Training For Teams & Departments
Practical, task-focused AI upskilling for teams that need real change in how work gets done.
Since 2023, Koshima has helped teams inside organisations improve how AI is used in day-to-day operations. The focus has always been the same. Change how work is completed, not just what people know.
This is not training in the traditional sense. It is upskilling. That means deliberately changing how teams approach their real tasks using AI, so improvements hold after the sessions end and people return to work.
How Our Team Upskilling Approach Works
Our approach is deliberately designed to change how teams work, not just what individuals learn. We focus at the task level. If learning does not connect directly to the work teams are accountable for delivering, improvement will not hold.
We start by identifying the real tasks teams are responsible for. This is done through structured pre-engagement and validation, not assumption.
Those tasks are then rebuilt as AI-supported workflows. Teams learn how to complete their work using AI, rather than learning tools and being left to translate that learning back into operations.
Team Training Options
Training Courses
Focused, task-tailored sessions designed to create fast improvement in how defined activities are performed with Microsoft Copilot, OpenAI ChatGPT and Google AI.
Training Programmes
Longer-term engagements designed to reshape behaviour, reinforce learning over time, and embed new ways of working across a function or department.
AI productivity tools create value at the task level, where people learn by doing real work.
We identify common tasks and activities across the same role, prioritise them by impact, and rebuild them as guided AI workflows. Learners complete real work while learning, not separate exercises removed from context.
Following a step-by-step workflow alone is not enough to work well with AI Productivity Tools.
We teach the thinking required to use AI productivity tools effectively, so workflows are understood, not memorised. This allows approaches to transfer to new tasks, stay consistent, and work across different AI tools.
Confidence with AI is built through practice and experience, not explanation alone.
Teams apply approaches on real tasks across different scenarios, building familiarity through repetition. Learning happens in the room and carries directly into daily work without delay or translation effort.
Choosing the Right Starting Point
Every team is different. Some need fast, focused improvement in a small number of tasks. Others need deeper change across multiple workflows and roles. The right starting point depends on goals, context, and readiness for change.
We help you decide whether a course or programme is the most effective place to begin.
What Teams Leave With
This upskilling approach creates shared ways of working with AI that go beyond the tasks covered.
Teams develop common judgement, clearer standards, and confidence in how AI is applied across day-to-day work. Outputs become more consistent, decisions more reliable, and effort better focused.
Where to go next
If you want to create real change in how your team works with AI, choose the format that fits your goals. You can explore our popular courses or consider our programmes.
Explore team coursesSeen enough and want to start a conversation? Leave some details and we will talk through what you are looking to achieve.
