RPA and AI for Insurers
Automate insurance processes with RPA and AI: accelerate claims processing, optimise underwriting and make policy management more efficient.
Insurers face mounting pressure: rising customer expectations, regulatory requirements and legacy systems limit efficiency. With process automation powered by RPA and AI, we transform manual insurance workflows into end-to-end automated processes – from first notice of loss through underwriting to policy administration. Regulatory-compliant, integrable with existing core systems, and measurably effective.
Our insurance automation service encompasses the complete transformation of insurance process landscapes into intelligent, AI-supported InsurTech systems. We develop tailored insurance automation strategies that perfectly match your business processes, IT infrastructures, and regulatory requirements.
6 service modules
Bookable individually or as an end-to-end programme.
Comprehensive automation of claims handling for accelerated claims processes and improved customer experience.
AI-supported automation of underwriting processes with intelligent risk analysis and pricing optimization.
Intelligent automation of policy administration for efficient management and lifecycle administration.
Personalized, automated customer support for improved customer experience and self-service capabilities.
Advanced analytics and machine learning for proactive fraud detection and risk mitigation.
Automated compliance monitoring and regulatory reporting for BaFin, Solvency II, and GDPR requirements.
5 phases
We combine deep understanding of insurance processes with technical automation expertise. Every solution is individually tailored to your process landscape, regulatory requirements and IT infrastructure.
Your contact
Asan Stefanski
Head of Digital Transformation
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Insurance automation is not merely a technological evolution but a fundamental transformation of the insurance industry. Our AI-supported automation solutions enable insurance companies to combine the highest service quality with operational excellence, while simultaneously ensuring compliance standards and risk management at a new level.
Insurers that automate claims processing, underwriting and policy management reduce costs by 30–50% and accelerate processing times by up to 70%. ADVISORI supports the journey from analysis to go-live.
7 QUESTIONS, BRIEFLY ANSWERED
The most common use cases are claims processing, underwriting and risk analysis, policy creation and management, customer communication, fraud detection and regulatory reporting. RPA handles rule-based, repetitive tasks such as data capture and document processing, while AI components support more complex decisions like risk assessment and anomaly detection.
Insurers typically achieve 30–50% cost reduction in automated processes. Processing times drop by up to 70%. Most projects pay back within 6–12 months. Customer satisfaction, error rates and employee workload also improve measurably.
Yes, with proper design. Automation solutions must account for regulatory requirements, GDPR, IDD and Solvency II. This means transparent decision processes, complete audit trails, privacy by design and regular model validation. ADVISORI implements compliance controls directly into automated workflows.
RPA bots work on the user interface of existing systems and require no deep interface changes. For further integration, we use API-based connections to policy administration systems, claims management and billing. The approach: gradual modernisation without system disruption.
RPA automates rule-based, repetitive tasks such as data transfer and form processing. Intelligent automation extends this with AI capabilities: natural language processing for claims notifications, machine learning for risk models and computer vision for document analysis. The combination enables end-to-end automation of even complex insurance processes.
A typical RPA pilot project in insurance takes 4–8 weeks from process analysis to go-live of the first bot. Roll-out to additional processes follows in phases over 3–6 months. Key success factors are clean process documentation, clear prioritisation and early involvement of business teams.
ADVISORI guides insurers from process analysis through technology selection and agile implementation to legacy system integration and ongoing compliance assurance. Our consultants combine insurance domain knowledge with automation expertise – for solutions that are both regulatory-safe and operationally effective.
Our clients trust our expertise in digital transformation, compliance, and risk management
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