Client
Kazatomprom
Selected work / Kazatomprom
Kazatomprom AI Training
A practical two-day program showing how AI can simplify daily knowledge work and support reporting, counterparty review, procurement, finance, and risk workflows.
Format
2 days
Focus
AI at work
Kazatomprom
Workshop program, practical prompts, meeting and document workflows, and applied finance, procurement, and risk scenarios.
The work
The program moved from generative AI foundations into prompts, document simplification, meeting summaries, email writing, reporting, counterparties, and transaction checks.
What mattered
The examples had to map to actual corporate work instead of generic ChatGPT demos.
What shipped
A workshop structure, practical exercises, reusable prompt patterns, and a video testimonial prepared for the public case page.
Case study
Kazatomprom AI Training
Kazatomprom needed an applied introduction to AI that would not stop at "write a post with ChatGPT". The program had to explain the basics clearly, then show where AI fits into reports, meetings, letters, counterparty analysis, transaction checks, and sanctions-risk screening. The training was built as two dense days: first the mechanics of modern generative AI, then practical business scenarios where participants could see what changes in their own work.
Need
Move from curiosity to useful habits
People had already heard about ChatGPT and other generative tools. The harder question was practical: how do you use AI when the work is documents, meetings, reports, counterparty files, and risk-aware decisions?
Program
A practical two-day AI workshop
Day one covered foundations: AI history, modern generative models, prompt engineering, document simplification, idea generation, meeting transcription, summaries, and business correspondence. Day two moved into applied scenarios: anomaly detection in operational and financial reporting, counterparty evaluation, stakeholder affiliation, transaction parameters, supply chains, price checks, and sanctions-risk screening.
Workshop design
Theory only where it helped the work
The content was layered deliberately: enough theory to understand modern generative AI, then work patterns people can reuse: write, summarize, compare, check, structure, and prepare a decision.
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Want a program like this inside your company?
I adapt the course to your industry, internal documents, and real decisions people make at work.