CLAIMS AUTOMATION

Claims Automation

Accelerate claims operations by combining document intelligence, workflow orchestration and human review.

Designed for real operational work.

Apply AI where work is repetitive, information-heavy or difficult to scale—while keeping business rules, approvals and accountability explicit.

01
✦

Claims document intake

Capture forms, estimates, correspondence and supporting documents into a structured case.

02
✦

Extraction and classification

Identify claim type, key fields, entities and missing information.

03
✦

Coverage and policy context

Retrieve relevant policy, procedure and case context for reviewers and downstream steps.

04
✦

Triage and exception routing

Prioritize cases and route exceptions to the appropriate team for review.

05
✦

Human approval

Keep consequential decisions with authorized reviewers and capture the decision trail.

06
✦

Case-system integration

Update claims systems and reporting layers using controlled, auditable actions.

From intake to governed outcome.

A typical implementation connects AI capabilities to existing workflows, enterprise knowledge and systems.

01
✦

Intake & context

Capture the request, document or case and establish the relevant context.

02
✦

AI processing

Classify, extract, summarize, reason or draft according to the use case.

03
✦

Rules & validation

Apply deterministic rules, validation checks and confidence thresholds.

04
✦

Human review

Route ambiguous or consequential decisions to authorized people.

05
✦

System action

Update the appropriate enterprise system through controlled integrations.

06
✦

Measure & improve

Monitor quality, turnaround, exceptions and adoption to improve the workflow.

A governed AI workflow layer.

Illustrative architecture: final design depends on data classification, identity, integrations, model choice, risk and deployment constraints.

01
✦

Users & business teams

Operational users, specialists and accountable decision makers.

02
✦

AI capability layer

Document AI, knowledge retrieval, copilots, agents or analytics as appropriate.

03
✦

Workflow orchestration

Coordinates steps, state, rules, approvals and exceptions.

04
✦

Knowledge & data

Approved enterprise content, structured data and contextual retrieval.

05
✦

Integrations

CRM, ERP, ITSM, claims, finance, HR and other systems.

06
✦

Security & observability

Access controls, audit trails, evaluation, monitoring and governance.

Find a workflow worth improving.

Bring us a repetitive process, operational bottleneck or high-volume information workflow. We will help define a practical AI opportunity.

Start an AI Opportunity Assessment →
AI AssessmentConsultation