AI adoption in manufacturing and trading companies, with staff training
I help your company turn AI from a novelty into an everyday work tool: we find the tasks AI does faster, set up the right tools, and I train your staff hands-on.
Best for: Managers and staff in finance, sales, commercial, planning and administration teams of manufacturing and trading companies.
Where does AI help your work?
The biggest gains are usually in repetitive, text-heavy work that takes hours today, such as:
- Summarising and analysing reports and meetings
- Writing letters, sales proposals and commercial correspondence, in English and Persian
- Help with Excel formulas, data analysis and building reports
- Quick search and answers from company procedures and documents
Adoption steps
- Reviewing each team’s work and choosing the tasks where AI truly frees up time.
- Choosing and setting up the right tools with your data security in mind.
- Hands-on training on your staff’s real tasks, not generic examples.
- Usage rules: which data may be given to AI and how its output is checked.
- Follow-up after training and measuring the time saved.
AI alongside data
Because my core work is data analysis, the training also covers using AI with numbers: from writing formulas and queries to interpreting charts and preparing management reports.
What you receive
- A list of tasks each team can hand to AI
- Setup of the chosen tools
- Hands-on training workshops for managers and staff
- A safe-use AI policy for the company
- Ready-made prompts for frequent tasks
Frequently asked questions
Our staff are not technical. Can they learn this?
Yes. The training is designed for everyday users and practised on their own daily work, with no programming needed.
Is our confidential data at risk?
Setting that boundary is part of the work: we define which information must not go into public tools and use safer settings and tools for sensitive work.
Is the training in person or online?
Either. For companies outside Iran, training is held online in English or Persian.
How do we know AI has made a difference?
Before starting we time a few frequent tasks, then measure them again after training so the real effect is clear.
Topics
- AI adoption
- AI training for employees
- AI in manufacturing
- AI for business
- Productivity with AI
- ChatGPT for teams