Imagine your team starts making smart decisions, supported by AI agents. You steer these new co-workers, set priorities, and evaluate suggestions.
The question is no longer if, but how we want to lead with AI.
Welcome to your new role as an Agent Boss.
AI agents are already co-deciding, data-driven, adaptive, and transparent.
Leadership with System Intelligence
Strategic decisions often need to be made under pressure, when time is short, data is conflicting, and uncertainty is high. In these moments, what counts are facts, speed, and the ability to assess risks intelligently.
With multiple AI agents at your side, the way you lead will fundamentally shift. It continuously connects the dots in your data, identifies patterns, assesses risks, and suggests informed next steps, and keeps learning with every input. In the Executive Intelligence workshop, you’ll experience step by step how this can work in your organization. Together, we develop and implement an AI-supported decision workflow tailored to your specific reality:
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You define your goals and key questions
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Ideate how AI-Agents could support you
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Set priorities and decision criteria
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And build a system that thinks and acts like a virtual expert team
Shaping the organization of the future:
This approach doesn’t replace human leadership, it strengthens and expands it. We believe that AI becomes an enabler: a catalyst for new forms of responsibility, foresight, and collaboration. At the center remains the human: shaping, accountable, and in charge of every final decision.
The impact of AI-powered leadership:
Integrating AI into decision-making processes increases efficiency, improves decision quality, boosts organizational resilience, and creates space for innovation. In doing so, companies gain sustainable competitive advantages and strengthen their future readiness in dynamic markets. What once sounded like the future is now becoming reality in some of the world’s most progressive organizations. These pioneers are redesigning leadership through hybrid decision-making, where humans and AI work side by side. Research calls them: Frontiers (Microsoft Study 2025).
From Thinking to Experiencing: Leading with AI
No prior technical knowledge is required. This is about hands-on experience and building real collaboration between humans and AI agents. You’ll engage with an intelligent system that thinks along with you, links data, and provides suggestions in real time, all grounded in your organizational reality. You’ll create a tangible model of the future and develop a sense of what AI-powered leadership could look like – and the role you might play in it. Human-AI teams open up entirely new possibilities. But they also raise many important questions:
How can we ensure compliance, decision quality, and accountability in a human-AI decision model?
How does the organization change when humans and AI agents collaborate closely (Human-in-the-Loop principle)?
How should organizations be designed to effectively integrate AI into teams?
How does team composition (human-human vs. human-AI) impact trust and team dynamics?
What factors determine the acceptance and trust in AI as a team member?
Start Your Journey
Live Configuration of a “Human–Agent Team”
Why now?
82% of executives see 2025 as a turning point. In this new world of work, people become the strategic leaders of intelligent agents – as Agent Bosses, they reshape how organizations operate.
In this workshop, you’ll build your own Human–Agent Team workflow, from defining goals to selecting data sources and making real decisions. In real time, you’ll see how AI analyzes scenarios and delivers well-founded recommendations, in a hands-on, transparent, and interactive way.
Real Business Case from Your Day-to-Day
Whether it’s planning, forecasting, or customer analysis: you’ll work with real scenarios and discover how AI already creates real competitive advantages.
Direct Transfer to Your Organization
You’ll identify relevant use cases in your area of responsibility and develop first implementation ideas. This is how AI becomes your real strategic partner.
Target group
Executives, C-Level Leaders, and Heads of Departments (Strategy, Finance, Digitalization, Innovation)
FORMAT & Duration
Executive Workshop (4 hours) with a strong practical focus and hands-on prototyping. Optional follow-up session (2 hours)
You’ll also receive supporting materials and tailored recommendations to ensure long-term, effective collaboration between humans and AI in your organization.
Durchgeführt von:
Prof. Dr. Gudrun Socher:
Expert in Artificial Intelligence, Machine Learning, and Automation
Prof. Dr. Tina Weisser:
Specialist in Process Design, Service and Transformation Design, and Leadership
Two experts from the Munich Center for Digital Sciences and AI (MUC.DAI) at Munich University of Applied Sciences. Together, they combine deep technological understanding with hands-on application, scientifically grounded, strategically relevant, and immediately actionable.
Our Mindset:
Independent, clear, and at eye level. We don’t offer standard answers – we create space for strategic thinking and bold decisions.
Our Principles:
Evidence-based design
Micro-learning with impact
Practice-based application
Experience-based learning
Maximum knowledge transfer
Adaptive implementation
What might your team look like, with AI agents on board?
You manage a team, carry a wide range of responsibilities, and make important decisions under pressure. Constant information, back-and-forth coordination, and daily requests can drain your focus, often leaving no time for what really matters.
What if AI agents could support you?
What if they could sort through data, prepare options, suggest what to focus on, so you could stay clear and lead with intention?
The result: better decisions, sharper priorities, and stronger leadership, even in uncertain times.
