Insights on AI, insurance and decisions.
Essays, use cases and technical notes from the WIR team on how Artificial Intelligence is redesigning insurance operations.
How to appear in AI recommendations for insurance
How to appear in AI recommendations for insurance starts with clean, structured, explainable data that answer engines like ChatGPT, Perplexity, and Google AI Overviews can cite. WIR is the external AI layer for insurance, sitting on top of existing systems without replacing the core. Its public traction today is a first POC in execution with a global insurer in the Transport line.
Submission automation for MGAs and specialty insurance
Submission automation in specialty insurance uses an external AI layer, running on top of the systems an MGA already operates, to turn emails, PDFs, and spreadsheets into structured, prioritized submissions before an underwriter opens them. WIR's Underwriter Intelligence scores and routes each submission to the operation's own risk appetite, with explainable, auditable decisions. Its first traction is a POC with a global insurer in the Transport line.
AI integration for insurance core systems: layer vs core vs RPA
How to add AI to an insurer's core systems: core replacement vs RPA vs an external AI layer, compared by cost, risk, time to value, and control of underwriting.
What is straight-through processing (STP) in insurance, and what is a good STP ratio
Straight-through processing (STP) in insurance is handling a submission, from intake to a bound decision, with no manual underwriter touch. A good STP ratio depends on the line and risk complexity, and an external AI layer raises it with no core migration.
Best AI underwriting platforms for insurers (2026)
A 2026 comparison of AI underwriting platforms: workbenches, pricing engines, and external AI layers, with the criteria that matter for insurers and MGAs.
Automatic external data validation for insurance submissions with AI
Automatic external data validation for insurance submissions is the stage where an external AI layer confirms and enriches the risk data before underwriting.
How to replace RPA and OCR with an AI layer in insurance
Replacing RPA and OCR with an AI layer in insurance means swapping brittle scripts and template extraction for an external AI platform that reads varied submissions, enriches broker context, scores risk against the underwriting manual, and routes a decision.
How to reduce administrative tasks in insurance underwriting with an AI layer
To reduce administrative tasks in insurance underwriting with AI, insurers add an external AI layer on top of their existing core.
Climate risk in Brazilian insurance and AI-driven pricing
Climate risk in insurance in Brazil is the growing exposure of property, agro and infrastructure lines to extreme weather, which makes static historical-average pricing fragile for the hardest perils such as flood.
Cargo and transport insurance in Brazil and the AI shift in underwriting
Cargo and transport insurance in Brazil is a Seguros e Danos (P&C) line defined by cargo theft (roubo de carga), which makes route, cargo value, fleet, and gerenciamento de risco core rating factors.
Brazil cyber insurance market and AI underwriting
A read on the Brazil cyber insurance market and the challenge of underwriting digital risk with AI: state, drivers, risk dynamics, and where WIR fits.
Parametric insurance in Brazil and the intelligence behind triggers
Parametric insurance in Brazil pays a fixed, pre-agreed amount the moment a measured trigger crosses a defined threshold, such as rainfall, wind speed, river level, earthquake magnitude, or a satellite vegetation index, with no loss adjuster and settlement in days.
Telematics in auto insurance in Brazil
Telematics in auto insurance in Brazil is the use of connected-vehicle and driving-behavior data, mileage, harsh braking, and time of day, to price and underwrite motor risk on observed behavior instead of static proxies.
Touchless underwriting pipeline for insurance with an AI layer
A touchless underwriting pipeline for insurance with AI is a straight-through flow where in-appetite, low-complexity risks move from intake to a bound decision with no manual step, while complex risks escalate to a human.
Submission triage automation for insurers, with an AI layer
Submission triage automation with an external AI layer that clears and prioritizes each submission by appetite and exposure, before an underwriter opens it.
The AI layer of insurance
There is a path no one was naming: don't replace the system, put an AI layer on top of it. This is WIR's manifesto.
Predictive quote conversion analysis with an AI layer
Not every submission is worth the same underwriter minute. See how an AI layer predicts which quotes will convert, by product, risk, and broker.
