The Power of Agentic AI

Traditional chatbots provide scripted responses or simple keyword matching. Agentic AI represents a fundamental shift: these systems understand context, plan multi-step workflows, and intelligently choose the right tools to solve complex problems. Whether an employee needs policy information, technical documentation, or cross-departmental guidance, agentic AI orchestrates the entire process—from understanding intent to retrieving relevant information to providing actionable insights with full source attribution.

Built on Amazon Bedrock’s foundation models and enhanced with Knowledge Bases for retrieval-augmented generation (RAG), our solutions leverage the latest advances in artificial intelligence while maintaining enterprise-grade security and compliance standards.

Flexible Frontend Integration

Microsoft Teams Integration

For organizations already invested in the Microsoft ecosystem, our Teams-based AI assistants integrate seamlessly into existing workflows. Employees can access intelligent support directly within their daily collaboration environment, whether for onboarding guidance, policy questions, or technical support. The assistant understands natural language queries and provides contextual responses with citations, making it easy for teams to find accurate information without disrupting their workflow.

Web-Based Portals

Custom web interfaces provide branded, responsive AI assistance accessible from any device. These portals can be tailored to specific use cases—from customer service knowledge bases to internal operations centers—with role-based access controls and department-specific content filtering.

API-First Architecture

For organizations requiring deeper integration, our RESTful APIs enable embedding AI capabilities directly into existing applications, intranet systems, or custom software solutions. This approach allows for seamless user experiences while maintaining full control over authentication, authorization, and data flow.

Comprehensive Knowledge Integration

Our platform excels at connecting disparate information sources into a unified, intelligent knowledge ecosystem. Out-of-the-box connectors support major enterprise systems including SharePoint, Confluence, Salesforce, and ServiceNow. For unique requirements, custom ingestion pipelines can integrate proprietary systems, databases, or specialized applications.

The system automatically handles document parsing, intelligent chunking, and embedding generation—transforming static information repositories into dynamic, searchable knowledge that adapts to how your organization actually works. Content synchronization ensures AI responses reflect the latest updates across all connected sources.

Extensible Architecture for Growing Needs

What sets agentic AI apart is its ability to grow with your organization. Initial deployments might focus on employee onboarding or customer service, but the same foundation supports increasingly sophisticated use cases:

Process Automation: Integration with ITSM tools enables the AI to not just provide information about procedures, but actually initiate workflows, track status, and provide proactive updates.

Multi-System Orchestration: As confidence builds, the platform can coordinate actions across multiple systems—pulling data from CRM, updating ERP records, or triggering approval workflows based on natural language requests.

Compliance and Audit Support: Every interaction can be logged with full traceability if required, supporting regulatory requirements while providing insights into information access patterns and user behavior.

Security and Compliance by Design

Enterprise AI deployments require robust security frameworks. Our solutions implement AWS best practices including IAM role-based access, encryption at rest and in transit, and comprehensive audit logging. Customer-managed KMS keys provide additional control over sensitive data, while VPC endpoints ensure network traffic remains within your AWS environment.

Data privacy is paramount—customer inputs and outputs are not used for model training, and processing remains within specified geographic boundaries. The platform supports both individual user authentication and enterprise SSO integration, ensuring appropriate access controls across all touchpoints.

Cost Transparency and Predictability

AWS’s consumption-based pricing model provides unprecedented visibility into AI solution costs through comprehensive billing insights and analytics. Unlike traditional enterprise software licensing, every component—from model inference tokens to knowledge base queries, storage operations to compute resources—is individually tracked and reported.

Real-time usage monitoring provides early visibility into scaling patterns, enabling proactive budget management as AI adoption expands. This granular cost visibility supports data-driven decisions about model selection, feature expansion, and resource optimization. The transparent, pay-as-you-consume approach means initial investments remain modest while providing clear forecasting capabilities as AI capabilities mature and expand throughout the organization.

Digital Sovereignty Considerations

For German organizations, particularly those in regulated sectors, data sovereignty remains a critical consideration. Our current implementations operate within the standard AWS commercial cloud, with services deployed in eu-central-1 (Frankfurt) and, where specific AI models require it, additional EU or US regions to ensure optimal capability and performance.

AWS has announced plans for a European Sovereign Cloud, with the first datacenter in Brandenburg designed to meet the most stringent EU regulatory requirements. This dedicated environment will operate entirely within EU borders with governance structures aligned to European law, addressing concerns about cross-border data processing and third-country jurisdiction.

As the European Sovereign Cloud achieves general availability and feature parity with the commercial AWS platform, we anticipate migrating appropriate workloads to this environment. This roadmap ensures German public sector organizations and KRITIS entities can leverage advanced AI capabilities while meeting their most stringent data residency, operational control, and auditability requirements.

Until sovereign cloud migration becomes viable, our deployments emphasize regional hosting preferences, customer-managed encryption keys, least-privilege access principles, and data minimization practices—establishing a foundation that aligns with both current compliance needs and future sovereign requirements.

Getting Started

Every organization’s AI journey is unique. Whether you’re exploring initial use cases, planning enterprise-wide deployment, or navigating specific compliance requirements, our team brings deep expertise in both AWS technologies and German regulatory landscapes.

We begin with a comprehensive assessment of your current information architecture, user workflows, and strategic objectives. This foundation enables us to design solutions that deliver immediate value while supporting long-term AI initiatives across your organization.

Ready to explore how agentic AI can transform your organization’s information access and decision-making capabilities?

Contact our team to discuss your specific requirements and learn how AWS-powered intelligent solutions can accelerate your digital transformation while maintaining the security, compliance, and sovereignty standards your organization demands.