A Real Case: Build Your First Human–Agent Team
In the workshop, you’ll create your own Human–Agent Team, based on your actual work situation:
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Agents that help you analyze, simulate, and prioritize
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Interfaces that support smooth interaction between people and machines
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Clear workflows that show who decides what, and how
In the Workshop, You’ll Explore:
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Where AI could help you to create more value
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What tasks AI agents could take on in your team
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Which data sources should be used to support decisions (e.g., projects, budgets)
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Where humans and agents work together deliberately, and where clear boundaries are needed
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How to design an effective flow of information between people and agents
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What risks might arise and how to address them
Outcomes for You and Your Team:
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A first hands-on experience with a configured AI agent
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A tangible vision of what hybrid decision-making can look like
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Reflection on your leadership role in collaboration with system intelligence
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Concrete starting points for Human–Agent teamwork in your area of responsibility
Independent, clear, and collaborative. We don’t provide standard answers. we create room for strategic thinking and informed decisions.
— Prof. Dr. Gudrun Socher & Prof. Dr. Tina Weisser
82%
of executives say: 2025 is the year to rethink strategy and organization, with Human–Agent Teams in mind.
100%
of employees will soon manage at least one AI agent, acting as Agent Bosses in hybrid teams.
81%
of companies plan to integrate AI agents into decision-making processes within the next 12–18 months.
How Humans and Agents Work Together — Effectively and Strategically
1. Strategic Forecasting & Scenario Development
Potential roles of agents in Human–Agent Teams:
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Data Agent – Consolidates internal and external sources on market trends, competitor behavior, and regulatory shifts
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Scenario Agent – Builds plausible future scenarios based on defined variables
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Risk Agent – Assesses likelihoods and potential impacts
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Validation Agent – Compares scenarios with historical data, industry trends, or benchmarks
Role of your team:
Strategy leads analyze and evaluate scenarios, interpret risks, and derive sound decisions from them.
Executive benefit:
Greater clarity in dynamic markets, better decision quality, and early risk mitigation for strategic options.
Potential risks:
One-sided or incomplete data may distort scenarios. Without human reflection, there’s a risk of wrong priorities or blind automation.
2. Innovation Management
Potential roles of agents in Human–Agent Teams:
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Trend Agent – Identifies emerging technologies and societal shifts
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Idea Agent – Organizes innovation proposals from internal and external sources
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Evaluation Agent – Ranks ideas based on feasibility, market potential, and strategic fit
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Clustering Agent – Groups similar ideas, reduces redundancy, and enhances transparency
Role of your team:
Product owners review suggestions, set priorities, and make final decisions on promising innovation projects.
Executive benefit:
Faster innovation cycles, better portfolio visibility, and higher success rates in market launches.
Potential risks:
Data-driven evaluation may overlook creative or unconventional ideas. Without human judgment, there’s a risk of losing disruptive potential.
3. Talent and Skills Development
Potential roles of agents in Human–Agent Teams:
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Needs Agent – Identifies skill gaps at individual, team, and organizational levels
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Learning Path Agent – Designs personalized development paths based on strategic requirements
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Evaluation Agent – Assesses progress, learning transfer, and real-world impact
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Matching Agent – Links individual competencies to internal projects, roles, or growth opportunities
Role of your team:
HR teams and leaders review recommendations, guide implementation, and ensure quality, relevance, and cultural fit.
Executive benefit:
A future-ready workforce, targeted development of critical skills, and improved return on learning investments.
Potential risks:
Standardized suggestions may overlook personal needs or ignore organizational context. Without human oversight, there’s a risk of misalignment or missed potential.
1. Intelligent Sales Steering
Potential roles of agents in Human–Agent Teams:
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Research Agent – Identifies relevant market and customer data from both internal and external sources
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Scoring Agent – Automatically evaluates leads based on potential, needs, and strategic fit
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Outreach Agent – Generates personalized suggestions for customer communication
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Prioritization Agent – Sorts leads by likelihood to close and urgency
Role of your team:
Sales leads validate suggestions, approve outreach, and ensure the right tone, timing, and relevance in client communication.
Executive benefit:
Faster sales cycles, more efficient resource allocation, and increased conversion rates.
Potential risks:
Misclassification due to incomplete or biased data can lead to ineffective outreach or missed opportunities.
2. Efficient Customer Service with Quality Assurance
Potential roles of agents in Human–Agent Teams:
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Routing Agent – Automatically sorts and prioritizes customer inquiries
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Knowledge Agent – Maintains and updates the internal knowledge base
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Response Agent – Generates suggestions for personalized replies
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QA Agent – Monitors the tone, consistency, and quality of response drafts
Role of your team:
Service staff review all automated responses, adapt them when needed, and release them with care and accuracy.
Executive benefit:
Scalable, high-quality customer service with lower operational costs.
Potential risks:
Standardized replies without human review may lead to off-tone communication and potential reputational damage.
3. Marketing Performance Management with AI Support
Potential roles of agents in Human–Agent Teams:
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Analytics Agent – Assesses the performance of active campaigns
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Forecast Agent – Delivers data-driven predictions on reach and impact
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Optimization Agent – Recommends specific actions for improvement
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Testing Agent – Independently runs A/B tests to compare effectiveness
Role of your team:
Marketing teams interpret the results, approve next steps, and ensure alignment with brand strategy and tone.
Executive benefit:
Stronger campaign performance, smarter budget allocation, and clear success tracking.
Potential risks:
Misinterpretation due to poorly trained models or misleading data can lead to flawed decisions.
Let’s talk about your real-world challenges – and explore how Human–Agent Teams can create clarity, speed, and direction in your leadership
