Hire Aisha.
Claims intake that moves itself forward.

Yes. Sign up for UnleashX and configure the pre-built role yourself. Prepare your intake checklist, approved knowledge, system access and exception owners. Test the configured journey before starting live intake; coverage and settlement decisions remain with authorized people.

No. Aisha autonomously captures incident details, links records, builds approved document checklists, follows up on missing items and saves intake packets for review. Your team sets the knowledge, permissions and rules before launch. Exceptions and coverage, liability or settlement decisions go to authorized people with the case context; routine intake does not need step-by-step approval.

An AI claims intake specialist autonomously executes the administrative start of a claim: gathering incident information, working through an approved document checklist, following up on missing items and routing the case to the right team. Aisha is UnleashX’s named pre-built role for that scope. The configured workflow, integrations and human boundaries must be agreed before deployment.

First notice of loss, often shortened to FNOL, is the initial notification to an insurer that a loss or incident has occurred. It starts the intake process; it is not a determination that the claim is covered or will be paid. The information required depends on the insurer, claim type and applicable process.

That is outside the scope described on this page. Aisha autonomously executes intake and document follow-up within configured rules. Coverage interpretation, liability assessment, fraud decisions, claim acceptance or rejection and settlement remain with the people authorized by your organization.

Start with a line and claim type for which you have a stable intake process and approved document checklist. Motor, property and other lines have different information needs; a motor intake template should not be treated as a universal template. Confirm scope and product support with the solution team.

Document receipt, extraction, readability checks and validation are different capabilities. Define which are required and confirm support during scoping. This page does not promise built-in OCR, authenticity detection or automatic document acceptance. An unresolved document should stay marked for review.

Provide the system name, version, APIs and required operations for review. Agree read and write permissions, authentication, field mappings, test access and failure recovery. The integration categories shown here are requirements to evaluate, not a list of certified native connectors.

Use an approved exception path. Capture the reason, record the outstanding requirement and assign a human reviewer who can decide the next step. The workforce should not invent an alternative evidence policy or block the case indefinitely without an owner.

Estimate the schedule after reviewing the claim scope, integration readiness, knowledge quality and approval requirements. A pre-built role reduces the need to start from a blank brief, but it does not remove system mapping, evaluation or security review. Agree milestones and owners before committing to a launch date.

Measure intake completeness, time to an agreed handoff state, unnecessary repeat requests, handoff quality and system-write correctness. Compare the same eligible claim cohort with your baseline, and record exclusions. These are proposed evaluation measures, not published Aisha performance results.

A page cannot establish compliance for a deployment. Your legal and compliance owners should review the workflow, customer communications, data handling and decision boundaries for the relevant jurisdiction. Confirm supported controls and request evidence during procurement; no certification is implied here.