Intelligent Automation Insurance
Automate insurance processes with RPA and AI: accelerate claims processing, optimise underwriting and make policy management more efficient.
- ✓Claims processing automation for accelerated claims handling and improved customer experience
- ✓AI-supported underwriting with automated risk analysis and pricing optimization
- ✓Regulatory compliance automation for BaFin, Solvency II, and GDPR-compliant processes
- ✓Fraud detection and prevention through advanced analytics and machine learning
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
30 Minutes • Non-binding • Immediately available
For optimal preparation of your strategy session:
- Your strategic goals and objectives
- Desired business outcomes and ROI
- Steps already taken
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Insurance Process Automation – From Claims Processing to Underwriting
Why Insurance Automation with ADVISORI
- Insurance expertise: we know claims, underwriting and policy management from hands-on practice
- Regulatory-compliant solutions with integrated compliance controls and audit trails
- Proven integration with established insurance core systems and legacy landscapes
- Measurable results: 30–50% cost reduction and up to 70% faster processing
Process Automation as a Competitive Advantage for Insurers
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.
ADVISORI in Numbers
11+
Years of Experience
120+
Employees
520+
Projects
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.
Our Approach:
Analysis of insurance processes and identification of automation potential
Assessment of regulatory requirements (BaFin, Solvency II, GDPR) for each automation
Phased implementation with integration into existing core systems
Training and change management for sustainable adoption in business units
Ongoing monitoring, optimisation and compliance assurance after go-live
"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."

Asan Stefanski
Head of Digital Transformation
Expertise & Experience:
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Our Services
We offer you tailored solutions for your digital transformation
Claims Processing Automation
Comprehensive automation of claims handling for accelerated claims processes and improved customer experience.
- Automated claims intake with AI-supported document analysis and loss notification processing
- Damage assessment automation for automated damage estimation and expert report generation
- Claims workflow orchestration for optimized processing workflows and status tracking
- Settlement processing automation for accelerated payments and settlement
Underwriting Intelligence & Risk Assessment
AI-supported automation of underwriting processes with intelligent risk analysis and pricing optimization.
- Automated risk assessment with machine learning risk models and scoring algorithms
- Dynamic pricing automation for optimized premium calculation and competitiveness
- Policy generation automation for automated policy creation and documentation
- Underwriting decision support with AI-based recommendations and approval workflows
Policy Management & Administration Automation
Intelligent automation of policy administration for efficient management and lifecycle administration.
- Policy lifecycle automation for automated administration from creation to cancellation
- Renewal processing automation with intelligent renewal orchestration and customer outreach
- Policy modification automation for automated changes and adjustments
- Billing integration automation for smooth premium billing and payment processing
Customer Service & Experience Automation
Personalized, automated customer support for improved customer experience and self-service capabilities.
- Intelligent chatbots with insurance-specific knowledge management and natural language processing
- Customer portal automation for self-service functionalities and account management
- Personalized communication automation for targeted customer communication and marketing
- Customer journey optimization with automated touchpoint orchestration and experience tracking
Fraud Detection & Prevention Systems
Advanced analytics and machine learning for proactive fraud detection and risk mitigation.
- Real-time fraud detection with machine learning algorithms and anomaly detection
- Pattern recognition systems for identification of suspicious claims and transactions
- Risk scoring automation for automated assessment and prioritization of suspected fraud cases
- Investigation workflow automation for efficient processing and documentation of fraud cases
Regulatory Compliance & Reporting Automation
Automated compliance monitoring and regulatory reporting for BaFin, Solvency II, and GDPR requirements.
- BaFin compliance automation for automated supervisory law notifications and documentation
- Solvency II reporting automation for automated solvency and risk reporting
- GDPR data protection automation for automated data protection compliance and privacy management
- Audit trail management with automated documentation and compliance monitoring
Our Competencies in Intelligent Automation
Choose the area that fits your requirements
Hospitals and healthcare providers face rising costs and staff shortages. We use RPA and AI to automate patient management, billing and clinical documentation — GDPR-compliant and seamlessly integrated into existing IT systems.
ADVISORI supports you as a strategic automation partner from process analysis through implementation with UiPath, Automation Anywhere or Power Automate to ongoing operations.
What sets Intelligent Automation apart from traditional RPA? While Robotic Process Automation handles rule-based, repetitive tasks with structured data, Intelligent Automation combines RPA with Artificial Intelligence, Machine Learning, and Process Mining to create adaptive, self-learning systems. This comparison reveals the concrete differences in technology, use cases, and strategic value — so you can make the right automation decision for your enterprise.
Automate the processing of documents, emails and unstructured content with AI. OCR, NLP and machine learning extract data, classify content and accelerate your business processes.
AI-driven test automation generates test cases automatically, performs visual validations, and self-heals when UI changes occur. Faster releases with higher quality — up to 60% less testing effort.
Intelligent Workflow Automation orchestrates complex cross-departmental business processes with AI-powered routing, adaptive decisions and automatic escalation — delivering measurably faster cycle times and higher process quality.
Process Mining uses event logs from your IT systems to reconstruct, analyze, and optimize actual process flows. Discover hidden inefficiencies, ensure compliance, and make data-driven decisions for sustainable process improvements.
Successful RPA implementation requires more than just technology - it demands a structured methodology, experienced consultants, and sustainable governance. ADVISORI guides you through every phase from process selection to go-live, building lasting automation capabilities that deliver measurable business value.
Automate your SAP business processes intelligently with SAP Intelligent RPA and SAP Build Process Automation. ADVISORI combines deep SAP expertise with cutting-edge bot technology for native, EU AI Act compliant automation solutions across your SAP landscape.
Intelligent Automation (IA) combines Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning, and Process Mining into adaptive, self-learning automation systems. Unlike rule-based automation, IA recognizes patterns, makes autonomous decisions, and continuously optimizes itself — a paradigm shift from rigid process execution to intelligent business transformation.
Frequently Asked Questions about Intelligent Automation Insurance
Which insurance processes can be automated with RPA and AI?
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.
What ROI can insurers expect from process automation?
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.
Is insurance process automation regulatory compliant?
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.
How does RPA integrate with existing insurance core systems?
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.
What is the difference between RPA and intelligent automation in insurance?
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.
How long does it take to implement process automation?
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.
How does ADVISORI support insurance automation?
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.
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Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
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