AI Setup & Training
ChatGPT, Claude, and Copilot set up on your accounts, wired to your work, and taught to your team.
Your enablement core
Your enablement core
2 options
Packages
Pick one to start. We can resize or combine later if the work calls for it.
AI Setup & Configuration
Teams ready to implement AI tools with expert setup
1-2 weeks
- AI tool selection and setup
- Integration with current stack
- Prompt engineering and workflow configuration
- Documentation and walkthrough
AI Training & Enablement
Organizations that want team confidence and repeatable adoption
2-3 weeks
- Custom training curriculum
- Live workshops
- Hands-on exercises
- Prompt library and references
- 30-day follow-up support
What this solves
- 01AI subscriptions with no owner and no policy
- 02Output quality that swings from person to person
- 03Sensitive data pasted into the wrong tools
Three layers, one enabled team.
Anatomy
Three layers, one enabled team.
AI tools only pay off when the accounts, the wiring, and the people are set up as one system.
- Accounts
- ChatGPT, Claude, and Copilot on the right plans with the right access. The foundation: seats, security, and data settings done properly on day one.
- Wiring
- Connectors into your files and tools, shared projects, and prompt libraries shaped to your actual work. Where a generic chatbot becomes your assistant.
- Practice
- Hands-on training, written playbooks, a plain-language AI policy, and follow-up sessions. The habits that make the setup stick after we leave.
What you get
How the engagement runs
Click any phase to see what ships
Proof
- Training frameworks that reduce AI misuse
- Team rollouts across ChatGPT, Claude, and Gemini workspaces
What the work looks like
3 artifacts
Common questions
Which tools do you set up?
ChatGPT, Claude, Gemini, and Microsoft Copilot are the common set. We work across all of them, benchmark them on your actual tasks, and recommend the smallest stack that covers your work.
We already pay for ChatGPT. Why does setup matter?
A default workspace is a blank box. Setup means custom instructions, projects, connectors to your files, permissions, and a prompt library for your workflows. That gap is why most seats go unused.
What does the training cover?
Live sessions on your accounts with your workflows, from drafting and research to data handling rules. Your team practices the tasks they run every week and leaves with the prompts to repeat them.
How do you handle sensitive data?
Part of setup is deciding what never leaves your systems. We configure workspace data controls, write the one-page policy, and teach the team what belongs in a model and what does not.
Is this only for teams new to AI?
It works both ways. New teams get a clean start. Teams already deep in AI get consolidation, better defaults, and prompts that stop living in one person's head.
Ready to scope ai setup & training?
Thirty-minute working call. You leave with a direction, fit or not.