Zdopt runs AI programmes for organisations and colleges. Every session ends with something the participant can reproduce at their own desk on Monday morning, on the licence they already have.
One for organisations, one for colleges. Each one leads with what we would start you on.
ServiceNow teams: the replay pilot
We rebuild 10 to 15 stories you’ve already delivered, on the AI you already license, and compare against your real hours.
A free 60-minute live AI build for your students
One real problem from your department, built live, start to finish. Free, in person or online anywhere in India.
All three are decided before anyone opens the tool. Here is what we do about each.
No one owns it
Nobody senior owns the rollout, so it stalls at the next budget review.
Our fixLeadership runs first, so a named sponsor owns the plan.
Wrong licence
Half of what gets taught needs a paid plan. On free accounts the session becomes a demo.
Our fixWe confirm licences during scoping, before any date is booked.
No measurement
Nobody agrees what success looks like, so nothing gets checked afterwards.
Our fixWe set a baseline up front and check usage at day thirty.
Recruiters ask what students built
Not whether they have heard of AI, but what they have shipped with it.
Our fixThe L3 final build doubles as the student’s project submission.
Faculty are asked to teach it anyway
Most campus AI training demos the tools, and nothing lasts past that week.
Our fixL1 trains faculty first, inside their own subject.
Nobody checks day thirty
A feedback form says the session happened, not that anyone kept using it.
Our fixWe check usage at day thirty and report it back.
Every session ends with something the participant can reproduce at their own desk on Monday morning, on the licence they already have.
Your workflows, not case studies
The live build in every track uses one of your real workflows, not a worked example from a deck.
Built by people who ship
Delivered by practitioners who work on these platforms in production, not by trainers working from a content library.
Measured on use, not satisfaction
We baseline before, then check usage at day thirty. The target is sixty percent still using it.
Delivered by the founders
The people who scope the engagement are the people who run the room. No handover to a junior trainer between the proposal and delivery.
Still using it thirty days later, measured against a baseline agreed before the room opened. That is the number the engagement is judged on.
We agree what success looks like up front, then check it thirty days later.
Each programme ends with something the room keeps. Pick an audience and step through.
Sponsors leave able to decide a licence tier against actual seat maths, name the first three functions to roll out, approve a data-sharing policy, and sign off on how adoption will be measured.
A one-page adoption plan they own, not one we wrote for them.
No handover to a junior trainer between the proposal and the classroom.
Sam David
ServiceNow and Claude expert. Owned a three million dollar delivery portfolio as a specialisation head. Leads the Claude track and the agentic build curriculum.
LinkedIn
Anish
Registered Notion partner and award-winning Microsoft Copilot expert. Leads the Microsoft track and enterprise workflow tooling.
LinkedInZdopt has applied to the Claude Community Ambassadors programme.
Thirty minutes. We will tell you which programme fits, and which one does not.