AI Starter Workshop

A Practical Leadership Workshop for Smarter AI Decisions

AI is no longer a novel technology, it’s a key element of business viability. AI integration is a leadership issue that affects how manufacturers operate, compete, attract talent, and respond to growing pressure around cost, speed, quality, and decision-making. For leaders, the challenge is not simply understanding AI. It is knowing where it matters, where it does not, and how to move forward without wasting time, money, or trust.

This workshop is designed for executive leaders and decision-makers who want to evaluate AI in a practical business context. Rather than general AI training, the focus is on helping leaders reduce risk, identify where AI can relieve pressure, ask better questions, and make smarter decisions about tools, vendors, talent, and next steps.

Value participants will receive:

• Learn where AI can reduce pressure, improve decisions, and strengthen business performance
• Build confidence in evaluating AI opportunities, solution options, and readiness gaps
• Better assess vendors, partners, and job candidates for real AI capability
• Identify practical use cases and avoid wasted time, unclear priorities, and expensive trial and error
• Understand how to build a more AI-forward organization that supports talent, trust, and adoption

Training format:

• Live, in-person workshop
• A mix of presented content and guided discussion
• Open Q&A throughout the session
• Live AI demonstrations tied to practical business use cases
• Follow-up job aids and reference materials provided for continued learning

Bring your challenges:

• Bring your AI questions, concerns, and real-world challenges to this collaborative workshop
• Participants will have time to discuss practical scenarios and explore next steps in context

Topics covered:

• AI fundamentals: what it is, why it is different, and how it works
• Common types of AI and when to use them
• Matching AI tools and solutions to business challenges
• Cloud, vendor, and capability considerations
• Assessing AI relevance and readiness gaps across skills, technology, resources, and practices
• Using AI effectively, including prompt engineering with examples
• Identifying, gathering, and prioritizing use cases
• Applying Agile and Lean thinking to AI decisions, implementation, and continuous improvement
• Building internal champions and supporting adoption
• Safe and responsible AI integration, including governance, reputation, and corporate responsibility
• Workforce and ecosystem resources that support AI learning and adoption

If you are exploring AI but want to avoid wasted effort, unclear priorities, and expensive trial and error, this workshop provides a practical place to start. It helps leaders make smarter decisions earlier, saving time, reducing risk, and improving future investment choices.