AI embedded in underwriting and claims workflows
Insurance
Control AI across underwriting, claims and customer operations.
Control AI across underwriting, claims, fraud, servicing, distribution and internal operations while preserving accountable evidence and measurable value.
Industry pressure
The control problem is specific to the operating environment.
Cybatar gives insurers one operating layer for material AI decisions, evidence, risk and economics across the policy lifecycle.
Supplier and model dependency
Fairness, explainability and human oversight
Value claims disconnected from loss, service and cost outcomes
Priority operating capabilities
What Cybatar should make visible and govern.
The platform is configured around the institution's own materiality, authority, evidence and economic model rather than a generic checklist.
01AI Passport for material systems
02Human review and decision evidence
03Model and supplier assurance
04Regulatory obligations and controls
05Outcome and value measurement
06Incident and exception management
One institutional operating model
Record. Control. Evidence. Economics.
Cybatar connects the AI estate to accountable decisions, evidence and value so insurance does not govern AI through disconnected committees and spreadsheets.
Record
Inventory, ownership, AI Passports and lifecycle.
Control
Intake, authorisation, policy and obligations.
Evidence
Provenance, decisions, assurance and audit records.
Economics
Spend, unit economics, outcomes and validated value.
Insurance
Request an AI Estate AssessmentMap your AI estate before the next material decision.
Bring your current systems, governance model, supplier exposure and executive questions. Cybatar will structure the operating problem.