AI Strategy & Implementation for SMEs | HAGEN+TRIEBSCH Hamburg

AI-Strategy & Implementation

We accompany companies on their journey to modern Microsoft cloud environments.

Artificial Intelligence with a Plan - Instead of Knee-Jerk Action

Many companies feel pressured to "do something with artificial intelligence (AI)" without a clear strategy or a solid foundation. This is precisely where we come in: we work with you to develop a viable AI strategy, build the necessary expertise within your team, and ensure a legally compliant implementation—covering all data protection and compliance matters (GDPR and the EU AI Act).

Our focus is on implementation: We turn strategy into measurable results - higher throughput, shorter processing times and noticeable relief for your team.

From strategy to productive operation

Holistic, vendor-neutral, and from a single source - development meets operations.

AI Strategy & Target Vision

Assessment of the current situation, identification and prioritization of meaningful use cases, roadmap, and economic viability analysis. Typical starting points: quote and document creation, customer service, internal knowledge search, invoice and receipt verification.

Knowledge Building & Enablement

Training, workshops, and skills development to enable your team to use AI tools confidently and responsibly.

Legally compliant implementation

Data protection, EU AI Act, governance, policies, and data protection impact assessment - AI deployment on a secure legal foundation.

Process Analysis & Use Case Assessment

Identification of suitable business processes, assessment of benefits, effort, and risk, and selection of pilot projects.

Implementation & integration

Implementation using Microsoft 365 Copilot, Copilot Studio, and Azure OpenAI Service, as well as custom solutions - integrated into your existing systems.

Operations & Optimization

Monitoring, maintenance, quality assurance, and continuous further development of the implemented AI solutions during ongoing operation.

Technologies & Platforms

Microsoft Semantic Kernel

Azure AI Document Intelligence

Azure AI Content Safety

Large Language Models

KI-Agenten

Prompt Engineering

Model Context Protocol (MCP)

Responsible AI / KI-Governance

EU-KI-Verordnung

Five steps to an AI-powered process

Step 1

Location & Strategy

Maturity level, goals, and use cases - deriving a clear AI roadmap.

Step 2

Knowledge & Governance

Capacity building as well as legal and organizational guardrails.

Step 3

Piloting

Testing of selected processes with measurable success criteria.

Step 4

Implementation

Productive implementation and integration into existing systems.

Step 5

Operations & Scaling

Stable operation, performance measurement, and gradual expansion.

What matters to us

Strategy & Knowledge Building

We empower you to ask the right questions before you invest: Where does artificial intelligence (AI) create genuine added value, and what skills does your team need for it? Together, we develop a strategy that suits your company—not just the latest product announcement from a vendor.

Legal and GDPR-compliant implementation

Deploying AI requires a solid foundation. We address data protection, data storage, and the requirements of the EU AI Act; define guidelines and responsibilities; and ensure a demonstrably secure implementation—backed by our information security management system (ISMS), which is aligned with ISO/IEC 27001.

Process Transformation & Implementation

Our core promise: We transform concrete business processes into AI-powered workflows—ranging from document-intensive administrative tasks and customer communication to internal knowledge retrieval. The goal is significantly higher efficiency without increasing staffing levels.

Your Introduction to Artificial Intelligence

Small and medium-sized enterprises (SMEs) without in-house AI expertise that are looking for a structured entry point.

Management teams aiming for efficiency gains while maintaining current staffing levels.

Companies in the Microsoft ecosystem looking to implement Microsoft 365 Copilot effectively and securely.

Organizations that need to implement AI in a legally compliant manner (GDPR, EU AI Act).

Specialist departments with repetitive processes that are heavy on documentation and communication.

Companies that are already using initial AI tools but lack strategy and governance.

FAQ

Do we already need to know what we want to use artificial intelligence (AI) for?

No. That's exactly what we work out together with you: we jointly identify meaningful use cases, evaluate benefit and effort, and derive a clear roadmap from that.

Does AI mean we need to cut staff?

No. Our goal is to help your existing team achieve significantly more: routine tasks get lifted off their shoulders, freeing up time for your employees to focus on higher-value work.

Which technologies do you rely on?

Primarily the Microsoft ecosystem (Microsoft 365 Copilot, Copilot Studio, Azure OpenAI Service) as well as custom integrations in the .NET environment - complemented by methods such as Retrieval-Augmented Generation (RAG).

How do you ensure data protection and legal compliance (GDPR, EU AI Act)?

We clarify data storage, responsibilities, and policies upfront and set up your AI deployment in compliance with GDPR and the EU AI Act - backed by our ISMS, which is aligned with ISO/IEC 27001.

How do we get started, concretely?

Usually with a compact discovery workshop: we assess your maturity level, prioritize initial use cases, and start with a pilot project with measurable success criteria.