsistent formats, re-keying claim details, or building trend analysis by hand, teams can quickly see loss patterns, evaluate reserve adequacy, and understand how an account measures against underwriting appetite.
The tool combines historical loss data with current policy claims activity, surfaces frequency and severity trends, and evaluates the full picture against your guidelines — so underwriters and claims professionals can move from raw loss runs to faster, clearer, more defensible decisions.
Verify what a business actually does — before you classify it
Weav.ai's Business Research Agent helps insurers confirm the right classification for every risk. The agent takes the class code submitted on an application, researches the business across public web sources, and compares what it finds against the operations that code actually describes. When the two don't match, you know before the policy is bound — not at audit, and not after a claim.
Misclassification quietly distorts pricing, loss ratios, and claim outcomes. The Business Research Agent replaces manual searching and guesswork with documented, evidence-backed classification, so premiums reflect real exposure and insureds are treated consistently and fairly.
Weav.ai's Payroll Agent helps premium audit and underwriting teams transform payroll reports from any provider into a normalized, state-by-state view of exposure. Instead of re-keying reports from different formats, manually sorting wages by class code, or chasing subcontractor detail across documents, teams get a consolidated exposure picture ready for audit and rating.
The agent reads reports from multiple payroll providers, breaks exposure out by state and class code, and separates wage types and subcontractor payments — so audits close faster and premium reflects the actual exposure.
Every submission, claim, and audit arrives with a stack of documents someone has to read. This agent generates contextual summaries of those documents — surfacing what matters for the decision at hand rather than producing a generic abstract — and delivers them directly into your workbench and policy admin system, so the context is waiting where the work already happens.
Produce the documents that move work forward. This agent generates quotes, audit reports, and underwriting reports from the data already in your workflow, then shares them across the organization. Every document is retained and accessible for regulatory review, so the record is built as you go instead of reconstructed later.
Commercial auto pricing depends on getting the fleet schedule right. This agent ingests vehicle and driver schedules in any format — spreadsheet, PDF, or ACORD form — and normalizes them into one clean, rating-ready row per unit. It validates VINs and extracts the fields that drive premium: year, make, model, GVW, cost new, garaging location, and radius classification (Verisk researchfound roughly 30% of vehicles operate outside their declared radius, averaging $625 per vehicle in premium leakage when misclassified).
An accurate census is the foundation of an accurate audit. This agent assembles a single, deduplicated roster of every employee and contractor in scope for the audit period, pulling from payroll registers, tax filings, and insured-submitted forms. It attaches roles and job duties to each person and resolves identity conflicts across documents automatically — giving downstream classification and remuneration work a clean, defensible starting point.
Process first notice of loss in minutes, not days. This agent takes FNOL from wherever it arrives — submission inbox, portal, or phone — extracts the details, and creates the claim directly in your claims administration system. It flags likely severe claims immediately so they reach the right adjuster first, and continues updating the claim as new information comes in.
Stop chasing documents by email. This agent stands up a secure, branded portal for a specific insured and transaction, automatically building the document checklist appropriate to that submission, audit, or claim. It sends the request, reminds on outstanding items only, and confirms when the set is complete — then hands the finished package straight into your ingestion workflow.
Turn your written guidelines into a working decision framework. Upload your underwriting and appetite guidelines and this agent converts them into a structured, weighted scorecard — identifying discrete criteria, proposing scoring levels, separating hard-stop declines from scoreable factors, and setting approve/refer/decline thresholds. Every line traces back to its source sentence, and business users can adjust it without code.
