Make AI production-ready.
Accelerate innovation.
Secure. Sovereign. Scalable.
AI & Agentic AI
We support companies from the initial AI idea through to production deployment. From first use cases and enterprise-wide AI transformation to AI-native and agent-driven systems. With solutions that truly work in regulated environments.
Seize opportunities
The technology is here.
Now it is about operationalizing AI securely, sovereignly, and at scale.
Most companies have tested AI. Now the focus is on transitioning it into steady-state operations. Three key questions currently define the agenda:
- How do we use Agentic AI productively, efficiently, and securely—not as an isolated tool, but embedded in core processes?
- How do we maintain our sovereignty—despite growing dependence on model providers?
- How do we meet regulatory requirements—without blocking AI innovation?
What slows down AI initiatives
Lack of an AI strategy
Many initiatives emerge in isolation, without clear goals, responsibilities, or prioritization.
Technological dependence
A small number of AI providers control access terms, pricing structures, and model availability. For companies whose operational processes are built on these models, this represents a strategic operational risk.
Insufficient
system integration
Agentic AI systems only deliver their full value when they are embedded as an integral part of operational workflows. A lack of process and system integration causes processes to break down and makes scaling impossible.
Lack of AI governance
AI agents act autonomously. This requires clarity on which actions they are authorized to perform and how their behavior is documented in a verifiable way. Otherwise, a regulatorily robust operation is not possible.
Unclear operating model
AI solutions must be continuously fine-tuned. Without an operating model, processes and responsibilities are missing—for example for updating models, monitoring, or quality assurance in steady-state operations—which hinders scaling.
Cybersecurity
AI agents access systems and process sensitive data. Without an AI security architecture, incalculable security risks arise.
What slows down AI initiatives, almost always has the same root cause: an inadequate architecture. Governance, Security and sovereignty for autonomous agents must be embedded in the architecture design from the very beginning in order to lay the foundation for successful scaling of AI applications .
– Tobias Gaukstern, Head of AI Transformation, S&N Group AG
The S&N approach
From idea to production AI
Identify potential & strategically prioritize initiatives
Not every idea creates value.
We develop and assess AI initiatives—especially new Agentic AI scenarios—based on strategic value, scalability, and regulatory requirements.
Design the architecture
and embed regulation natively
We design architectures that scale, are secure, can be implemented sovereignly, and embed regulatory requirements across the lifecycle of agents.
Integrate agents into processes
AI delivers its value when agents are seamlessly embedded in business processes. To achieve this, we connect agents to IT systems, support the rollout, and enable employees.
Secure steady-state operations and scale in an audit-proof manner
From monitoring and operations to continuous improvement, we create the foundation for sustainable AI use.
Over the past decades, we have experienced many technology waves. The challenge was never the technology itself. The challenge has always been to bring innovation into practice securely, in a regulatorily sound way, and with clear economic value.
– Markus Beverungen, Board Member S&N Group AG
The outcome of successful AI initiatives
S&N AI capabilities
AI Transformation
Isolated AI projects do not go far enough. We support holistic AI transformation—from defining vision and strategy and the AI Target Operating Model to the rollout strategy and a prioritized roadmap that links technological milestones with concrete use cases. Targeted enablement empowers teams to use AI independently and ensures a smooth transition from initial pilot projects to enterprise-wide, sustainable scaling.
Use Case Discovery
Where does AI deliver the greatest benefit in your company? We support you with a structured analysis of your processes, identify optimization potential, and assess use cases—from everyday AI usage to complex agent scenarios—based on strategic value, feasibility, business case, and compliance alignment. The result is a prioritized use-case list as a robust basis for decisions and direct input for your AI roadmap.
Design and implementation of AI agents
We deliver agentic systems that do not get stuck in pilot mode—from use-case analysis to audit-ready production operations in regulated environments. Our solutions are built on a proven reference architecture, integrate securely into existing system landscapes, and scale from a single agent to multi-agent orchestration—regulatorily compliant and operated on an AI platform.
AI workflow automation
We develop AI-supported workflow systems—for example for back office or customer service—that combine structured processes with the targeted use of specialized AI agents and integrate seamlessly into existing business and approval workflows. AI agents act as smart building blocks, taking on complex subtasks and supporting decisions. The result is automation that goes far beyond rigid rule sets and also resolves dynamic exception cases.
