AI Training & Content Workflows
AI training and content workflows that make your team confident with AI
Your team likely has access to ChatGPT, Claude, Copilot and/or HubSpot AI. What they need is confidence: how to use these tools well, safely and in your brand voice. We run practical AI training, write a usable AI policy and build content workflows your team can follow every day.
Learn moreThe problem
- Some staff use AI heavily, others not at all
- No policy on what data can go into AI tools
- AI content that sounds generic or off brand
- No review process for AI-assisted work
What good AI adoption looks like
- Everyone knows what AI is good and bad at
- Clear rules on data, privacy and review
- Shared prompts that produce on-brand work
- Workflows that save time without cutting quality
What’s included
Hands-on team workshops
Using your real tasks, not generic demos
AI policy and usage guidelines
Practical and plain English
Brand-voice prompt library
For content, email, social and sales
Content workflows
Drafting, review and approval steps
Tool setup
ChatGPT, Claude, Copilot or HubSpot AI
Coach and Review
Monthly review of your team’s AI-assisted work
Work: VMCH
Full training provided for their marketing department leads for AI usage on content creation.
Frequently asked questions
About AI Training & Content Workflows
What does AI training for business teams cover?
Practical use of AI tools for your team’s actual work: writing, research, summarising, planning and analysis, plus what data can be used, how to review output and how to keep work on brand.
Do you write an AI policy for us?
Yes. We write a clear, practical AI policy covering approved tools, data and privacy rules, review requirements and responsibilities, aligned with Australian guidance.
Which AI tools do you train on?
We train on the tools your team uses or should use, commonly ChatGPT, Claude, Microsoft Copilot and HubSpot’s AI features.
What is Coach and Review?
An ongoing arrangement where your team creates the work with AI and we review it monthly, giving feedback and improving prompts and workflows.
