BACK TO AI Training & Workshops

Generative AI in Business Workshop – Strategy for Leaders

Generative AI in business workshop for boards and management teams. Understand AI capabilities, risks, and strategy in your industry.

Author: Paweł Wiszniewski · Updated:

Key takeaways

Generative AI in business workshop for boards and management teams. Understand AI capabilities, risks, and strategy in your industry.

  • ›Clear understanding of generative AI capabilities and limitations without technical jargon
  • ›Industry-specific case studies from comparable companies: what worked, what did not, what it cost, and what it saved
  • ›Individual AI priority map for every participant

Price: from €1,500 / session

SERVICE DETAILS

Generative AI in business is an intensive half-day or full-day workshop for boards, supervisory boards, and management teams. Goal: building a genuine understanding of AI — not hype, not panic, but facts and decision frameworks. Programme: what AI can (and cannot) do in your industry, case study reviews from comparable companies, assessment of your own processes for automation potential, operational and legal risks (AI Act, GDPR), the AI maturity model and where your company sits on that scale. Every participant leaves with a personal AI priority map.

› INVESTMENT:

from €1,500 / session
const module = new ExecutionProtocol();

// Initializing ai-business-workshop...
› Loading dependencies... OK
› Establishing connection... OK
› Ready for deployment... AWAITING_COMMAND

Paweł Wiszniewski · my approach

What I do differently

I run board workshops on working examples, not forecast slides: I show live an agent resolving tickets, document automation and a system answering questions from company documents. Participants see what AI can really do and where it fails. The second half of the workshop is work on your list of use cases rated by value, difficulty and risk — you leave with decisions, not just inspiration.

See the demos I show in workshops

My take and a real-world example

My take

I think the biggest AI gains in a company don't come from the best employees but from those still learning. That changes how a board should think about deployments.

From the market

An NBER study (Brynjolfsson, Li, Raymond) using data from over 5,000 customer support agents found an AI assistant raised productivity by 14% on average and by 34% for novice and less experienced workers, with minimal impact on the most experienced. In workshops I show how to use this effect in onboarding and team training.

Sources: NBER: Brynjolfsson, Li, Raymond — Generative AI at Work

Who this is for

  • Boards and managers who need to make AI decisions.
  • Companies early in their AI journey that want a shared understanding among leaders.
  • Organizations preparing an AI strategy or budget.
  • Managers who want to know how AI will change their teams' work.

What you get

  • An overview of generative AI capabilities with examples from your industry.
  • Live demos of AI tools and agents.
  • A discussion of costs, risks, the EU AI Act and data security.
  • An exercise: a list of AI use cases rated by value and difficulty.
  • A summary with recommended next steps.

How results are measured

  • A list of AI use cases agreed by participants.
  • Decisions and next steps taken after the workshop.
  • Participants' rating of the workshop.
  • Time from workshop to first pilot.

Key Benefits

Clear understanding of generative AI capabilities and limitations without technical jargon — leadership makes strategic decisions based on facts, not TechCrunch headlines.

Industry-specific case studies from comparable companies: what worked, what did not, what it cost, and what it saved — concrete examples, not abstract possibilities.

Individual AI priority map for every participant — every manager leaves with a list of 3-5 processes in their area ready for automation.

Understanding of legal and regulatory risks (AI Act, GDPR) and how to mitigate them — without legal jargon, in the language of business decisions.

Shared AI language for the entire leadership team — a fundamental condition for effective AI strategy implementation across the organisation.

The Process

1

Industry customisation

Before the workshop I research the client's industry, gather the latest case studies, and tailor materials to the sector's specifics (finance, manufacturing, retail, professional services, etc.).

2

Part 1: AI state of play and capabilities (1.5h)

Where AI is now (production, not science fiction), what generative AI can and cannot do, overview of tools and models — with live demonstrations, not slides.

3

Part 2: AI in your company (2h)

Mapping company processes onto the AI maturity model, identifying opportunities and risks, industry case studies, exercise: every participant assesses their department and builds a priority list.

4

Part 3: Next steps (1h)

How to start: quick wins, building internal competencies, choosing the first AI project, risks to manage. Q&A, collecting priorities into a collective roadmap.

Common mistakes

  • A workshop built on generic trends with no link to participants' industry.
  • Showing only AI successes without limits, costs and risks.
  • No closing list of specific decisions and next steps.
  • Skipping legal topics: the EU AI Act, GDPR and liability for errors.

When this service is not worth it

  • The board already has an AI strategy and needs implementation support.
  • Participants expect training on a specific tool.
  • Key managers can't be brought together on one date.

Frequently Asked Questions

Who is this workshop for — only the board?

The programme is optimised for leadership (board, directors, managers) but I also deliver a version for a broader group of employees. For a mixed group — I adjust the theory-to-practice ratio accordingly.

Can the workshop be split into two shorter sessions?

Yes — a 2x3h format over two weeks works better for busy leadership teams than one intensive day. In the gap between sessions participants have time to reflect on the material and prepare questions.

Can training materials be shared with absent managers?

Yes — I deliver a materials pack for broader distribution in the organisation: a condensed summary (3-5 pages), slides, and a recording (if ordered). Absent colleagues can catch up in 30 minutes.

How do you measure the effect of the workshop?

I propose a pre- and post-survey measuring confidence in AI decision-making (1-10 scale) and concrete KPIs: number of AI initiatives identified, pilot projects launched within 90 days of the workshop.

How long is a generative AI workshop for the board?

Usually half a day or a full day, depending on the topics. It can also be split into two shorter sessions, e.g. a capabilities overview and a separate use-case session.

Can the workshop take place at our office?

Yes. I run workshops on-site across Poland and online. On-site works better for the use-case session.

How much does a board AI workshop cost?

A workshop costs from €1,500 per session. The price depends on length, number of participants and how much the program is tailored to your industry.

Got a project?

Terminate
Silence

Initiate protocol. Establish connection. Let's build something loud.

> WAITING_FOR_INPUT...