Privacy and AI governance for insurers

Data governance for insurance organisations

Connect policyholder data, claims, underwriting, profiling, vendors and AI governance in one auditable operational system.
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Build consistent governance across the insurance value chain

Connect policyholder data, claims, underwriting, vendors and automated decisions in one auditable system.
Map data across policies and claims
Connect applications, policies, claims, brokers, vendors, systems and transfers in one accountable view.
Govern automated decisions
Assess underwriting, pricing, fraud and claims tools with documented data, purpose, fairness, transparency and human oversight.
Standardise product-line governance
Reuse common controls while preserving the context, owners and requirements of each insurance product and market.
Produce evidence faster
Maintain current records, assessments, approvals, risks and remediation for supervisory reviews, audits and customer diligence.
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The governance challenge in insurance

Insurance organisations process identity, financial, health, behavioural, telematics and claims data across applicants, policyholders, brokers, adjusters, service providers and legacy platforms. The same information may support underwriting, pricing, claims handling, fraud prevention, customer service and regulatory reporting.

Automated scoring and decision tools increase the need for transparent ownership, appropriate assessment, reliable data and meaningful human oversight. Privacy, compliance, actuarial, risk, security, product and procurement teams need a shared record of how systems and data are used.

Key privacy, AI and data risks

  • Sensitive information moving across policyholders, brokers, adjusters and external providers.
  • Profiling, pricing, underwriting, fraud and claims automation that may materially affect individuals.
  • Complex data-sharing, retention and rights obligations across products and jurisdictions.
  • Legacy systems that make data mapping and request fulfilment difficult.
  • Inconsistent evidence across privacy, actuarial, compliance, risk and procurement teams.

Regulatory landscape

Relevant obligations may include the GDPR, CCPA/CPRA and other privacy laws, insurance-supervisory and consumer-protection rules, anti-discrimination requirements, record-keeping duties and the EU AI Act for applicable systems. Requirements vary according to the insurance product, market, data and role of the organisation.

Qualified legal, compliance, actuarial and risk specialists should confirm applicable obligations and approval thresholds.

How TrustWorks supports insurance teams

  • Map processing activities, systems, brokers, vendors and data transfers.
  • Register and assess underwriting, pricing, fraud and claims AI systems.
  • Run DPIA, vendor, transfer and AI-governance workflows with clear owners.
  • Coordinate rights requests across product and legacy-system teams.
  • Maintain documented controls, decisions, issues and remediation.

Operational outcomes

Shared governance improves transparency around automated decisions and reduces the time required to gather evidence for audits or supervisory reviews. Product teams can reuse common controls while maintaining the context of each line of business. Earlier visibility also helps identify high-risk vendors and processing before deployment.

TrustWorks supports governance workflows and evidence. It does not make underwriting, actuarial or legal decisions; authorised specialist teams remain responsible for final determinations.

Frequently Asked Questions

Yes. Teams can document processing, data, vendors, AI systems, owners, risks, controls and approval evidence for each use case.

Vendor and partner records, contracts, transfers, assessments, issues and review dates can be connected to the products and processes they support.

Yes. Shared templates and controls can be reused while maintaining product-specific purposes, systems, owners and obligations.

No. It supports governance workflows and evidence; authorised insurance, legal, actuarial and risk teams remain responsible for decisions.

TrustWorks can organise intake, verification, searches, tasks, deadlines and evidence across the teams and platforms involved.

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