Client
Astana Group
Selected work / Astana Group
A foundations workshop from the early AI adoption wave of 2024, designed to turn curiosity about ChatGPT into concrete work habits.

Client
Astana Group
Year
2024
Focus
AI literacy
Astana Group
I led a practical introduction to generative AI for a business audience that had heard the buzz, but needed a calm, usable map: what the models do, how prompts change the result, and where AI belongs in daily knowledge work.
In 2024 the question was not yet agents or complex internal systems. The useful first step was more basic and more important: help people stop treating ChatGPT as a toy and start using it as a draft partner, analyst, editor, and thinking surface.
A live workshop with examples, prompt drills, discussion, and a first business use-case map for documents, emails, summaries, research, idea generation, and internal communication.
Case study
This session belongs to a very specific moment: early 2024, when AI courses for office workers were teaching a new basic kit: what generative AI is, how to write prompts, how to use ChatGPT or Copilot-style tools for writing and summaries, and how to stay responsible with data and facts. People had seen ChatGPT answer questions, write texts, and produce surprising drafts. Fewer people knew how to turn that into useful work. So the workshop was deliberately hands-on. We did not start with futuristic promises. We started with the mechanics that make the tool useful: context, task, constraints, output format, iteration, and verification. From there the conversation moved into familiar business work: letters, summaries, document explanation, agenda preparation, brainstorming, first drafts, and turning messy thoughts into structure.
Need
The team did not need a heavy technical lecture. They needed a shared starting point: what modern AI is, why ChatGPT can be useful, why it sometimes sounds confident while being wrong, and how a professional should frame the task before expecting a good answer.
Workshop
The program moved in layers. First came the mental model: how generative systems differ from search and classic automation. Then came prompt practice: rewriting vague requests into clear briefs, asking for structure, comparing outputs, and iterating instead of accepting the first answer. The final layer was business translation: where AI saves time today, where it needs human judgment, and what kinds of tasks are worth testing first.
Content design
The design matched the maturity of the market in 2024. The useful frontier was not yet a complex agent stack for every department. It was AI literacy: knowing what to ask, how to refine the answer, how to protect judgment, and how to notice repeatable tasks that might later become automation projects.
A 2024 AI foundations session for Kusto Group leaders: a calm, business-first briefing on what generative AI can support, what it cannot own, and how to start without confusing a demo with implementation.
An AI briefing for KEGOC on generative AI, ChatGPT, productivity, infrastructure monitoring, grid optimization, and practical use inside an energy company.
I build the session around the team’s actual work, then turn ChatGPT from a novelty into repeatable habits people can use the next morning.