AI training for marketing teams
Learn to direct, review and improve AI work in your own workflow
Training for marketers, editors and operations owners who need to use AI in real work. Sessions are built around agreed tasks in Supasaito or the tools your team uses, with attention to source quality, permissions and human judgment.
We agree scope and fees before work begins.
What we deliver
A defined scope, ready for handover
Role-based curriculum
Agree participant experience, target tasks and learning outcomes. Use sanitized examples of your actual work.
Guided practice
Practice briefing, source selection, output evaluation and exception handling. Review both successful and misleading outputs.
Reusable working guidance
Provide exercise materials, review checklists and a team adoption plan. Follow-up sessions are agreed separately.
How we work
Agree, implement, verify
Define the scope
Review the current setup and agree deliverables, responsibilities, access and acceptance criteria before implementation.
Build and review
Work through representative examples, share progress and resolve issues against the agreed criteria.
Launch and hand over
Complete the agreed checks, document known limitations and hand over ownership, instructions and any separately agreed support.
Scope & responsibilities
The number of sessions, participants, languages and tools determine the scope. Training does not include building production integrations or unlimited support; those have separate service scopes.
What to share for an estimate
Share participant roles, current AI experience, two or three target tasks and any company rules on data and AI use.
Discuss this projectQuestions before you start
Plan the work with clear expectations
Can the training use our existing tools?
Yes, subject to account access and the agreed curriculum. Supasaito, AI assistants, n8n and Make can be considered based on participant needs.
How do we know the training worked?
Agree a practical task and review criteria before the session, then assess participants’ ability to produce and check the output.