From Chatbots to Hyperautomation: AI Services That Future-Proof Insurance, Banking, Industry, and Defense
How beON Brings AI Innovations to Highly Regulated Industries
In large enterprises with vast data volumes and strict regulatory frameworks – such as banks, insurance companies, or defense organizations – the use of cloud-based AI applications adds extra complexity. Along with country-specific data protection laws (e.g., GDPR) and industry-specific requirements (e.g., BaFin, EBA), dealing with highly sensitive data is crucial. Despite offering advantages like scalability and innovation, cloud usage may pose risks to auditability and data sovereignty, especially when data is processed outside German or European data centers.
Whether financial service providers, insurers, industrial corporations, defense organizations, or breweries – each sector has its own challenges regarding data, processes, and compliance. With many years of experience across various highly regulated and specialized markets, beON develops AI solutions precisely tailored to the needs of your industry.
Link to AI-Services: https://www.beon.net/services/ai-bigdata-analytics-automation/
1. AI Solutions for Complex Compliance Requirements
In large enterprises with vast data volumes and strict regulatory frameworks – such as banks, insurance companies, or defense organizations – the use of cloud-based AI applications adds extra complexity. Along with country-specific data protection laws (e.g., GDPR) and industry-specific requirements (e.g., BaFin, EBA), dealing with highly sensitive data is crucial. Despite offering advantages like scalability and innovation, cloud usage may pose risks to auditability and data sovereignty, especially when data is processed outside German or European data centers.
Key AI Challenges in Compliance:
- Ensuring full data traceability in hybrid cloud environments
- Implementing real-time encryption & role-based access management
- Enabling AI-powered anomaly detection for compliance monitoring
2. Industry-Specific AI Solutions
Whether financial service providers, insurers, industrial corporations, defense organizations, or breweries – each sector has its own challenges regarding data, processes, and compliance. With many years of experience across various highly regulated and specialized markets, beON develops AI solutions precisely tailored to the needs of your industry.
Examples of AI-Driven Solutions:
- Fraud Detection: AI-driven AML (Anti-Money Laundering) models reduce false positives
- Risk Management: AI-powered claims analysis enhances decision accuracy in insurance
- Manufacturing & Quality Control: AI ensures precision monitoring & predictive maintenance
- Brewery Process Optimization: Smart automation streamlines supply chain and production
3. Machine Learning & AI Business Services – Including Data Governance
Data is the foundation of modern business models and enables data-driven decision-making that directly impacts competitiveness. beON designs and implements custom ML models for highly sensitive use cases such as fraud detection (e.g., anti-money laundering analysis) in the banking sector or claims analysis in the insurance industry.
To ensure robust data governance, we establish:
- Clear data ownership & accountability
- Automated data validation & categorization
- Continuous monitoring with AI-driven anomaly detection
Comprehensive MLOps concepts ensure that models can be continuously trained, monitored, and improved. If needed, both SAP and non-SAP AI solutions can be seamlessly integrated into SAP S/4HANA or the SAP Business Technology Platform (BTP).
4. AI-Based Chatbots & Virtual Assistants
Today’s customer service is under constant pressure to act quickly, precisely, and transparently. Our AI chatbots and virtual assistants take repetitive tasks off the hands of support teams, reduce processing times, and significantly enhance customer satisfaction.
AI-Driven Customer Interactions:
- Automated loan pre-approvals in banking
- AI-powered claims handling for insurers
- IT helpdesk automation for real-time issue resolution
To meet both legal requirements and the demands of internal auditors, we rely on Explainable AI (XAI) methods. This ensures that AI-driven responses are fully auditable, making it easier for regulators and business leaders to understand and trust the decision-making process.
5. AI in IT Service Management
Especially in IT service departments, where security-critical requests and complex system processes coincide, artificial intelligence holds enormous potential to reduce downtime and mitigate risks. Whether it’s chatbots in first-level support or automated error analysis in second-/third-level support – AI-powered solutions shorten response times, increase transparency, and create a more resilient IT service.
We employ LLMOps-based methods to train, monitor, and operate ChatGPT-like models as needed – naturally while adhering to compliance and data protection guidelines.
AI for IT Security & Service Optimization:
- Proactive security threat detection via AI-powered monitoring
- Intelligent incident response automation to reduce downtime
- Adaptive ITSM workflows integrated into ServiceNow and SAP AI Core
Additionally, we work with non-SAP solutions such as the ServiceNow Intelligent Automation Engine, which integrates AI features directly into common ITSM processes and can be flexibly adapted to hybrid IT environments.
6. Generative AI
Generative AI – for instance, through ChatGPT-like large language models – has the potential to fundamentally transform business processes. Possible use cases range from automated code generation and dynamic document and contract analysis to intelligent knowledge databases.
AI-Powered Document Processing:
- AI-driven contract review for regulatory compliance
- Automated risk assessment with LLM-based fraud detection
- Intelligent knowledge management for internal corporate search
Thanks to SAP AI Business Services or other integrated platforms, AI models can be seamlessly embedded into existing system landscapes and process chains without compromising security or traceability. On request, we can also leverage non-SAP offerings such as the Azure OpenAI Service or Hugging Face solutions to address individual requirements more flexibly. This approach gives our clients full control over data sovereignty, enabling them to adjust the level of automation according to their compliance specifications.
7. Hyperautomation: RPA & Machine Learning in Combination
With hyperautomation, beON takes things a step further by integrating RPA, machine learning, and other AI technologies into a comprehensive approach. This not only automates individual processes but entire value chains – from customer inquiries and risk management to final billing in the ERP system.
Especially in the SAP context, there are numerous synergies: We combine SAP Intelligent RPA, SAP AI Core, and cloud integration scenarios within the SAP Business Technology Platform (BTP) to achieve an end-to-end, future-proof process integration.
AI & Hyperautomation Use Cases:
- End-to-end automation of compliance & risk workflows
- Self-learning AI models for dynamic process optimization
- Cross-platform orchestration for SAP & non-SAP environments
At the same time, we incorporate proven non-SAP solutions like UiPath or Automation Anywhere when needed, so companies operating in diverse system environments can benefit from holistic end-to-end solutions.
We place special emphasis on IT security. Our hyperautomation concepts include:
- Identity & access management for AI-driven workflows
- Encrypted data transmission & audit logging
- Role-based governance models to prevent unauthorized access
By embedding these security principles, we ensure compliance and risk mitigation – even in highly regulated environments.
beON – Holistic AI Strategy Consulting
At beON, we don’t view AI consulting solely as technology integration. We also help you develop an AI roadmap that aligns with both your business objectives and compliance requirements.
Our experienced consultants use proven project methods – such as agile approaches, proof-of-concept phases, and phased rollouts – to ensure that implementations are efficiently managed and transparently evaluated.
Strategic AI Planning at beON:
- End-to-end AI adoption roadmap
- Risk & bias management in AI models
- Regulatory alignment & governance
We place great importance on Responsible AI and explain throughout the project how we detect potential bias, continuously validate models, and ensure fairness. This way, you receive AI applications that not only perform reliably but also earn the trust of both internal and external stakeholders.
Why beON?
- 15+ years of experience in banking, insurance, industry & defense
- Focus on security & compliance (ISO/IEC 27001, GDPR)
- Vendor-independent AI expertise – SAP & non-SAP solutions
- Flexible delivery models – onshore, nearshore & offshore consulting
- End-to-end AI strategy & implementation