Who this is for
Business leaders, managers and employees who want to use generative AI for research, drafting, analysis, planning and everyday productivity.
Teams learn AI best when they practise on realistic tasks. A useful programme combines tool orientation, prompt design, output evaluation, workflow examples and clear rules for sensitive information.
Clear scope. Useful outcomes. Practical decisions.
Business leaders, managers and employees who want to use generative AI for research, drafting, analysis, planning and everyday productivity.
Audience and skill assessment; practical tool demonstrations; prompt engineering exercises; role-based use cases; output verification; data security and responsible-use guidance; post-session action points.
We align the session with participant roles and approved tools, demonstrate realistic tasks, run guided exercises and discuss risks such as inaccurate output and sensitive data exposure. Duration, language, group size and delivery mode are agreed before the programme.
We align the session with participant roles and approved tools, demonstrate realistic tasks, run guided exercises and discuss risks such as inaccurate output and sensitive data exposure. Duration, language, group size and delivery mode are agreed before the programme.
Clarify the audience, current setup, business objective and constraints that shape the right solution.
Agree priorities, deliverables, responsibilities, dependencies and what is outside the engagement.
Review the work against agreed requirements, check important user journeys and identify the next improvement.
Effective AI training combines tool practice with safe-use judgement: what data not to share, how to verify outputs and where human accountability remains essential.
Explore related capabilities where they support the same business goal.
See how this capability can support the same customer journey and business objective.
Explore the connected work that may be needed before or after this service.
Consider this option when your requirement extends beyond the immediate project scope.
Clear answers to help you decide what to do next.
No. Sessions can start with non-technical fundamentals and progress to role-specific exercises.
Yes. Examples can be adapted to functions and industry workflows, using non-sensitive sample information.
A session builds awareness and practical starting skills. Adoption improves through practice, approved tools, management support and ongoing learning.
We connect technology decisions with business context, people and the work that needs to get done.
NetFrendz has been operating since 2009.
Recommendations start with your context, goals and constraints.
Digital services, AI, cyber awareness and training can be considered together.
We aim to make technology understandable and useful for the people who work with it.
Share your requirement. We'll start with your goals and explore a practical way forward.