Department-specific sessions
Guided working sessions built around each department’s responsibilities, questions, and everyday work.
AI training for employees.
With confidence, not guesswork.
Mana trains your employees to use ChatGPT or Claude. 30 days, 3 departments, 9 hours of hands-on training and Q&A.
Ready For TrainingHow your team learns.
What they take away.
Department-specific working sessions, time to practice, and Q&A support help your team build confidence step by step.
AI terms, made clear
An AI glossary and plain-language explanations of the basic terms, what they mean, and how the tools work.
How to talk to AI
Learn to explain a task, provide useful context, ask follow-up questions, and refine an answer.
Prompts you can reuse
Take away practical prompts and learn how to adapt them for different tasks and audiences.
Using and creating skills
Practice using starter skills, changing their instructions, and creating reusable skills for your role.
Time to put it into practice
Use your tools between sessions so you can discover what helps and where you need more guidance.
Q&A working sessions
Bring real questions and examples back to Mana. Work through them together with a guide who knows your setup.
Checking your results
Learn to spot missing context, verify important details, and decide what needs a person’s judgment.
Resources and progress
Keep recordings, guides, and templates. Learn to track useful signals such as time spent, output quality, and confidence.
AI training for executives,
connected to the team
Owners and managers need a shared understanding of suitable tasks, review standards, and realistic expectations. Each department’s Q&A session helps connect the team’s practice to business priorities.
What happens after the training sessions?
The agreed training scope includes guided sessions, recorded references, and a post-training Q&A period. We show your team how reusable instructions and supported skills can make recurring tasks more consistent, with human review still part of the process.
Reusable AI skills
A skill is a saved set of instructions for a task you do often. It gives AI a repeatable starting point, so you don’t have to explain the process every time.
Your department receives selected starter skills. In training, you’ll practice using them, adapting their instructions, and creating skills for your own work.
Who runs your Bootcamp?
All sessions run remotely. Based in Austin? We can meet in person, and teams elsewhere can add in-person training for a travel fee.
Taylor Grassmick, CEO
Leads AI implementation, from the product build to team training.
Cheyanne Powell, COO
Leads onboarding, account management and delivery.
FAQ
How much does AI training for employees cost?
Team training is part of the Mana AI Bootcamp, which is $10,000 flat for up to three departments. That price also covers the company foundation and team workspace setup. See pricing for everything included. Your company buys its own AI software licenses. To compare options, read what AI training for employees costs.
How long does the training take?
The Bootcamp runs over 30 days. Week 1 maps each department’s work, week 2 sets up workspaces and runs training, week 3 is practice, and week 4 closes with Q&A and handoff.
How much of our team’s time does the Bootcamp take?
Each department joins three one-hour sessions over the 30 days, 3 hours per department, or 9 hours in total for three departments. Before we start, someone gathers the documents and details we need. If your information is already organized, that can take as little as an hour. If it lives in different places across the team, plan for more. Beyond that, your team practices with the tools during their normal work.
What happens after we book a call?
You meet the Mana team for a 30-minute discovery call about your team’s work and where AI could help. If the Bootcamp is a fit, Mana sends a proposal with the scope, price and payment terms before you commit.
Is this for beginners?
Yes. We begin with the team’s actual experience and build from there. The goal is useful everyday practice, not technical model development.
Will everyone learn the same tasks?
The team shares a common foundation, while practice examples are chosen for the roles and departments in your agreed scope.
Can reusable skills eliminate mistakes?
No. Reusable instructions can make expectations more consistent, but people still need to check facts, sensitive information, and the suitability of each result.
Last updated October 28, 2026.