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Business Solution

Insurance

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.

Professionals reviewing onboarding evidence and compliance-sensitive customer work.
Insurance starts with people trying to make the right call. A new customer needs to be onboarded quickly.

Solution / Insurance

A practical operating model for this environment

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.

Professionals reviewing onboarding evidence and compliance-sensitive customer work.
Where Insurance becomes real work people can trust. People reviewing onboarding, evidence and compliance-sensitive customer work with care and control.

Core capabilities

What Insurance enables

Each capability is designed to work as part of the broader execution platform rather than as a disconnected module.

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.

Policy servicing

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.

Customer communication

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.

Risk review

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.

Document evidence

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.

Escalation workflow

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.

The Advanze Control Model - AI Agents Execute Work Inside the Control Model

Agentic operating model

AI agents execute work inside the control 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

What becomes possible

Unified operating modelConnect the workflows, data and decisions that drive outcomes.
AI-enabled capacityScale work with governed agents rather than only headcount.
Modernised processReplace fragmented tools with composable services.
Clear transformation pathMove from pilot to measurable adoption through phased delivery.
Professionals reviewing onboarding evidence and compliance-sensitive customer work.
The outcome is not just automation. It is confidence in what happens next. When Insurance runs inside a governed execution model, teams can move faster without losing judgement, accountability or trust.

Agentic use case

Where Insurance becomes governed execution.

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 AgentGuides the customer journey, checks missing information and coordinates next steps.
KYC AgentRuns identity, address, company, tax, biometric, credit, AML, PEP and sanctions checks where applicable.
Document AgentExtracts, classifies and validates submitted documents.
Risk AgentCombines verification results with risk policies and flags escalations.
Compliance ReviewerApproves medium and high-risk cases or requests additional evidence.
Challenge

Onboarding often crosses identity verification, document collection, AML, sanctions, company registry checks, credit, legal terms, customer data quality, workflow approvals and audit evidence.

Orchestration

Coordinate onboarding, KYC checks, document review, risk scoring, approvals and customer communication through a governed agentic workflow.

Success

Coordinate onboarding, KYC checks, document review, risk scoring, approvals and customer communication through a governed agentic workflow.

Professionals reviewing onboarding evidence and compliance-sensitive customer work.
Onboarding review 13People reviewing onboarding, evidence and compliance-sensitive customer work with care and control.
Professionals reviewing onboarding evidence and compliance-sensitive customer work.
Onboarding review 14People reviewing onboarding, evidence and compliance-sensitive customer work with care and control.
Professionals reviewing onboarding evidence and compliance-sensitive customer work.
Onboarding review 15People reviewing onboarding, evidence and compliance-sensitive customer work with care and control.

Why AI execution needs architecture

The work needs context, controls and clear permissions before automation can safely act.

That is why the Advanze control model matters: identity, permissions, policies, workflow, audit evidence and human judgement are embedded into execution before agents act.

  • Onboarding often crosses identity verification, document collection, AML, sanctions, company registry checks, credit, legal terms, customer data quality, workflow approvals and audit evidence.
  • The right agent must receive the right context, tools, permissions and approval path before work moves forward.
  • Audit evidence, exception handling and human judgement need to be part of the workflow, not notes added after the fact.

Implementation path

How to move from concept to production

Advanze can be introduced progressively. Start with a visible workflow, prove the operating model, then expand into adjacent capabilities as the platform foundation matures.

  1. 1
    Assess the current operating model

    Map workflows, systems, data sources and manual coordination points around this capability.

  2. 2
    Design the target execution flow

    Define data, approvals, agent tasks, service calls and governance controls.

  3. 3
    Launch a focused implementation wave

    Start with a bounded use case that proves the operating pattern and creates reusable platform assets.

  4. 4
    Scale across the business

    Extend the pattern to adjacent workflows, more agents, more users and deeper integrations.

Next step

Build this into your execution platform roadmap

Explore how Insurance can be implemented as part of a broader Advanze platform adoption programme.