AI training for companies: plan a program around your team

At Syntalith, we prepare private AI training for company teams. We shape the program around participants' work, experience, and company-approved tools. For an organization training several departments, we can propose shared foundations followed by workshops for roles with different responsibilities. Session language, scheduling, and support are agreed before booking.

Choose the work the program will address

Start with tasks that take up the team's time. These might include responding to customer inquiries, comparing supplier proposals, or preparing a management report. For each use case, we need to understand how employees work today, which materials they use, and who reviews the result. That helps distinguish a suitable training task from a problem requiring a process change or a connection between systems.

Departments can have different training programs. Sales and operations may use the same tool but need different practice.

Before arranging a larger program, you can start with one department or a group representing several teams. After the first group completes its sessions, we can discuss which exercises were useful and what to adjust for the next group.

What we teach in company AI training

Participants need to complete their own tasks and produce work they can actually use. A proposed program can cover the following areas:

• Choosing use cases and tools. Recognizing where AI may help and where a form, search tool, or ordinary automation would be more suitable. We discuss the capabilities of the tools participants can access and the limitations that matter in their work.
• Giving the model a task. Explaining the goal, providing relevant context and materials, specifying the response format, and revising instructions after an unsuccessful attempt. Employees learn to recognize why an answer is generic or misses an important part of the request.
• Working with documents and information. Comparing material, finding differences, and preparing summaries or draft responses. Practice includes checking conclusions against sources, including documents in different languages.
• Assessing answers and handling company data. Identifying unsupported claims, omissions, and errors. Participants follow company data rules and learn when they need clarification from the person responsible for a subject.
• Repeating the work across a team. Making a useful approach understandable enough for colleagues to use and improve. We also discuss when manual chat use reaches its limits and an integration, agent, or company knowledge base deserves consideration.

We select the scope for each workshop. The proposal sets out sessions, difficulty, and materials. An introductory course for first-time users will differ from work with a department that already uses models and wants to improve a particular application.

ChatGPT Work, Claude Cowork or coding tools?

The program should relate to the tools your company actually uses. ChatGPT Work can perform multi-step tasks using available files and apps. Claude Cowork is designed for work including research, analysis and document creation. A workshop can help employees practice assigning a task, selecting relevant material and reviewing the finished work. Available capabilities depend on the environment and company settings.

Developers need a different kind of practice. Codex helps explain code, make changes and investigate bugs; Anthropic describes Claude Code as a tool for software engineering. Our AI-Native course works with coding agents in the team's repository, from describing a change to testing and reviewing the code. We scope that work separately from document-focused workshops.

Match the practice to the department

Here is how exercises can differ between departments:

During the workshop, participants repeat the task with new material. For a sales proposal, that means a different customer inquiry. This attempt shows whether they can prepare instructions, check the answer, and correct errors without step-by-step help.

Shared foundations and workshops for individual teams

A larger program can combine an introductory session with role-specific workshops. In the shared part, employees learn how to work with a model and follow company rules. Later, sales can work on proposals while operations uses its own documents. Each group needs time to perform a task independently and discuss what went wrong.

Experience also matters when forming groups. Someone using AI for the first time needs to work through a complete task at a manageable pace. An experienced user can begin with more difficult material and recurring errors. Whatever their own AI experience, managers need to assess which applications deserve further work and how to support employees after training.

Exercises should be repeatable using the accounts and environment staff will use afterward. We therefore establish which tools and materials are available before the sessions. If real documents cannot be used, preparation can include fictional examples. The language and schedule are selected for the participants.

What the instructor contributes

Look for training in which the instructor works with participants' attempts. When a response is weak, they help determine whether the cause is an unclear instruction, missing information, a tool limitation, or the choice of task itself. They explain what can be improved and why, and the participant tries the change in their own work.

At Syntalith, preparation covers selecting tasks for the program and discussing the rules for using company material. Before booking, we can present proposed exercises and explain how participants' work will be assessed.

Check whether employees use what they learned

After training, return to the selected task in ordinary work. A manager can compare the time needed to prepare and review the result, the corrections required, and whether the employee still needs help at every step. The speed of generating text alone does not show how much work remains before it can be used.

CIPD's analysis of managers' role in skills development emphasizes opportunities to practice at work and support from managers after formal learning. A company program therefore needs room to apply the skills and someone who will discuss the results with the team. A later review after a period of practice can be agreed as part of the engagement.

Plan training for your company

To start with your team's skills, talk to us about a company training program. Describe the departments, their current tools, and the work you want to improve. That gives us a basis for discussing scope, groups, and session format. See the pricing page.