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Hands-on AI workshops and bespoke AI solutions for businesses who want to evolve with the times.
AI is moving fast. Inside most businesses, it still isn't working.
The intent is everywhere. The execution isn’t. Four forces are pulling Indian businesses toward AI faster than they can actually adopt it.
The generational handover.
51% of Indian family businesses are now led by their second generation, and 84% of next-gen leaders want generative AI while only 8% have adopted it.
Source·Deloitte 2025 · PwC NextGen
Growth outrunning manual process.
63% of family businesses posted double-digit growth in 2024, and growth is what breaks the spreadsheet. Demand for AI skills in MSME hiring grew 164% in one year.
Source·Deloitte · Apna
The cost squeeze.
The people who could build this in-house are 600,000 short of demand and command 40–70% salary premiums; the firms that could build it externally start at ₹10 lakh floors. The tools are cheap — working systems are not.
Source·Deloitte-NASSCOM
A market too fragmented to start in.
Courses sell awareness, subscriptions sell access, consultants are unaffordable at one end and unaccountable at the other, and 97% of Indian enterprises fail at AI implementation. No one offers the full stack: in the room, problems surfaced by your own team, systems built and trained into the business. That absence is why businesses move the moment they find one.
Source·EY
The gap looks different at every size — and no one is closing it.
Small businesses
don't know where to start. Tutorials teach awareness, subscriptions provide access, and neither changes how the business runs. What's missing is a trusted way in.
Medium businesses
are stuck in pilot purgatory. For half of Indian enterprises, fewer than one in five AI pilots ever reaches production — the intent is funded, the execution isn't. (EY-CII, 2025)
Large enterprises
have deployed AI faster than their people can use it. Roles are being redesigned in 69% of organisations, but only 33% have a real upskilling budget — systems without a workforce that runs them. (Kyndryl, 2026)
How the pieces come together.
From first workshop to a business that runs on AI, in four moves — each one feeding the next.
Workshop
Discovery happens in the room, not in a deck.
Your team works with AI on its own accounts, emails and sheets from the first hour. By the time the session ends, a few automations are already running, and your team has listed the problems worth fixing next.
Live automations, and a list of problems your own team wrote.
Plan
Priced piece by piece. You control the spend.
You get one written plan: what's worth building, what each piece costs, and what it saves. Every piece is quoted separately, so you decide what gets built and in what order.
The build plan, per-piece quotes, savings stated per solution.
Build
On your real data. Nothing generic.
We build on your real workflows, never a template. You try working versions along the way, so the team that will use it can shape it before it's done.
Working systems, built for how your business actually runs.
Run
Your team owns it. We stay in the loop.
When a system goes live, the people who run it are trained on it. We come back for refreshers as the field changes, and build the next piece when you're ready. The aim is a business that runs on AI without us in the room.
Trained owners, running systems, and a way back to us when things change.
↻ Run feeds back into the next workshop — the loop keeps turning for as long as it’s useful.
Two ways in, one loop.
Get your whole team running on AI, in days.
One to two days, the full team together — hands-on, on the business's own work from the first hour. Everything worth automating gets found and set up in the workshop, by the people who'll run it. You leave with automations running, a short written plan of what's worth automating next, and an owner who knows what AI should and shouldn't do. A refresher when the field moves.
For your business (small)We train your teams to use AI. Then we build the systems your business needs.
Each department learns AI hands-on, on its own daily work. Everything worth automating gets found and sorted in the workshop itself. We build the systems on that list — each one quoted on its own, so you control the spend — and when a system goes live, we train the team that runs it. Nothing generic; the whole loop under one roof.
For your business (mid & large)From the workshops, and the systems we build.
“I came in skeptical — I've tried other AI courses and they always felt like they were built for someone else. This was the first time I left a session and immediately used what I learned in my business.”
“The hiring system they built runs our whole pipeline now — it screens applicants against the role, schedules interviews, and keeps every candidate's status current. We hire from one place instead of six inboxes.”
“We'd been pasting client data into chatbots with no rules at all — that stopped after week one. Now my firm has a proper review process, and drafting engagement letters takes minutes instead of a morning.”
From workshops and builds · 2026
We've done this work. That's why we can teach it.
Yuvraj heads Applied AI at Headout, the global travel experiences platform, where he leads how AI gets built into the way the company actually runs — from the internal tools teams use daily to hiring the next generation of AI-first builders.
At Human in the Loop, he leads programme design and delivery. His approach is direct: no jargon, no hype, just practical frameworks that help real people make better decisions with AI tools.
“I've watched hundreds of people try to adopt AI. The ones who succeed aren't the most technical. They're the ones who know exactly what problem they're solving.”
Fatema has spent twenty years marketing brands, first from inside them, now through The Story Shapers Collective, her own marketing collective. She has re-architected how her daily work runs: AI systems that carry work from meeting to documented workflow to client deliverable, pipelines threading meetings, channels, and project systems into one connected operation. The kind of infrastructure that lets a lean team run like a much bigger one.
At Human in the Loop, she shapes how the programmes are structured and experienced. Her focus is on making learning stick: not just what you absorb in a session, but what you actually change about how you work afterward.
“Training that doesn't change behaviour isn't training… it's information. We're here to shift behaviour.”
Where the learning continues.
Everyone who has trained with us is in The Loop — a private WhatsApp community where we share what we're building, answer questions, and keep the learning going long after the session ends.
- A practical tool, prompt, or workflow every week
- AI news filtered to what actually affects your work
- Ask anything — no question is too small
Scan to join · or use the button on the left
Start with a call.
Tell us what the business does, roughly how big the team is, and who to speak to. We’ll come back within a working day with times.
“Agents will talk to agents. Work will run while you sleep. But a loop doesn’t know what it’s for. Someone decides that, and someone answers for it. That’s the human in the loop — and we’re preparing you to be one.”