Agentic AI in Small and Medium-Sized Businesses—Strategy, ROI, and Use Cases
Streamline processes – Lighten the load on teams – Boost productivity
Contents
Module 1: Introduction to Agentic AI, Use Cases, and ROI
- Market and Management Context: Opportunities, Typical Risk Categories, Expectation Management, and Self-Assessment.
- Agentic AI: Fundamentals, Terminology, and Operating Principles (Classification: GenAI, Autonomous Agents, Chatbots, Automation).
- Participants' Use Cases: Identification, Structuring, and Description Using the Agentic Use Case Canvas.
- Evaluation and Prioritization: Business value, feasibility, and risk, including a pragmatic ROI approach.
Module 2: Readiness, Organizational System, and Implementation Planning
- Agentic AI Readiness: Assessing the Current State and Key Areas for Implementation in Organization, Processes, and Data.
- Implementation planning across 6 dimensions, roadmap.
- Quick Update on the EU AI Act.
- Organizational Development: Autonomous Agents as Pseudo-Colleagues, Impact on Collaboration and Leadership, Dealing with Resistance.
- Roles, stakeholder mapping, participation, and communication logic.
- Planning the next steps for the pilot program.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- You understand how and why Agentic AI is strategically important for the productivity and growth of small and medium-sized businesses, and you can realistically assess both the opportunities and risks.
- You will learn to systematically identify and structure your relevant use cases and evaluate them in terms of their benefits, feasibility, and risks.
- You'll learn practical methods for evaluating, prioritizing, and implementing Agentic AI solutions in a business context.
- You will develop concrete strategies for embedding the initiative within the organization and for a sustainable start to its implementation.
- You'll work directly on your own research questions and apply what you learn to your business practices.
Methods
The training instructor-led input and guidance, practical examples, individual and group work, peer group discussions, and structured methods. Throughout the course, participants develop their own use cases based on their organizational context and directly apply evaluation and prioritization strategies.
Please bring training own laptop to training .
Tool
Recommended for
This training for executives and decision-makers from medium-sized and larger companies, particularly from:
- Executive Management, Division Management, and Department Management
- Corporate Development, Digitalization, Innovation, and Transformation
- strategic projects and roles involving responsibility for AI initiatives and organizational development
No prior technical knowledge or programming skills are required.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Further recommendations for “Agentic AI in Small and Medium-Sized Businesses—Strategy, ROI, and Use Cases”
Start dates and details
Monday, 05.10.2026
09:00 am - 5:00 pm
Tuesday, 06.10.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Monday, 18.01.2027
09:00 am - 5:00 pm
Tuesday, 19.01.2027
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Thursday, May 13, 2027
09:00 am - 5:00 pm
Friday, May 14, 2027
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Tuesday, September 14, 2027
09:00 am - 5:00 pm
Wednesday, September 15, 2027
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
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