Insurance

Unlock value in the Insurance sector, with AI.

AI is becoming a critical growth and productivity lever in insurance, reshaping pricing, claims and customer servicing—but real value only emerges when insurers move beyond siloed pilots to governed, scalable, enterprise adoption.

AI is the best policy to future proof the insurance sector. To unlock AI's full potential, insurers must modernise their data infrastructure and move beyond outdated systems. It's not just a tech upgrade — it's a strategic shift that enables smarter decisions, faster service and stronger client trust.

Steven Goh

Partner, Head of Insurance

KPMG in Singapore

Make AI work for you.

Move from AI pilots to scalable AI solutions
with the KPMG AI Centre of Excellence.

The Government Sector value propositions through
KPMG’s four-door Framework

Identify high‑impact AI use cases across services, policy, risk, and operations
Prioritise initiatives based on public value, feasibility, and risk
Scale AI from pilots to secure, enterprise‑wide adoption

Embed governance, security, and regulatory alignment into AI by design
Manage model risk, data quality, privacy, and third‑party exposure, especially for sensitive public data
Build confidence with boards and regulators through transparent, auditable AI decisions

Enable officers to use AI confidently in day to day roles, not as isolated specialists
Redesign work and operating models so humans and AI collaborate effectively
Build AI literacy and adoption across frontline, policy, risk, and corporate functions

Build AI ready data and technology foundations aligned to government architectures
Move beyond fragmented tools to scalable, secure enterprise platforms
Enable AI to scale safely across agencies, functions, and channels

The Insurance sector value propositions through KPMG’s Four-Door Framework

VALUE

AI Strategy & Value Realisation (insurance outcomes by design)

Identify the 2–4 highest‑value AI use cases across underwriting, claims, fraud and operations—tied to clear business KPIs
Prioritise initiatives based on value and feasibility (data readiness, operational fit) so efforts move quickly from ideas to executable roadmaps
Scale AI beyond siloed pilots by connecting use cases end‑to‑end across the insurance value chain

TRUST

Trusted & Responsible AI (confidence, compliance, resilience)

Put Responsible AI guardrails in place (policy, governance and controls) so AI decisions remain fair, transparent and compliant
Shift model risk focus to lifecycle oversight—reviewing how vendor and internal models are applied, monitored and controlled in real use cases
Modernise governance to keep pace with AI—so risk processes support (not stall) responsible scaling across the organisation

PEOPLE

Workforce transformation (human expertise remains indispensable)

Build an AI‑literate workforce beyond technical teams so adoption happens across functions, not only within specialist groups
Upskill and reskill the existing workforce to address skills gaps and ensure people can work effectively alongside AI
Use change management to overcome cultural resistance by showing how AI augments roles and redirects effort to higher‑value work

DATA & TECH

Built to scale (unified platforms replacing silos)

Move from fragmented tools to unified AI platforms connecting copilots, risk models and LLMs across the business—making AI scalable and governable
Adopt hybrid, cloud‑native architectures with APIs and monitoring to enable transparent oversight, auditability and secure scaling
Invest in unified data platforms so AI systems can access high‑quality data consistently—reducing duplication and fragmentation