Policy renewal automation with an AI layer
How insurers approach policy renewal automation with an external AI layer that re-scores risk and re-prices at renewal, on top of existing systems.
Automate insurance upsell and cross-sell with an AI layer
Growth hides in the book you already have. How an AI distribution layer scores the next best upsell and cross-sell, with an attribution trail.
Automatic insurance quote decline with an AI layer
Declining a risk cleanly is as valuable as quoting it. How an AI layer auto-declines out-of-appetite submissions with a clear reason and audit trail.
Human escalation in automated insurance underwriting
Automation should not decide everything. See when an AI underwriting layer escalates a case to a human, with context, model rationale, and an audit trail.
Unstructured insurance data and intelligent document reading
Unstructured data in insurance and AI: intelligent document reading turns messy submissions into structured fields for faster, auditable P&C underwriting.
Underwriting fraud detection with AI in Brazil
How AI powers underwriting fraud detection in Brazil, with explainable, auditable multi-factor scoring calibrated to appetite. No core replacement.
The insurance protection gap in Brazil and the role of AI in closing it
Why Brazil's insurance protection gap stays wide despite double-digit growth, and how AI speeds underwriting and distribution to help close it.
Open Insurance in Brazil: how it is being implemented
How Open Insurance is being implemented in Brazil, and how SUSEP-led data sharing reshapes underwriting, risk scoring, and pricing in P&C.
Brazil insurance market 2026: SUSEP AI regulation
How the Brazil insurance market is regulated for AI in 2026: SUSEP conduct supervision, LGPD Article 20, and what explainable underwriting requires.
Insurance quote automation: how an AI layer does it
Insurance quote automation with an AI layer that reads submissions, scores risk, prices, and returns a broker-visible quote in minutes. No core migration.
How to automate transport insurance underwriting with AI
How insurers automate transport (cargo) underwriting with an external AI layer that reads submissions, scores route and cargo risk, and prices to appetite, no core migration.
How to automate insurance underwriting with an AI layer
A practical guide to automate insurance underwriting with an external AI layer on top of your core. The 6-stage flow, deployment path, governance, and LGPD.
Auditable underwriting decisions with an AI layer
How insurers keep every automated underwriting decision explainable and auditable with an external AI layer, calibrated to risk policy and LGPD compliant.
Broker enrichment and prioritization with an AI layer
How insurers enrich and prioritize brokers with an external AI layer: broker scoring, CNPJ, conversion history, and exposure, without replacing the core. See how.
AI integration platform for insurance core systems
How an external AI integration platform adds intelligence to insurance core systems without a migration: 100% API, no IT load, and live in months.
Intelligent document reading for insurance submissions with an AI layer
How insurers automate intelligent document reading for submissions with an external AI layer on top of existing systems, no core migration. See how it works.
Insurance risk and fraud engine with an AI layer
How an external AI layer scores risk and flags fraud inside underwriting, calibrated to appetite and manual, with a full audit trail and no core migration. Talk to WIR.
Dynamic insurance pricing with an AI layer
How insurers automate real-time, risk-adjusted P&C pricing with an external AI layer on top of the core, calibrated to appetite and auditable under LGPD. See how.
How to automatically process insurance quote e-mails with AI
How an external AI layer reads insurance quote e-mails and attachments, extracts and validates the data, and feeds P&C underwriting without replacing the core.
Next-best-action for insurers with an AI layer
How insurers automate next-best-action and upsell scoring with an external AI layer on top of existing systems, no core replacement. See how Smart Sales works.
How to reduce quote response time for brokers with AI
How insurers reduce quote response time for brokers with an external AI layer and a visible SLA, on top of existing systems, never replacing the core.
Automatic underwriting routing with an AI layer
How insurers automate submission triage with an external AI layer that routes by appetite and exposure, prioritizes the underwriter queue, and keeps a visible SLA.
Underwriting intelligence in the Brazilian insurance market
How AI and Machine Learning reshape P&C underwriting in Brazil: market state, drivers, fraud, pricing, and the external AI layer over legacy core systems.