Make first notice of loss ready for review
First notice of loss (FNOL) is the initial report of a potential claim. Define the information your team needs at intake, then use an AI-assisted workflow to draft a summary and flag missing fields. A claims handler checks the source information and confirms the next step.
- Assign an intake owner and a clear next action.
- Keep an incomplete intake separate from a claim decision.
Organize claim documents with their sources
A review packet may include an incident report, photographs, a survey report, and repair estimates. Agree on a case-specific checklist, retain source references, and distinguish supplied facts from an AI-generated summary. Reviewers resolve unclear or conflicting information.
- Identify document versions and items still awaiting confirmation.
- Record discrepancies as review tasks with a responsible owner.
Give adjusters, surveyors, and garages a clear handoff
Prepare a handoff around the task, relevant records, and expected response. Share only the information needed by the receiving party. AI can help draft the brief; the claims team confirms recipients, permissions, and the scope of the request before sending it.
- Name the person responsible for following up.
- Track internal target dates and route exceptions for review.
Keep claim decisions with authorized reviewers
Separate preparation from approval. A proposed workflow can assemble the review context and identify unanswered questions, while an authorized reviewer evaluates the evidence and records a decision with reasons. A missing document or AI flag should trigger review, not an automatic denial.
- Define authority levels and escalation paths before implementation.
- Keep outstanding questions visible through each approval step.
Pilot one claims process and measure the handoffs
Choose a bounded workflow, such as preparing motor claims for adjuster review. Confirm available functionality, proposed system connections, access permissions, and exception handling during scoping. Establish a baseline for missing information, repeated requests, and time awaiting the next owner before evaluating change.
- Use synthetic or appropriately redacted examples for the initial discussion.
- Agree on review criteria and how staff can correct AI-generated work.
Common questions
What insurance claims workflows can we explore?
Start with operational work such as FNOL completeness checks, document organization, follow-up preparation, and adjuster handoffs. The proposed workflow and available functionality are confirmed during scoping.
Can AI decide coverage or settle a claim?
These examples keep coverage, liability, settlement, and claim outcomes with authorized people. AI assists with preparation and summaries; reviewers check evidence and make decisions.
Does BlissOS replace our claims system?
BlissOS is designed to coordinate operational work alongside existing systems. The system of record, data flows, and any required connections are defined together before implementation.
How should incomplete or conflicting documents be handled?
Record the unresolved issue, link its source, and assign an owner to clarify it. The reviewer decides the appropriate next action using the organization's agreed process.
What should we bring to an insurance workflow discussion?
Bring a process outline, team responsibilities, intake checklists, and synthetic or redacted examples. Include approval points and common exceptions so the discussion reflects how your claims team works.