We show up with a finished asset for your brand already in hand.
Not a motivational session. Corporate AI training where your team builds finished, usable output against your briefs, in your office, before we leave. Films, assistants, automations and internal tools included.
Teams that bought the tools and nothing changed.
Marketing, creative, operations and L&D teams at companies that have bought the licences and not seen the behaviour change. Leadership teams that want capability held inside the company: not rented from an agency, not resting in one enthusiastic employee's head.
Two tracks run from the first hour: a leadership session on delegating to AI, and a hands-on track for the wider team. The same engagement structure has run from the chairman's office to the newest joiner.
The finished asset is the curriculum.
That finished piece of work is both the proof and the syllabus. We teach the framework that made it, then your team builds the next one alongside us. Laptops open, real briefs, artifacts handed over, workflows written down.
By the end, the question is not "can AI do this?" It is "which brief do we run next?"
Before
Discovery call. We learn your brand and your five priorities before we teach anything.
Day 0
We arrive with proof: a finished, usable asset for your brand, made before we walk in.
On the day
Your team builds live on real briefs. Assistants, automations, creatives and tools.
After
30 days of support. The capability stays inside your company.
The method, not a frozen tool list.
ChatGPT and Claude at the core: custom GPTs, agent modes, connected inboxes and calendars, scheduled tasks, NotebookLM, AI site and app builders, and the current best tools for decks, data and ads. If a stronger model ships before your dates, we swap it in.
Recommended by the Creative Director of Cult.fit, on the strength of delivered work.
Asked on almost every call.
How is this priced?
Per engagement, not per head. The fee depends on format, duration, and travel. Share the shape of the training on a call and you'll have a number within one working day.
What team size works?
Keynote-style sessions scale to any room. Build days work best when every participant has a laptop open. We agree the right group size on the discovery call so nobody becomes an observer.
Can it run remotely?
Yes. On-site anywhere in India, or fully remote. The build-along format survives the screen; the briefs and artifacts stay the same.
Which languages?
English, Hindi, or Hinglish, matched to the room, not to a script.
Which tools do you cover?
The current production stack: ChatGPT and Claude at the core, custom GPTs, agent modes, connected inboxes and calendars, scheduled tasks, NotebookLM, and AI site and app builders. Tools change every quarter; the team learns the method, not a frozen tool list.
What does the team walk away with?
A finished asset they built themselves, the written workflow that produced it, and 30 days of support afterwards. The capability stays inside your company. It does not leave with us.
Should we train the team in-house or hire an AI agency?
Hire an agency when you need one thing delivered once. Train in-house when the work repeats every week, which is most AI work. Training keeps the capability, the context and the cost inside your company. Many teams do both: an agency for the first build, training so the team can run it afterwards.
How long does a corporate AI training programme run?
Formats range from a single-day sprint to a multi-week programme with sessions spaced so teams apply the work in between. Length depends on team size, how many functions are involved and whether you want people trained or a finished asset shipped alongside the training.
Does our team need to be technical?
No. The sessions are built for marketers, operators, L&D teams, founders and working professionals, not engineers. Everyone works on their own laptop with their own real briefs. The method behind the sessions is written out on the Who is Piyush Kukreja page. Where an engagement needs engineering, that gets scoped separately.
How do we measure the return on AI training?
By deciding before the session what the team will stop doing by hand. Hours returned per week per person, turnaround time on a recurring deliverable, and cost per asset are the three that hold up in a board conversation. Those baselines are captured before training so the after-number means something.