Workshop topics
Sessions that sharpen prompts, drafts, research, meeting follow-up, and quality reviews.
View MSAI workshopsAI Training and Workshops
Train teams to use AI well.
Workshops practice the daily work — drafts, research, meeting follow-up, quality checks — and build prompting, verification, privacy, and when-to-involve-a-person habits.
- Sessions for leaders, departments, and full teams
- Examples from drafts, research, meeting follow-up, and quality checks
- Use cases captured for coaching or workflow follow-up
Options after the workshop
Adoption support
Coaching, prompt libraries, and reviews that turn training into daily habits.
View MSAI servicesWorkflow review
When one workflow stands out, we help decide whether it is worth building.
Review a workflowTraining snapshot
What should your team do better?
Training works when it starts with the work, tools, and risks your team already has.
Best for
Teams with AI access who need safer, sharper daily use.
What we plan
Audience, tools, real tasks (drafts, research, meetings), risks, and the habit that should change.
What you get
A workshop plan with prompts, verification steps, privacy rules, and follow-up options.
For teams ready to practice.
Good fit
- Your team needs shared AI language and useful examples.
- Leaders want safer prompts, sharper reviews, and stronger judgment.
- Training has to connect to daily work, not a generic demo.
Usually not a fit
- The need is a motivational keynote with no hands-on practice.
- Your team is still waiting on approved AI tools.
- One session is expected to replace policy, leadership alignment, or workflow change.
Training paths
What the team leaves with
Pick the session by the daily task — drafting, research, meeting follow-up, or quality checks — and the habit that should change.
Leadership
Leaders
Set direction, risk boundaries, and shared language for AI use.
- Shared leadership language
- Opportunity and risk framing
- Decision-ready examples
Teams
Teams
Practice on real tasks: drafts, research, meeting follow-up, and quality checks.
- Prompt patterns for each task
- Verification on AI output
- Role-specific examples
Guardrails
Safe use
Make privacy, verification, and "involve a person" decisions a habit, not a memo.
- What data not to paste in
- Verification before sending
- When to pull a person back in
Adoption
Use cases
Capture the use cases worth coaching, testing, or building next.
- Use-case capture
- Follow-up coaching
- Workflow or build handoff
How training starts
How we shape training
We pick the audience, outcome, session, and follow-up before the workshop.
- 1
Name the audience
Name the audience, tools, and reason AI is on the table.
- 2
Pick the outcome
Choose the one skill or habit the team should leave with.
- 3
Shape the session
Set the format, examples, exercises, prep, and internal context.
- 4
Plan follow-up
Decide whether training leads to coaching, adoption support, or a workflow review.
Tell us who needs training and what should improve. We'll suggest the right format.
Request a WorkshopPlan training that fits the work.
Tell us who needs training and what should improve. We'll recommend the right format.