AI-based strategies in business development

Business development in transition

• Traditional BD vs. AI-supported BD – differences and added value.
• Expectations of markets, customers, and stakeholders regarding new business development.
• From gut feeling to data-driven decisions.

Identifying customers, markets, and opportunities

• Use of AI-supported tools and market analyses
• Identify relevant information for decision-making - Filter and evaluate data in a targeted manner 
• Confidently using modern AI tools in business development

Develop new business areas

• Methods for generating ideas and evaluating business potential.
• AI as a sparring partner: running through scenarios, simulating market opportunities.
• Exercise: Develop initial sketches of a business case with AI support.

Providing practical support for business development

• Preparing for customer meetings: AI as a research assistant.
• Sharpen your value proposition with the help of AI suggestions.
• An overview of tools for text, analysis, and creativity—and which ones are useful for what.

Experimenting & Reflecting

• Hands-on: Try out 1–2 selected tools training during training .
• Reflection: Which experiences were helpful, and what limitations exist?
• Tips and tricks for transferring into everyday life.

Implementation & Transfer

• Further develop your own BD ideas and validate them with AI.
• Derive adjustments for organization and processes.
• Personal roadmap for sustainable business development.