ISI AITM
Trusted AI for Insurance Submission Handling
ISI AI helps insurers and MGAs turn complex submissions into decision-ready data and underwriting insights. Purpose-built for insurance workflows, it brings more trust, consistency, and control to submissions ingestion while helping underwriting teams stay focused on risk.
Turn Submission Complexity into Trusted Underwriting Support
Submission data rarely arrives in one clean format. Emails, applications, schedules, supplements, portal inputs, and handwritten documents all need to be interpreted, structured, and reviewed before underwriting can begin.
ISI AI helps insurers and MGAs extract, structure, normalize, and validate submission data through automated underwriting data extraction, while generating underwriting insights aligned to insurer-defined rules and risk appetite. The result is more consistent submission intake, less manual effort, and more focused underwriting review.
Decision-Ready Data
Start with complete, structured information rather than manual rekeying and document interpretation.
Underwriting Insights Aligned to Your Rules
Support more consistent risk evaluation using insurer-defined guidelines, business rules, and risk appetite.
Focused Review Where It Matters Most
Surface lower-confidence or higher-impact items for review instead of requiring broad rechecking across every submission.
Build a Foundation for AI-Enabled Insurance Workflows
Developed through rigorous testing and real-world insurer collaboration, ISI AI streamlines submission handling today while creating a foundation for AI-enabled innovation across the entire insurance lifecycle.
AI Agents Purpose-Built for Insurance Workflows
ISI AI uses agents to handle submissions with more trust, consistency, and control.
Submission Agent
Interprets complex submission documents, identifies form types, and structures information for underwriting workflows.
- Adapts to different submission formats, complex schedules, and handwritten documents.
- Selects the right extraction approach.
- Runs self-correction when an issue is detected.
Underwriting Agent
Reasons across multiple submission and guideline documents to generate LOB-specific insights, validate outputs, and escalate exceptions with transparency.
- Aligns insights to underwriting rules and risk appetite.
- Validates outputs against underwriting schemas.
- Escalates higher-impact decisions for human-in-the-loop review.
Timely and attentive service is important to our policyholders. ISI AI will speed up the intake process and allow our underwriters to focus on what they do best, making informed decisions and engaging with our insureds.
Integrating ISI AI brings advanced automation into key workflows, helping our underwriting team member continue to deliver timely, high quality services to our members across California.
FAQs
How can ISI AI support our submission intake and underwriting workflows?
ISI AI turns unstructured submission documents into structured, decision-ready data and underwriting insights. Its Submission Agent extracts, structures, and validates submission data, while its Underwriting Agent applies insurer-defined rules, generates insights, and escalates exceptions for review.
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Can ISI AI work with our existing core system?
Yes. ISI AI can be implemented without ISI Core and integrate with an existing core system or Policy Administration System through APIs. This allows insurers and MGAs to introduce AI-enabled submission handling within their current underwriting workflows.
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What types of submission documents can ISI AI process?
ISI AI supports PDFs, scanned documents, spreadsheets, ACORD, CSIO, and ISO-based applications, as well as broker-specific templates. It can also interpret complex schedules and handwritten documents.
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How does ISI AI align with our underwriting guidelines and risk appetite?
ISI AI evaluates submission information against insurer-defined guidelines, business rules, underwriting schemas, and risk appetite. This supports more consistent risk evaluation while allowing each insurer or MGA to maintain its own underwriting approach.
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How does ISI AI keep underwriters in the loop?
ISI AI uses confidence scoring, rule-based validation, and human-in-the-loop review. Lower-confidence or higher-impact items are flagged so underwriters can review and validate the information before it is passed to ISI Core or an existing Policy Administration System.
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How accurate and fast is ISI AI when processing submissions?
In production use, ISI AI agents have achieved more than 98 percent field-level accuracy for submission intake and underwriting insights. Typical processing times average under one minute per submission.
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How can ISI AI help our underwriting team focus on higher-value work?
ISI AI reduces manual document interpretation and data entry, supports faster submission triage, and provides structured information for underwriting review. This helps underwriters spend more time evaluating risk, making informed decisions, and engaging with brokers and policyholders.
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