Use Case · Insurance

Claims intake on the Software Lifecycle Cloud

Claims intake on KERNSTACK structures the messy front door of insurance: claimants upload claim files and supporting documents into a bucket with presigned URLs, a table tracks what has arrived against what the claim type requires, a worker checks documents for legibility and completeness, and the claim moves through workflow steps — including the handler’s decision — with every state change recorded.

Object BucketsApproval WorkflowsNoSQL TablesContainer Workers
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The engineering bottleneck with assembled stacks

Claims handlers spend their first days on a claim collecting, not deciding: the form arrived without the invoice, the photo is in an email thread, the police report is coming “by fax”. The decision itself is skilled work; the chase is a checklist executed by expensive people over unstructured channels, and the claimant experiences it as silence.

Architecture on the Software Lifecycle Cloud

Intake is a state machine the claimant can see. The claim record lists required document types for its category; uploads land in the bucket under the claim’s prefix and flip checklist items as workers verify them. When the file is complete, a workflow step puts the claim in front of a handler with everything attached; requests for missing pieces go out as one precise message generated from the same checklist.

Completeness before judgement

Separating “is the file complete” from “what do we decide” is the entire design. Completeness is mechanical — document present, legible, in date — and machines plus checklist data handle it continuously, including at 2 a.m. when the claimant uploads. Judgement starts only when the handler opens a file that is actually decidable, which is why handler time per claim drops before any decision quality changes.

  • The claimant-visible checklist and the handler’s checklist are the same table — no status translation layer
  • Illegible uploads are rejected within minutes by the checking worker, while the claimant still remembers the document
  • Every decision step records handler, outcome, and the document set it was based on

Regulated work needs the boring trail

Insurance runs on evidence: what was submitted, when, what was asked for, what was decided. Because intake, documents, and decisions share one project, that trail is the system’s ordinary data rather than a reconstruction across email, a scanning service, and a claims platform that each kept a partial copy.

FAQ

Frequently asked questions

Through presigned upload URLs into the claim’s bucket prefix — no account-grade upload machinery inside your functions, and files never transit the API. Each arrival is checked for type and legibility and flips its checklist item in the claim record.

A requirements list per claim type, kept as project data: document kinds, validity windows, mandatory fields. The worker verifies arrivals against it; handlers edit the requirements as products change, under the same review as any project change.

Handlers decide claims. The workflow can route, remind, and record, and workers can flag inconsistencies, but the decision step is a titled human step with a named handler. That boundary is what makes the audit trail regulator-legible.

Connected in the Project Graph

Related capabilities, architectures, and comparisons

Category PillarThe Software Lifecycle CloudWhy people and agents build, deploy, and operate on a single vertically integrated stack.Service · DataBucketsObject storage with presigned uploadService · OrchestrationWorkflowsDurable workflows with human pausesService · DataTablesServerless key-value and document tablesService · ComputeWorkersContainer workers for long jobsIndustry SolutionHealthTech Cloud SolutionsHealthTech products on KERNSTACK hold care-adjacent data — patient documents, encounter records, consent forms — in one declared project in a European zone on named infrastructure. The needs that dominate are unglamorous and absolute: know exactly where every document lives, who touched it, how consent was captured, and how a record can be frozen the day a legal hold arrives.HealthTech BlueprintClaims intake for HealthTechClaims and document intake for HealthTech: completeness checked by workers, consent attached, staff decide complete files only.Use Case · ProductExperiment assignmentAssignment is a pure function of the subject key and the experiment’s salt — stable across requests, no coordination needed. The function records the assignment row once and serves the variant; outcome handlers were already writing events, which now simply carry the experiment id the assignment returned. Analysis reads assignments and outcomes from neighbouring tables with the same keys.

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