| Primary purpose | Capture transactions, administer claims and route workflow. | Understand, decide and execute the work required to move a claim to resolution. |
| Operating model | People perform most claim work inside configured workflows. | AI Workers perform repeatable claim work; people govern exceptions and high-impact decisions. |
| Claim record | Claim data is primarily a transaction record inside the administration application. | A native operational claim object preserves facts, evidence, decisions, actions, reviews and outcomes. |
| Decisioning | Rules, approvals and reviewer judgment drive claim outcomes. | Warranty Decision Intelligence combines guidance, evidence, predictive models, rules and AI reasoning with confidence controls. |
| Unstructured evidence | Notes, 3Cs, PDFs, images and video often require significant human interpretation. | Multimodal AI interprets text, 3Cs, documents, images and video in the context of the claim. |
| Work queues | Queues organize claims waiting for people to process. | Exception queues surface only the claims and decisions that need human expertise. |
| Automation | Workflow and rules automate predefined steps. | Agents can gather, validate, decide, communicate, follow up and execute within authorized boundaries. |
| Analytics | Reporting explains what happened after transactions are processed. | Claims Intelligence explains drivers, detects anomalies, predicts exposure and recommends next actions. |
| System dependency | The admin platform is usually the center of claim operations. | Circuitry.ai can run the claim end to end; legacy synchronization is optional where another system still adds value. |
| Human role | Process the claim. | Orchestrate, review, govern and improve claims operations. |