Deployer
AI Consultant / Forward Deployed
Sit with the customer. Find the workflow. Install AI where it pays back.
2–3 weeks of evenings · 16 lessons · 5 labs · 1 memo project
0/15 lessons on this path
US
Premium / 8+ yrs typical
Canada
CA$100K+
India
IT services + GCC premium
What this path is (and is not)
Enough to sit with a customer and name the first use case with a gate. Mastery is ten installations, not a slide deck.
Mastery syllabus
1 · Pick the door
The first use case is a painful weekly task, not a company rewrite.
2 · Risk and change
Green, yellow, red. Humans still decide mail, money, legal.
3 · Voice in the room
A before/after memo you can read aloud.
4 · Named humans and the card
A champion, a backup, four weeks of hours.
5 · Integrity while you install
No secret data in a public model. A habit that survives you.
Simulation labs
First workflow
Score pain vs risk. Pick one.
Open the labHours saved
Managers fund the before/after card.
Open the labRole map
You are a deployer, not a hidden engineer.
Open the labSit with the pain
Circle one Tuesday task.
Open the labScope the install
90-day success in writing.
Open the lab
The project that hires
Before/after memo for one real workflow
- Name the weekly pain in one sentence.
- Draw the steps. Circle the human gate.
- Run four weeks. Put hours-before and hours-after on one card.
Interview room
- Map a 12-step process. Which four steps can an AI draft, and where is the human gate?
- A client wants ChatGPT on all data next week. What do you actually install?
- How do you measure payback in four weeks without a data-science team?
- Name two humans before you name a model. Why?
Resume lines that hire
- Mapped a 12-step process and automated 4 steps with a human approval gate.