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Conversationally capturing warranty claims, validating policy eligibility in real time, and automatically creating structured claim records; eliminating manual data entry while ensuring complete, accurate, and policy-compliant claim submissions.
| claim_id | DWG-88213 |
| vin | 1FTFW1E5XLKE12345 |
| issue | Transmission – gear slip |
| status | verified |
| filed_in | 2m 14s |
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The warranty and insurance companies often get FNOL submissions through long and cumbersome forms which annoy customers and result in missing, erroneous, and inconsistent data. Missing car details, faulty VIN numbers, invalid miles, and data entry are common issues which result in inefficiency in the claims process.
To address such problems, Augmantis, backed by eComStreet, developed the AI Claim Creator Agent which turns conventional claims intake into a smart conversation-based process. The AI takes care of the conversation with the customer, validates each and every response provided by the customer, checks if the warranty is still valid, and creates enterprise claim records out of the conversation automatically.
Automates claim entry through an AI-enabled conversational interface that facilitates claims submission through conversations between customers and the repair shop using natural language processing technology.
Validates the identity of the customer and confirms their eligibility for warranty services based on live policy data from the enterprise’s database systems.
Continuously validates customer inputs using deterministic business rules to verify VINs, odometer readings, dates, and required fields before data enters enterprise claims systems.
Automatically converts validated conversations into structured, enterprise-ready claim records aligned with backend database schemas, eliminating manual data entry and accelerating downstream claim processing.
Enterprise claim creation demands far more than conversational AI. Every customer response must be validated, policy eligibility must be confirmed, and claim records must comply with enterprise data standards before entering downstream claims workflows.
Traditional conversational chatbots primarily focus on understanding user intent but often accept incomplete, incorrectly formatted, or logically inconsistent information. Invalid VINs, inaccurate odometer readings, improperly formatted dates, and ambiguous customer responses frequently create poor-quality claim records that require manual correction before processing can begin.
Augmantis engineered a Stateful Validation-First Architecture that combines conversational AI with deterministic backend validation. Instead of immediately storing customer responses, every interaction passes through Python-driven validation logic that evaluates:
Customers expect a frictionless claims experience, yet insurers must ensure only eligible contract holders can initiate warranty claims. Traditional authentication methods introduce unnecessary friction while increasing abandonment rates.
The AI Claim Creator Agent incorporates an Automated Live Policy Verification Gateway. Using only the customer's Last Name and Vehicle Identification Number (VIN), the platform securely queries enterprise policy databases in real time. If an active contract exists, the AI:
The AI Claim Creator Agent combines conversational AI, deterministic validation, live policy verification, and enterprise workflow automation to create complete, accurate, and policy-compliant warranty claims without manual data entry.
The AI Claim Creator Agent eliminates conventional web forms for claims and integrates a smart conversational flow that leverages Amazon Bedrock Foundation Models. Instead of having users fill out long forms, the AI intelligently converses with the customer or the repair facility and gathers all the information required to create a claim, using previous answers to inform subsequent questions.
Prior to claim creation, AI first validates customer eligibility by matching the claimant's Last Name and Vehicle Identification Number (VIN) with live databases of enterprise policies. If an active policy is found, it is instantly authenticated, enabling customer and vehicle details to be filled in automatically within the chat session. This ensures that any invalid or non-active policy cannot create a fraudulent claim.
The system utilizes a deterministic validator that continually checks each customer input prior to progressing further in the dialogue process. The business rules for validation in Python validate the VIN number format, check for the correct number of digits in the form of 17, transforms natural language values into structured data, ensures logical odometer numbers, and ensures field requirements are met.
After the validation of customer data, the AI will be able to generate structured enterprise claims out of natural language dialogue. The symptoms, the description provided by the customer, as well as all other relevant information, is logically structured into pre-defined back end databases, allowing for claims to be created in a standardized manner.
The AI Claim Creator Agent is built on a secure, cloud-native architecture capable of supporting high-volume conversational claim intake across enterprise warranty and insurance environments.
Enterprise-grade foundation models understand customer conversations, interpret natural language, and generate structured responses throughout the claims intake workflow.
Agentic AI coordinates backend services, executes validation logic, invokes enterprise APIs, and manages conversational workflows autonomously.
Python-based deterministic validation continuously verifies customer inputs before allowing the conversation to progress.
Secure APIs connect conversational workflows with warranty management systems, policy databases, CRM platforms, and enterprise claims software.
Complex form-filling and manual intake were replaced with a seamless, 24/7 conversational experience.
In a fraction of the time compared to typical web forms, conversational AI collects necessary data and automatically generates structured claim records while guiding users in an intelligible manner.
Stateful, dynamic validation logic intercepts and corrects invalid user inputs (e.g., VINs, dates, odometers) in real-time before database ingestion.
The AI parser completely eliminates the need for intake staff to manually transcribe or re-format customer problem descriptions into the core database.
Eliminates incomplete and inaccurate claim submissions through deterministic real-time validation.
Automatically verifies active warranty coverage before claim creation, reducing fraudulent or ineligible claim requests.
Generates structured enterprise-ready claim records without manual data entry or administrative intervention.
Accelerates First Notice of Loss (FNOL) processing while reducing claim intake time from several minutes to only a guided conversation.
Improves downstream claims automation by ensuring every claim begins with complete, validated, and policy-compliant information.
Reduces operational costs by minimizing manual data correction and administrative processing.
Every component chosen for enterprise reliability, security, and cost efficiency.
No sales process. No deck. No long-term contracts. Just a direct conversation about what we'd build for your claims operation — and a working AI system in 4 weeks.
Augmantis is the AI engineering division of eComstreet, built to bring production-grade agentic AI to US businesses. We design, build, and ship AI systems that handle real workflows — claims, operations, support, and beyond — using a US + India engineering team with 15+ years of delivery experience behind us.
We don't do demos. We do production.
