A defined audience
Agree who is attending and what they already know. Leaders choosing where AI belongs need a different session from people learning to use it in a daily workflow. The brief identifies that difference before the agenda is set.
The AI practice · Training
Help your people use AI in the work they already do.
For teams that need practical skills, shared ways of working and a clear next step after the session.
The scope
Training connects an AI tool to a task the participant needs to complete.
The scope starts with the audience, their existing access and the work they want to practise. It should give people a way to try the task, review the result and know when to ask for help.
Agree who is attending and what they already know. Leaders choosing where AI belongs need a different session from people learning to use it in a daily workflow. The brief identifies that difference before the agenda is set.
Choose examples that relate to the team’s responsibilities. A marketing team might practise preparing a brief or reviewing a draft. Another function may need to work through its own information and decisions. The agreed examples determine the exercises.
People need to examine the output as well as write a prompt. Training makes room to compare the result with the intended task, identify missing context and decide which parts require human judgement.
Agree what participants should try after the session and who can answer questions. If the organisation needs ongoing adoption support, connect the training to the Program rather than expecting the session alone to change working habits.
How it starts
Use these four steps to turn the business question into a scope your team can review.
Name the roles, their starting point and the decision the training should support.
Agree the everyday work and examples participants can use in the session.
Work through the task, examine the output and discuss the points where judgement matters.
Set the next task to try at work and decide whether the team needs additional support.
The record
Joshua Pielago ran the AI Everyday program across five APAC markets at Uber in 2025–26.
The program trained approximately 4,000 employees, produced more than 300 bots and built an internal AI Academy from zero. At LOKAL, approximately 1,500 people were trained in the last two years. These are separate records with their own scope.
Read the scoped record ↗What to bring
Bring what is available. The consultation identifies what else is needed before the scope is agreed.
Connected work
The stages connect, but your team does not need to begin every piece of work at once.
Read the Australian training page for local context and the next step.
Read the Philippine training page and the options for your team.
Start with planning when the organisation has not decided where AI should be used.
Connect the session to adoption across a team with a lead and a review rhythm.
Common questions
These questions help establish the people, responsibilities and starting point for the work.
Tell us which tools participants can access. The training brief starts with the team’s existing environment and the tasks they need to practise. Any additional access is discussed before the agenda is agreed.
The audience is part of the scope. A leader making adoption decisions needs different work from a participant learning a recurring task. We agree the audience and the intended outcome before choosing exercises.
Agree one next task participants can try and who will support them. If adoption needs continued coordination, the Program provides a way to connect training, practice and review.
Send the form with a short description of your team and the work. We reply within one business day to arrange a 30-minute consultation. That conversation establishes the context and the next step for an agreed scope; it does not commit your team to a program.
Your next step
Describe the work, the people involved and the decision you need to make. We reply within one business day to arrange the 30-minute consultation.