InQuery: AI Assistant for Insurance Claims Processing
InQuery · Marketing · Chatbot
InQuery is an AI assistant for insurance claims teams. It pulls case details out of documents and calls, chases missing records, and flags fraud risk inside the claims system a carrier already runs.
About InQuery: AI Assistant for Insurance Claims Processing
What Is InQuery
InQuery is a claims management system built for the people who work claim files all day: adjusters at carriers, state insurance funds, self-insured employers and third-party administrators. The company came out of Y Combinator's W24 batch, founded in 2023 by Stanford computer science classmates Erick Enriquez and Khalil Miri.
The pitch is narrow on purpose. Claims staff spend hours doing clerical work that carries no judgment: typing up call notes, hunting through policy language, copying dates and diagnoses from a 300-page medical file into a handful of fields. InQuery hands that work to AI agents so handlers can spend their day on settlement strategy and negotiations instead. The same gap shows up on the other side of the desk. Claimants who cannot get a straight answer hire lawyers, and litigation drags out files that should have closed months earlier.
The limits matter as much as the features. InQuery sells to organizations, not individuals, and there is no free tier or self-serve signup. Everything runs through a sales conversation, a security review and an integration with the customer's existing claims platform. If you handle a dozen files a month on your own, this is more system than you need.
Getting Started
- Book an intro call with the InQuery team and describe your claim volume, line of business and current claims platform.
- Run a security and compliance review. The company provides a HIPAA business associate agreement and reports SOC 2 audited controls.
- Connect the assistant to your claims management system so extracted fields land in your existing case records.
- Pick one workflow to start with, often first contact or document intake, then expand as your team gets comfortable.
Product Information
A quick look at InQuery: AI Assistant for Insurance Claims Processing's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Claims adjusters at carriers
- Third-party administrators and state insurance funds
- Self-insured employers
Tasks
- First contact with claimants and providers
- Chasing medical records
- Fraud and inconsistency screening
Scenarios
- A Monday morning stack of new files
- A claim stalled on missing records
- A medical file with hundreds of pages
Key features
Claim Data Capture From Documents and Calls
Claims document extraction reads PDFs, scanned records and phone transcripts, then fills the fields your system expects: claimant details, injury codes, treatment history, dates of loss. Every value keeps a link back to the page or line it came from, so a reviewer can check the source in a click instead of rereading the file.
AI Voice Agents for First Contact
An AI voice agent handles the opening call with claimants, providers and witnesses. It collects statements, asks for documents and records the answers in a structured form. Handlers get a summary plus the transcript, which removes the hour of retyping that usually follows a call.
Automated Follow-Up Across Channels
Missing paperwork is the main reason claims age. InQuery sends and answers follow-ups over SMS, email, webchat and phone, keeping one thread per request. The system escalates to a person when a provider pushes back or a request keeps failing.
Source Tracking for Auditable Records
Every extracted data point carries its origin, which matters at audit and at settlement. If a regulator or a plaintiff's attorney asks where a date or diagnosis came from, the answer is already attached to the field. Data quality checks flag empty required fields before a file moves forward.
Fraud and Inconsistency Checks
The assistant compares statements, documents and billing patterns across the life of a claim, looking for contradictions and unusual provider behavior. It does not approve or deny anything. It raises a flag with supporting evidence and leaves the call to an examiner, which keeps a human in the decision path.
Medical Record Review and Retrieval
InQuery runs a record retrieval service alongside the software. The team and its agents identify the right facility, check authorization forms, submit, and chase until records land, in all 50 US states. A medical record review layer then organizes the pages into summaries a handler can act on.
Pros and cons
Pros
- Targets the dullest part of the adjuster workflow: typing, copying and chasing, not the judgment calls that need a person.
- Source links on extracted fields make claim files easier to defend in an audit or a dispute.
- Works with the claims platform a carrier already runs, so there is no rip and replace migration.
- Handles both software and the human legwork of record retrieval, which most claims automation vendors leave to the customer.
Cons
- No public pricing and no free trial. You need a sales cycle and a security review before you can test it on live files, which slows evaluation by weeks.
- Scanned or handwritten pages still come through imperfectly. Adjusters have to verify extracted values, and that review time is real work, not a formality.
- Product documentation online is thin, and the public API status is unclear. Teams that want to build custom integrations will need to ask directly.
Frequently asked questions
It automates the administrative side of claims handling: collecting statements by phone, extracting data from documents and medical records, chasing missing paperwork and flagging inconsistencies. Adjusters keep the decisions.
Related content
Explore related tools, skills, and articles for InQuery: AI Assistant for Insurance Claims Processing.
InQuery: AI Assistant for Insurance Claims Processing Alternatives
ngram 2.0
ngram · Video · Marketingngram 2.0 is an AI video generator for teams. It turns a prompt, a screen recording, or a product URL into a narrated explainer, product demo, or AI avatar video, and every scene stays editable.
shippedit.me
Krawlup · Marketing · Businessshippedit.me now redirects to Krawlup, a web platform that audits SEO, AEO and page speed every week, then hands the fixes to AI coding agents over MCP.
MePersona
MePersona, Inc. · Writing · Productivity · MarketingMePersona is an AI unified inbox for creators. It learns your voice, drafts replies to fan messages from 12 platforms, and sends only what you approve.