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AI MASTERCLASS

AI Agents and
Adoption

Understand, deploy and embed AI agents in your organization.

For specialists, managers, IT, operations and innovation
Your challenges

AI agents are changing work
faster than organizations can adapt

01

Agents are underestimated

AI agents have long moved beyond chatbots. Companies that fail to recognize this are falling behind on autonomous workflows and intelligent process management.

02

Adoption stalls

New technology alone is not enough. Without targeted adoption in processes, roles and mindsets, the potential of AI agents remains untapped.

03

No strategic framework

Teams experiment in isolation, without clear criteria for deployment, governance and scaling of agents. The bridge between pilot project and enterprise standard is missing.

04

Knowledge becomes outdated quickly

The agent landscape evolves in months, not years. What was state-of-the-art yesterday is outdated tomorrow. Continuous adoption is essential.

Masterclass Content

What you will learn

Modul 1 Generative AI and Agent Fundamentals
+
Introduction to generative AI, ChatGPT and LLM functionality. Data protection aspects, solutions and workarounds. Myths, facts, limitations and hallucinations. Core concepts: LLM model, LLM system and system architecture. Differences between RAG and fine tuning. Access to applications in the context of enterprise architecture.
Modul 2 Designing Use Cases and AI Agents
+
Identification and validation of ideas. Validation methods based on value driver analyses. AI Agent Business Canvas. Creating human-like resources and personas. Creating and optimizing custom instructions. Building CustomGPT models with and without proprietary data.
Modul 3 Building AI Agents: Hands-on
+
Interactive creation of own AI agents with direct feedback. Playground fundamentals, Assistant API, Threads and Function Calling. Function Calling example with Zapier. No-code applications: Zapier, Make, n8n, Microsoft Power Automate. Creating no-code automations.
Modul 4 Multi-Agent Frameworks and Integration
+
Application areas, benefits and limitations of multi-agent frameworks. Overview: CrewAI, Autogen, Swarm, ChatDev. Integration of AI agents into business processes: examples for functions, industries and processes. Deploying GPTs in professional environments.
Modul 5 AI Adoption and Strategy in the Enterprise
+
Strategy development and prioritization of AI adoption. AI readiness checks and measure prioritization. Project initialization, governance and target model. Identification and evaluation of use cases for generative AI. Impact on strategy, business model, processes and organization. EU AI Act fundamentals and compliance.
Your value

What you take away

01

Agent Competence

You understand the agent landscape, evaluate application areas with confidence and make well-founded strategic technology decisions for your organization.

02

Adoption Capability

You have a concrete, actionable plan for how AI agents can be systematically introduced, governed and scaled effectively across your entire organization.

03

Hands-on Experience

You have configured, tested and integrated your own agents into real workflows. Solid practical expertise over pure theory, ready for direct application.

Format & Details

At a glance

Duration
0.5–2 days as needed
Participants
Max. 30
Location
On-site / Online
Certificate
Yes

Ready for AI agents?

Secure your spot in our next AI Agents and Adoption Masterclass.

Request masterclass