AI for ExecutivesA 3-Hour In-Person Workshop
Applied training for realizing the potential of artificial intelligence in an advanced organizational environment — moving from intuitive use to a structured, consistent, and clear working method.
From Ad Hoc Experimentation to Precise Organizational Practice
An applied executive workshop for realizing the potential of artificial intelligence in an advanced organizational environment. The workshop is based on current working methods developed at ArtificialGate, especially SCOPE-R — a structured methodology for precise work with language models that moves teams from intuitive use to structured, consistent, and clear practice. The workshop is tailored to the organization’s working environment.
Choose the Right Tasks
Identify where chat accelerates work and where human professional judgement remains essential.
Work From Sources
Separate facts, inferences, and missing information while grounding outputs in reliable organizational material.
Control Quality
Verify sources, calculations, assumptions, and recommendations before using an output.
Create a Repeatable Method
Save templates and checklists that make successful workflows reusable in daily work.
Based on Winning Intelligence: The New AI Advantage
The book by Dr. Barak Or provides the framework for thinking, working, and making decisions with AI. The workshop translates those principles into practical exercises for managers and the organizational work environment.
Audience and Prior Knowledge
Managers, team leaders, and professionals in the organization. No prior technical background is required. Participants should be familiar with organizational workflows and have basic working knowledge of Microsoft 365.
Package Includes
One applied, 3-hour in-person workshop for small groups.
What We Cover in Three Hours
Choosing High-Value Tasks
When to use chat to accelerate processes, and what must remain a human professional decision.
The S.C.O.P.E-R Model
A structured method for framing, checking, and improving work with language models.
Source-Grounded Work
Selecting the files, emails, meetings, and websites on which the output relies; creating a clear separation between facts, inferences, and missing information.
Choosing the Work Environment
Using chat for thinking and research; word processors for documents and requirement summaries; spreadsheets for data analysis and comparison; and presentation software, with emphasis on building a reusable template.
Quality Control — Red Teaming
Clarifying questions, source checking, calculation verification, assumption detection, and avoiding unsupported recommendations. Participants analyze and compare documents and scenarios containing deliberate gaps and conflicting data.
Human in the Loop
Working alongside chat while managers remain responsible for facts, professional judgement, and decisions in the final output.
Turning It Into a Working Method
Saving prompt templates and checklists to reproduce success and streamline recurring tasks.
Ready to Turn AI Into a Management Practice?
We will adapt the examples, exercises, and sources to your organization’s working environment.