AI EDUCATION / DWG. JD-EDU-001

We train your team to actually run AI.

Tools are easy to buy and hard to adopt. We upskill your founders and your people, hands-on, until AI is a habit they reach for every day - briefing it, trusting it, and building with it. This is people enablement, not an agent army. Built for you, not by you.

Hands-on, in your tools Founders and teams Adoption, not just demos
DrawingJD-EDU-001
RevisionA
ApproachPeople enablement
FormatWorkshops + labs + office hours
OutcomeA team that runs AI
SHEET 01

Your people, leveling up alongside AI

THE SKILL-UP LADDER / NOT AN ORG CHART
Curriculum Path - From Curious to Confident SHEET 01 / FOUR RUNGS / YOUR TEAM CLIMBS, AI RIDES ALONG
LEVELING UP
person = your teammate gold = their AI co-pilot climbing token = a teammate leveling up No boxes report to anyone here. People grow, AI rides along.
People first

This is the only diagram on this page on purpose. AI Education is about your people, so we draw a climbing path, not an agent org chart. The four rungs are how a real teammate moves from curious to confident - and at every rung an AI co-pilot is right beside them, never replacing them.

SHEET 02

What we teach

FOUR CORE MODULES

Prompt foundations

The mental model that makes every tool work: how to brief AI clearly so it does the job you meant.

  • Briefing, context and constraints
  • Iterating instead of accepting the first draft
  • When to trust an answer and when to check it

Tool-specific playbooks

The exact AI tools your team already touches, taught for the jobs they actually do - sales, content, support, ops.

  • Recipes mapped to real daily tasks
  • Working in the tools your team uses
  • Shortcuts that save the most hours first

Building simple automations

Going from chatting with AI to wiring it into a workflow - the first small automations a non-coder can own.

  • Spotting a task worth automating
  • Connecting tools without writing code
  • Owning and tweaking it after we leave

Governance and safe use

The guardrails that let people use AI with confidence - what is safe to share, where to be careful, who signs off.

  • Data, privacy and what not to paste in
  • Checking facts and avoiding blind trust
  • Simple, written house rules for the team
SHEET 03

How we deliver it

FOUR FORMATS, MIXED TO FIT

Workshops

Live sessions for the whole team - the shared language and mindset, taught with your real examples on the table.

Hands-on labs

Small-group practice where people do the work, not watch a slide - building, prompting and fixing on their own tasks.

Office hours

A standing slot to bring real, stuck problems - so adoption sticks past the workshop and into everyday work.

Playbook library

A living set of written recipes, prompts and house rules your team keeps - so good practice outlasts any one session.

SHEET 04

Who it is for

FOUNDERS AND TEAMS
AUDIENCE A

Founders and leaders

You set the direction on AI for the whole business. We get you fluent enough to lead it, scope it, and know what good looks like.

  • A clear view of where AI pays back first
  • Confidence to brief and judge AI work
  • The language to set guardrails for the team
  • A plan you can actually drive forward
AUDIENCE B

Teams who do the work

Your sales, content, support and ops people. We make AI a daily habit in their real tools, on their real tasks - not a one-off demo.

  • Hands-on skill in the tools they already use
  • Hours saved on the tasks they repeat most
  • The confidence to try, check and trust
  • A playbook they own and keep improving
SHEET 05

What changes after

OUTCOMES YOU CAN FEEL
Confident
Team Confidence

People reach for AI on their own, without waiting to be told - it stops feeling like a risk.

Adopted
Real Adoption

AI becomes a daily habit in the tools your team already lives in, not a tab they forget.

Hours
Time Saved

The repetitive tasks shrink, so your people spend their hours on the work that actually needs them.

Safe
Safe By Default

Clear house rules mean people use AI well and carefully - confident about what is and is not okay.

SHEET 06

Our approach

AUDIT - TEACH - EMBED
01 / AUDIT

Find the payback

We sit with how your team actually works and find where AI pays back fastest - then shape the training around those real tasks, not a generic syllabus.

02 / TEACH

Hands-on, in your tools

Workshops and labs where your people do the work on their own examples - prompt foundations, tool playbooks, simple automations and safe-use rules.

03 / EMBED

Make it stick

Office hours and a living playbook library keep the habit alive after we leave - so adoption holds and the team keeps leveling up on its own.

PRACTITIONERS, NOT LECTURERS / PROVEN IN PRODUCTION

We teach what we run

We do not teach AI from a textbook. The same team built and runs real systems in production - Monsoonfish as a signed one-year AI partnership, the AlgoVeda trading platform, and a paying WhatsApp AI agent for Excellence Farms. Your people learn from operators who ship.

The best way to learn to run AI is from people who run it every day - not a slide deck.

Live
systems we run in production today
1-yr
signed AI partnership (Monsoonfish)
Pune
based, hands-on, in the room

Pilot pricing

Start with a pilot cohort: a one-time setup to audit your team and build the curriculum, plus a simple monthly run for ongoing workshops, labs and office hours. You expand to more teams only once the first cohort is leveling up - so you pay for the enablement you actually use.

Setupaudit + curriculum build
Monthlyworkshops, labs, office hours
Scopeon a call, to your team
SHEET 07

Education questions

NOTES & QUERIES

No. A seminar wears off in a week. We run an audit first, then hands-on workshops and labs on your real tasks, then keep office hours and a living playbook going so the habit sticks. The goal is adoption that holds, not a fun afternoon.

Not at all. Everything is taught for non-coders - sales, content, support and ops people. The "building simple automations" module is deliberately no-code, so your team can own and tweak what they build after we leave.

Those build AI that does the work for you - an army of agents or a focused automation. AI Education is the opposite end: we upskill your people so they can run, brief and trust AI themselves. Many teams do both - learn the skills here, and let us build the heavier systems alongside.

Yes. We start from how your team already works and teach the AI tools that map to those real daily tasks, in the tools they already touch. The recipes and playbook are built around your business, not a generic curriculum.

It begins with a short audit of your team, then we deliver the first cohort. Pricing is a one-time setup plus a simple monthly run for ongoing sessions - we scope the exact numbers to your team on a call. Book a call and we will map the fastest payback for your people first.

DWG. JD-EDU-001 / READY TO TRAIN

Turn your team into people who run AI.

Book a call and we will map where AI pays back fastest for your people - then teach them to run it, hands-on. You stay in command.