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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Knowledge becomes outdated quickly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 What was state-of-the-art yesterday is outdated tomorrow.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 Understanding AI Agents
+
Agent taxonomy: assistants, co-pilots, autonomous agents, multi-agent systems. Current platforms and frameworks: OpenAI, Anthropic, LangChain, CrewAI, AutoGen. Architecture patterns: ReAct, Plan-and-Execute, Tool-Use, Memory Systems. Distinction: when is a chatbot enough, when do you need an agent? Market overview and development dynamics.
Modul 2 Application Areas and Use Cases
+
Agents in operations: process automation, monitoring, escalation logic. Agents in knowledge work: research, analysis, content creation, reporting. Agents in customer service: intelligent routing, context understanding, handover. Agents in software development: code review, testing, deployment. Use case evaluation: ROI, feasibility, risk assessment.
Modul 3 Adoption in the Organization
+
Change management for AI agents: building acceptance, addressing resistance. Roles and responsibilities: who steers, who monitors, who optimizes? Governance framework: guidelines, control, compliance, data protection. Scaling strategy: from pilot to enterprise-wide standard. Success measurement: KPIs and metrics for agent deployment.
Modul 4 Hands-on: Building and Integrating Agents
+
Configure your own agents: from idea to working prototype. Tool integration: connecting agents with APIs, databases and internal systems. Testing and evaluation: systematically assessing and improving agents. Create an adoption plan: concrete next steps for your organization. Certificate handover and follow-up agreement.
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