Claims triage
Use claims triage as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Business Solution
Governed execution for policy, claims and service operations.
Insurance teams need to move faster across policy servicing, claims intake, customer communication, compliance checks and operational handoffs without losing evidence or control.
Solution / Insurance
Advanze solutions describe how products, workflows, data, integrations and agents work together to solve an operating problem. For Insurance, the focus is practical transformation: reducing fragmentation, creating reliable execution paths and giving people better control over work that crosses teams and systems.
The value is strongest when the capability is connected to adjacent processes. Records, workflows, controls, communications and analytics should participate in a shared execution fabric rather than live in separate tools.
Core capabilities
Each capability is designed to work as part of the broader execution platform rather than as a disconnected module.
Use claims triage as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Use policy servicing as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Use customer communication as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Use risk review as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Use document evidence as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Use escalation workflow as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.
Agentic operating model
Advanze treats AI agents as participants in the operating model. Agents can read context, call services, update records, trigger workflows, prepare decisions and escalate exceptions. Human teams remain responsible for judgement, governance and business accountability.
The goal is to create an execution platform where work can move across functions with consistent permissions, policies, audit trails and data visibility.
Business outcomes
Agentic use case
A new customer needs to be onboarded quickly.
What makes it harder in the real world: Onboarding often crosses identity verification, document collection, AML, sanctions, company registry checks, credit, legal terms, customer data quality, workflow approvals and audit evidence.
What Advanze changes: Coordinate onboarding, KYC checks, document review, risk scoring, approvals and customer communication through a governed agentic workflow.
Onboarding often crosses identity verification, document collection, AML, sanctions, company registry checks, credit, legal terms, customer data quality, workflow approvals and audit evidence.
Coordinate onboarding, KYC checks, document review, risk scoring, approvals and customer communication through a governed agentic workflow.
Coordinate onboarding, KYC checks, document review, risk scoring, approvals and customer communication through a governed agentic workflow.



Why AI execution needs architecture
That is why the Advanze control model matters: identity, permissions, policies, workflow, audit evidence and human judgement are embedded into execution before agents act.
Implementation path
Advanze can be introduced progressively. Start with a visible workflow, prove the operating model, then expand into adjacent capabilities as the platform foundation matures.
Map workflows, systems, data sources and manual coordination points around this capability.
Define data, approvals, agent tasks, service calls and governance controls.
Start with a bounded use case that proves the operating pattern and creates reusable platform assets.
Extend the pattern to adjacent workflows, more agents, more users and deeper integrations.
Next step
Explore how Insurance can be implemented as part of a broader Advanze platform adoption programme.