Training your team will use on Monday.
Not a webinar about the future of AI. Hands-on sessions built around the jobs your people already do every week, in plain English, on the tools you already pay for. No code, and no new system to learn.
Why most AI training doesn't stick.
Generic training shows impressive demos, then everyone goes back to their inbox and changes nothing. People adopt AI when it removes a task they personally hate. So the curriculum starts from each team's actual week, and every session ends with a real task handed off.
What you actually get.
Scoped from your audit map, so you only pay for the parts you need.
- Owner and leadership session: what AI should and should not do here
- Department intro sessions for groups of 10 to 15
- Hands-on lab: each person hands one real weekly task to AI
- Second-level sessions for the people who want to go further
- One-on-one onboarding for anyone who needs it
- One-page job aids per role
- The 'don't paste that' safe-use guide
- Office hours for 30 days and a short adoption report
What the work looks like on paper.
Every engagement produces documents you keep. These are example layouts with sample data; yours are built from your audit.
Sample curriculum
Five sessions, each tied to an outcome a manager can see the following week.
Sample exercise
Messy meeting notes to five next actions, with owners and dates. Ten minutes.
Job aid card
One page per role: three prompts that save time, three things to never paste.
Adoption report
Who is using AI, for which tasks, and the hours it is giving back.
The process, start to finish.
Listen
Short interviews per team: what they do every week, what they dread, what tools they use.
Build
A curriculum around those tasks, with exercises using your real documents, scrubbed of private data.
Run
Sessions in person in Brooklyn and NYC, or remote. Every session ends with a task handed off.
Follow up
Office hours, job aids and an adoption report: who is using it, for what, and hours back.
Is this you?
- Teams that got AI tools and kept working the old way
- Owners who want staff using AI safely, not secretly
- Offices where a few people are power users and everyone else is lost
- Organizations piloting enterprise AI without repeatable practices
What it looks like when it works.
A bakery
Cash-flow optimization
A social media agency
Customer-service assistant
A kindergarten
Childcare operations automation
An AI startup
AI generation features in the product
Earlier client engagements, 20+ projects to date. Names withheld; figures are the time and resource savings reported for each project. Your audit sets your own baseline.
Straight answers.
Our team isn't technical. Is that a problem?
No. Most of the people I train are not technical. Everything is in plain English, built around the work they already do. No code, no new system.
Which tools do you teach?
The ones you already pay for, usually ChatGPT, Claude, Microsoft Copilot or Gemini in Google Workspace. If you have not chosen one, implementation comes first.
Can you train just one person, like the owner?
Yes. One-on-one sessions are often the fastest way for an owner to see what AI can take off their plate before rolling it out.
In person or remote?
Both. In person across Brooklyn and New York City, and remote anywhere in the US.
What does it cost?
It depends on headcount and how many sessions you need. I don't quote on the audit call. You get scope and a fixed number with your map, within 48 hours. The number I quote is the number you pay.
Got the tools but not the habits? Start with the free audit.
One hour on your operation. A one-page map in 48 hours. Yours to keep.