Reduce claims intake delays before a handler touches the file.
Sigmoid Analytica builds AI-assisted workflows that classify incoming claims, retrieve policy and document context, flag missing information, and route exceptions for human review.
Operating environment
The real challenge in insurance workflows
Insurance workflows are time-sensitive, policy-driven, and heavily document-dependent. A claims handler or underwriting team member typically needs to locate the right policy, validate supporting documents, check eligibility and coverage, identify what information is missing, and decide on the correct routing, often under volume pressure and time constraints.
These steps follow clear rules. Executing them manually across every intake creates friction, inconsistency, and delay. The business cost shows up as slower first review, more back-and-forth for missing documents, uneven triage, and more handler time spent assembling the file instead of resolving it.
Document volume
Claims involve policy documents, photographs, medical records, invoices, prior correspondence, and third-party reports. Locating and cross-referencing these manually takes time at every stage, and errors in that assembly have downstream consequences.
Compliance pressure
Every routing decision, coverage determination, and communication carries compliance obligations. The system must support the controls that regulatory and internal governance requires, not create a path around them.
Triage consistency
Similar cases can receive different handling depending on who processes them, what context was readily available, and how much time was available. Structured intake and consistent routing reduces that variance without removing human review.
Where claims teams lose manual hours
Each workflow step below can improve turnaround time, file completeness, routing consistency, or reporting visibility without removing required human judgment.
Claims intake and classification
Receive incoming claims, extract structured information from supporting documents, and classify the claim type and relevant policy area. Structured intake before the case reaches a handler.
Works across inbound email, portal submissions, and document attachments
Policy and document retrieval
Retrieve the relevant policy, coverage terms, and prior claim history for each intake. Surface the context that the reviewer or handler needs, rather than requiring them to locate it manually.
Retrieves from connected policy systems and document repositories
Missing information identification
Check the intake against the required document set and flag what is absent, incomplete, or inconsistent before the case moves forward. Reduces back-and-forth and avoids delays downstream.
Configurable to your specific document requirements by claim type
Coverage and eligibility checks
Run the claim against defined coverage rules and conditions. Flag cases that need manual review based on policy terms. Keep the eligibility check consistent across every intake.
Flags exceptions for human review rather than making coverage decisions
Triage and routing
Route cases to the appropriate team or individual based on claim type, complexity, and defined escalation rules. Surface priority items and cases requiring immediate attention.
Routing rules are defined and adjustable by your operations team
Response and communication drafting
Draft acknowledgement messages, information-request communications, and status updates based on the claim file and your policy language. Reviewable before sending.
Grounded in your policy documents and approved communication templates
Structured work in a compliance-sensitive environment
Insurance workflows are a good fit for this kind of automation because the highest-friction work often happens before the decision: finding the policy language, checking the document set, identifying missing information, and deciding where the file should go next.
Retrieving the right context and structuring the intake does not require replacing human judgment, it supports it. The system handles the retrieval, classification, and routing steps. The reviewer works from a structured, complete file rather than assembling one manually.
Coverage decisions, disputes, policy exceptions, and final communications stay reviewable. The system prepares the file; your team keeps control of the judgment calls.
The system retrieves context, not just information.
It surfaces what a reviewer actually needs for the decision at hand, not everything it found. The retrieval is structured around the claim type, the policy area, and the defined review requirements.
Routing and triage follow your rules, not a black box.
Every routing decision is based on defined criteria: claim type, document completeness, coverage flag status, escalation rules. Each path is traceable and adjustable by your operations team.
Human review is preserved where compliance requires it.
The system routes to people, not around them. Coverage determinations, policy exceptions, and dispute handling involve human review at the points where your compliance framework requires it.
What to validate first
Prove value on one intake path before expanding automation.
A useful first workflow is usually one where handlers repeat the same document checks, request the same missing information, or route the same case types under volume pressure.
Typical inputs
Claim forms, policy documents, photos, invoices, medical records, prior correspondence, and third-party reports.
Human control points
Coverage determinations, disputes, policy exceptions, fraud indicators, and outbound communications that require approval.
Operational outcomes
Faster first review, fewer incomplete files reaching handlers, more consistent triage, and clearer exception queues.
Bring us one claims workflow with repeated manual handling.
We will map what can be structured, what must stay in review, and what evidence the handler should see before deciding.