Your business has decided to train employees in AI. Marketing wants help with campaign drafts, finance wants better reporting, and operations wants less time spent answering the same questions. Putting everyone in one session may be convenient, but they will need different practice when they return to work.

An in-house AI training programme starts with those differences. Agree a common foundation, then give each team a task, a reviewer and time to apply what they learn.

For Singapore employers, the planning brief is also a practical way to compare providers. It explains what your employees need to do, which information they may use and what progress should look like.

I. Choose a workflow before choosing the tool

Ask each department to bring one recurring task that involves reading, organising or drafting information. Look for work with clear inputs and an output someone can check.

“Use AI in sales” is too broad. “Prepare a proposal draft using the current quotation and approved product information” gives the trainer something concrete to design around.

If you have several candidates, use our first AI automation pilot checklist. Start with a task that has an owner and manageable consequences if a draft is wrong.

II. Group employees around the work they need to practise

Employees can share foundational learning about clear instructions, checking answers and handling information. Their practice should reflect the work they are responsible for.

For an illustrative proposal-writing exercise, involve a salesperson who prepares the brief, a colleague who owns the product information and the manager who approves commitments. They can test the whole process together.

Agree the cohort with the provider based on participants' experience, the exercises and the amount of feedback needed. Confirm how colleagues with different starting skills will be supported.

III. Prepare the tools and sample information

Before the first session, identify the tools employees are authorised to use and who can provide access. Check whether the exercises depend on a paid feature or an account that some participants do not have.

Ask each team to prepare a small set of approved examples. Synthetic examples are useful when permission to use business information is unresolved. A trainer should not need unrestricted access to your systems to explain a workflow.

Keep a short preparation list:

  • The task and an example of an acceptable finished output.
  • Approved source material, with an owner and current version.
  • Tools, accounts and access needed for practice.
  • Information that must stay outside the exercise.
  • A person who can answer process questions and check the result.

Our sales proposal workflow shows how an approved source pack and review checklist work together.

IV. Reserve time for practice and feedback

Plan guided learning alongside normal work commitments. Employees need a chance to repeat the task, discover where the instructions fail and bring questions back.

After an exercise, ask participants to save the input, their draft, the corrections and the approved version. That record makes feedback specific: was the source incomplete, did the instruction miss something, or did the output introduce an unsupported claim?

Agree dates, delivery arrangements and attendance requirements with the provider. A programme tailored to your employees does not automatically mean every session takes place at your office.

V. Measure a complete task before and after training

Record a baseline before introducing the new approach. Include preparation, drafting, review and correction time, along with the errors that matter to the team.

After practice, compare similar examples. Ask whether employees can complete the work independently and whether the manager can check it without repeating the task from scratch.

For meeting documentation, this might mean checking omitted actions, incorrect owners and time through approval. For marketing, it could mean revision rounds and accuracy against the campaign brief. Our AI training ROI guide helps turn these observations into a fair business assessment.

VI. Name the person who will maintain the workflow

Someone needs to update the reference material, improve the instructions and decide when an exception requires human judgement. Assign that responsibility before expanding the approach to another team.

At the review meeting, decide whether to continue, adjust or pause the workflow. Keep the successful examples and the review rules together so a new colleague can follow them.

VII. Bring a clear brief to the provider conversation

A useful brief fits on one page: the task, participants, approved inputs, tools, reviewer, time available and measures of success. Use it with our corporate AI training provider checklist to compare proposals on the same basis.

AI Workforce's corporate AI training for Singapore teams connects guided learning with workplace practice across a 60-day programme. Start with the work you want employees to improve, then agree the programme and any optional implementation consultation around that scope.