Agentic Customer Interface
We deliver conversational AI solutions and customer dialogue systems in which AI agents execute actions directly within natural customer conversations. This can include, for example, support center tasks or transactions such as bank transfers or ETF deposits. Our approach covers CX target-state development, potential analysis, technology and architecture consulting, implementation, and operational support. Solutions are delivered as custom development or on existing conversational AI platforms and integrate across channels into existing core systems.
Agent Security
We design and integrate multi-layer security architectures specifically for AI agents. Starting with a strategic security assessment and technical threat modeling, we develop a tailored governance framework. Technically, we consistently embed Zero Trust for AI agents as well: with granular access control, isolated execution environments, and a semantic inspection layer that detects and blocks attacks such as prompt injections. Targeted red teaming and continuous behavior monitoring enable resilient operations. Audit trails fulfill evidence requirements under DORA, MaRisk, and the EU AI Act.
AI-native software development (aSDLC)
We transform development processes toward an agentic SDLC (aSDLC)—from maturity assessment to enterprise-wide scaling. A multi-agent system takes on execution and iterative tasks from requirements analysis and testing through to deployment and documentation. This shrinks classic development cycles from weeks to just a few days—while ensuring end-to-end compliance through automated quality gates and human-in-the-loop control points.
Legacy analysis and modernization
AI agents compress months of manual legacy analysis into just a few weeks. Our established approach systematically deconstructs the legacy system—from the code base to business logic—and, based on these facts, evaluates the optimal modernization strategy: technological refactoring, agentic redesign, or a hybrid model. AI agents then carry out the transformations and equivalence checks. The result is a future-proof system that also permanently preserves implicit domain knowledge from the legacy system.
Custom software development
We deliver custom software that maps your business processes precisely and uncompromisingly—without the concessions that standard software forces. AI-based agent systems drastically reduce the costs of creation, customization, and maintenance—complemented by full code ownership, technological sovereignty, and independence from software vendors for sustainable competitive advantages.
Sovereign AI development environment
We make you independent of proprietary agentic coding tools. Instead of being locked into a single vendor, we rely on alternative, open coding agents and take care of their selection, configuration, and provisioning as a protected, customer-managed framework (“Harness”) that is integrated directly into your processes. Provisioning is compliant and secured—with sandboxing of the execution environment, consistent data protection, and effective safeguards against data exfiltration.
Sovereign AI architectures
We design and deliver sovereign AI architectures as a hybrid overall model or an on-premises solution. The system flexibly integrates frontier models, open-source models, and solutions from trusted partners—controlled by an orchestration layer that automatically routes based on data sensitivity and performance. For the highest confidentiality requirements, a Confidential AI approach ensures cryptographic isolation of data even during processing. The result is a future-proof infrastructure that combines technological independence, data protection, and compliance with full data control.
OSS models and their fine-tuning
We enable you to use powerful open-source models in a targeted way instead of proprietary frontier models. We assess and select suitable models based on requirements, data protection, and cost-effectiveness, and integrate them into your existing landscape. If needed, we adapt the models through fine-tuning to your domain, language, and tasks. This provides full control over models and data—without vendor lock-in and without leakage of sensitive information—while training data and resulting model weights remain entirely owned by the customer.
Agentic AI Platform
We design and implement a scalable Agentic AI platform as the technical infrastructure for exploration, development, testing, and operation of agents and multi-agent systems. A modular architecture, a central orchestration layer, and an end-to-end compliance and security architecture create an extensible foundation for the entire lifecycle of agentic AI solutions. Implementation is delivered using hyperscaler components—sovereignly or as a hybrid solution.
AI-supported security analysis
Our AI-supported approach to security analysis establishes a closed security loop to effectively counter threats across the entire lifecycle at tremendous speed. The structured methodology supports the phases Discover, Analyze, Remediate, and Monitor through automated vulnerability analyses, root-cause analyses, and directly provided code fixes. Through continuous system hardening and targeted automation, we ensure in regulated environments that more vulnerabilities are found and remediated significantly faster.
