Claims AI Assessment: Take the test now
Claims AI Assessment: Take the test now
Platform
Sprout.ai injects intelligence into claims management processes.
Why Sprout.ai?
Our purpose-built AI eliminates manual work in insurance claims processing – automating what’s routine, and empowering claims handlers with smart tools to quickly resolve the rest.
Robust decision support with AI-generated, data-driven recommendations & rationale, presenting case & claims handlers with insights that raise confidence in decision-making.
Exceptional accuracy enabling decisioning based on data that staff & customers trust to be right.
Data-driven decision making ensures that customer outcomes in even the most complex cases are fair, reliable & explainable.
Proven scale & agility processing millions of cases & claims annually with unlimited capacity to scale (up & down) quickly.
Rapid implementation with seamless integrations, modular design & SaaS deployment. Deploy in as little as 3 months.
How it works
Built for insurance. Trained in insurance. Trusted by insurers.
Our platform has five modules that can be used individually to address specific challenges, or combined to span your end-to-end claims processes.
The following example shows how Sprout.ai brings complete claims lifecycle automation and intelligence to your business.
Rapidly capture & prioritize every claim. Empower teams to manage workloads more efficiently.
Our Document Processing and Coding & Enrichment modules extract, codify, and enrich data captured from unstructured documents – with exceptional speed and accuracy.
This rich, codified data fuels onward claims handling processes, including policy checking, fraud detection, and decisioning.
Instantly convert very high volumes of unstructured data with AI-OCR – from a wide variety of inbound claim documents – into clean, structured data.
This enables seamless, cost-efficient automation across the entire claims handling process.
Supplement internal records with external intelligence to build an enhanced, 360-degree view of a claim. This enables rapid, accurate validations on key claim data.
Our models enrich extracted field data with external APIs, medical databases, and web intelligence to fill gaps, cross-check accuracy, and strengthen claim insights.
Auto-adjudicate the majority of claims. Deliver actionable insights that enable claims handlers to resolve complex claims quickly, and with precision.
Our Policy Coverage Checking, Fraud Flagging, and Decisioning modules deliver fully automated, straight-through processing of claims, whenever possible.
In complex or exceptional cases requiring human intervention, these modules provide claims handlers with intelligent, actionable insights and recommendations that increase the efficiency, consistency, and accuracy of every claim.
Enable fast, accurate, and complete policy compliance checking.
Automatically interpret policy documents, extract relevant clauses, cross-reference them with enriched claim data, and validate coverage terms, exclusions, and limits.
Gain early detection of potential fraud using internal and external data sources.
Automatically generate actionable, claim-level fraud insights and risk assessments. Analyze documents for authenticity, extract key claim information, and identify anomalies and unusual patterns that could reveal bad actors at work.
Empower claims handlers with real-time, data-driven insights and recommendations – along with the rationale to explain them – via AI-assisted claim review screens.
Both staff and customers can be confident that the decision is reasoned and fair.
Sprout.ai
We handle documents in virtually any language, achieving best-in-class accuracy (even for Japanese), so we can support global insurers & multi-national operations.
Effortlessly connects to leading claims management systems, ensuring seamless integration & workflow continuity – Guidewire, Duck Creek, Majesco, Sapiens, Insurity, EIS, BriteCore, DXC & more.
All decisions are traceable, referenced and explainable to customers and regulators, providing assurance for risk, compliance & operational business leaders.
48% of policyholders don’t believe insurers have their best interests at heart. Providers who fail to invest in treating customers fairly and thoughtfully pay the price in lost revenues.
Winning new customers costs 7-9x more than keeping current policyholders happy, yet 30% of dissatisfied claimants switch, citing claims experience as a bigger reason than price.
Most popular AI in insurance use cases. Why insurers buy, not build. Our AI journey.
What types of AI are used in Sprout.ai's insurance claim automation platform?
Sprout.ai utilizes a composite AI architecture purpose-built for end-to-end insurance workflows:
Does Sprout.ai replace existing core claims handling systems?
No. Sprout.ai operates as an intelligent processing layer that integrates directly into your existing infrastructure without requiring system replacement.
Through flexible REST APIs and native pre-built connectors (including a prebuilt accelerator available on the Guidewire Marketplace), Sprout.ai syncs seamlessly with leading core platforms such as Duck Creek, Majesco, Sapiens, Insurity, EIS, BriteCore, and DXC. It ingests inbound documentation, processes policy checks, and injects real-time recommendations back into your current claims handler interface.
Which core claims management systems does Sprout.ai integrate with?
Sprout.ai integrates natively with leading core platforms via flexible REST APIs. As a certified Guidewire Marketplace partner, it offers direct compatibility with Guidewire ClaimCenter.
The flexible REST APIs follow a similar integration pattern to support integration withDuck Creek, Majesco, Sapiens, Insurity, EIS, BriteCore, and DXC. It acts as an intelligence layer, feeding real-time recommendations straight into your team’s existing workflow without replacing core systems.
How does Sprout.ai handle complex, multi-language document processing?
Sprout.ai’s Intelligent Document Processing module uses proprietary AI-OCR models, Computer Vision, and natural language understanding to extract structured data from complex claims documents, including medical records, legal filings, and receipts. It handles structured and unstructured layouts, handwritten text, and non-Latin scripts (such as Japanese) with up to 99% accuracy, turning raw text into actionable data for fast policy checking and settlement.
Is Sprout.ai easy to implement within existing enterprise workflows?
Yes. Designed as a cloud-native SaaS platform, Sprout.ai deploys in as little as 3 months. It connects directly to core claims systems via REST APIs, cutting processing times from weeks to minutes. Claims teams can deploy individual modules (such as Intelligent Claim Intake, Intelligent Document Processing, Policy Coverage Checks, or Fraud Flagging) independently to target specific operational bottlenecks, or combine them to enable end-to-end straight-through processing (STP).
What is the typical deployment timeline for Sprout.ai's platform modules?
Sprout.ai is a cloud-native SaaS solution that deploys in as little as 3 months. Thanks to its modular architecture, insurers can implement individual tools (such as Intelligent Document Processing, Policy Checks, or Fraud Flagging) to fix immediate operational bottlenecks, or combine all five modules for full end-to-end claims lifecycle automation.
What makes Sprout.ai's insurance automation platform different from generic AI?
Sprout.ai is built specifically for insurance claims, with models trained on claims documents that outperformed leading general AI models on real claims in every market we tested. It processes documents in 50+ languages, including handwritten forms, and scales to millions of claims a year.
Unlike generic AI, it gets more accurate with every handler correction, and every recommendation traces back to the source document and policy terms. Because pricing is tied to committed outcomes rather than token usage, costs stay predictable as claim volumes grow.
Why do insurers buy an AI platform instead of building in-house?
Building enterprise-grade claims AI in-house requires scarce engineering talent, ongoing model maintenance, and deep domain data, often taking 18–24 months before seeing initial ROI. Buying a purpose-built platform like Sprout.ai provides four critical advantages:
Is Sprout.ai ISO 27001 certified and compliant with insurance data privacy standards?
Yes. Sprout.ai is ISO 27001 certified (Cert No. 12285) and fully compliant with global data privacy frameworks, including GDPR. All data is encrypted at rest and in transit within secure cloud environments. The platform also provides full, audit-ready decision trails, ensuring every automated recommendation is transparent and explainable to compliance officers and regulators.
