Plan AI training with Aashish
Plan a session
Aashish Pahwa is an AI corporate trainer. He runs hands-on AI training for company teams across India, in English or Hindi, in person or online. Each session builds a working workflow on your team's own tasks with ChatGPT, Claude or n8n, and the team leaves with it running.
100,000+ people trained · Founder, Koso.aiTeams at Rebel Foods, Tata 1mg, Pepperfry and 23 more
Hi, I'm Aashish.Let's build it on your work.
Most Indian companies have bought AI tools. What usually fails is AI adoption: the training teaches the tool, not the team's work. The largest recent surveys of AI training for business point at four gaps, and each one shapes how a session here runs.
Only 36% of employees feel they have received adequate AI upskilling.
How a session handles it: a full day or a series of evenings, hands-on, on your team's real work.
54% of Indian leaders worry their organisation lacks a plan and vision for AI.
Microsoft and LinkedIn, Work Trend Index 2024, India
Before any slide: use-case mapping, signed off by you.
72% of Indian AI users bring their own AI tools to work.
Microsoft and LinkedIn, Work Trend Index 2024, India
On your terms: training on the tools you approve, and private models for data that can't leave.
Only a third of frontline employees say leaders communicate clearly about AI.
After the room: every session ends with a workflow in daily use, an owner and a 30-day check-in.
AI training for teams works when each team builds from its own work. Each team builds three workflows in the room. Find yours below, or plan the session in the next section.
Marketers learn the AI their own campaigns need.
Pull a segment from the CRM, brief it, draft it in your brand voice, schedule it.
brief, draft, approve, schedulePages, refreshes and internal links driven by your own Search Console data.
a pipeline wired to your CMSWritten from ad, CRM and analytics data and posted where the team reads it.
an auto-written Monday reportEvery rep walks in with the research already done.
AI training for sales teams
A one-page brief on the account, the person and every past touch, before the call.
an enrichment flow into the CRMSummary, next steps and record updates without anyone retyping the call.
transcript, CRM, follow-upDrafts grounded in your pricing, your case studies and what was said on the call.
a drafter on your own docsClose the month without three people rebuilding one sheet.
AI training for finance professionals
Variance analysis and the reporting narrative drafted off your ledger exports.
a draft board-pack sectionMatch the easy rows, flag the exceptions, explain each in a line a human can check.
an exception queue with reasonsInvoices and requests classified and routed before anyone opens a tab.
a routing agent on a shared inboxHire and onboard faster without lowering the bar.
AI training for HR professionals
Job description to scored shortlist, with reasoning against your own hiring bar.
a screening flow over your ATSNew joiners ask the handbook and the leave policy instead of asking you.
an assistant over your own docsStructured notes, scorecards and review summaries from messy raw notes.
a scorecard generatorAnswer faster, and learn something from every ticket.
Classify, route and draft, grounded in tickets your team already resolved well.
a drafting agent on your helpdeskThemes, churn signals and product asks pulled from every conversation, weekly.
a digest that lands with productArticles written and refreshed from the resolutions your team shipped.
a doc pipeline fed by ticketsShip AI into the product, with evals from day one.
AI training for engineering teams
Structured outputs, tool calls and streaming inside a service you already run.
a feature behind a flagWith permissions, citations and an evaluation harness, running against real data.
a retrieval service with evalsMulti-step agents on real systems, with tracing, cost control and a kill switch.
a traced agent and eval suiteYour own use-case map, ranked by value and risk, for each function.
a signed-off use-case mapLeaders build one workflow themselves, so the plan is grounded in what the tools do.
one working workflow eachWhat data can go where, which tools are approved, and who checks the output.
a one-page AI policy draftFinal programme and price are set on the free discovery call.
30 minutes, free
Who is being trained, what they run today, and what good looks like in 90 days.
Before any slide
The workflows each function will build, and what each is worth. You sign it off.
In the room
Every session builds one of those workflows, on your tools and your data.
Day 30
Teams practise in a safe copy, move it into daily use, and a check-in shows what stuck.
The 50 team leaders make the decisions and will train everyone else, so the programme went to them first, and it went open source. By day 3, a team that started as beginners was talking about building its own agents.
It fundamentally reshaped how I interact with AI.
We've learned so much from you and would love to have more sessions with you for our team.
Corporate floors, campus auditoriums and conference stages. Every appearance below links to the organiser's page or the recording.
He also speaks at conferences and company offsites as an AI keynote speaker.
Dated, with a link to the source.
WordCamp Rajasthan 2026, Jaipur: The agentic webSpeaker, 4 October
rajasthan.wordcamp.orgInside A Hustler's Brain with Jitendra VaswaniPodcast guest, September
YouTubeWordCamp Ahmedabad 2025: WordPress and AI, business models for non-techies and techiesSpeaker
ahmedabad.wordcamp.orgAGITSS at IPEM, GhaziabadAI session, 22 August
AGITSS on XWordCamp Delhi 2024Organiser
delhi.wordcamp.orgWordCamp Mumbai 2023: The possibilities of AI in WordPressSpeaker
mumbai.wordcamp.orgWordCamp Udaipur 2023: WordPress and AI, present, future and possibilitiesSpeaker
udaipur.wordcamp.orgHis Feedough article on AI in marketing, cited in a journal paperCited
JSTORThe workflows he teaches are the kind his team builds for paying clients.
Aashish Pahwa is an AI corporate trainer based in New Delhi. He started out at Ogilvy, founded Feedough, a resource site for founders, in 2016, and founded Koso.ai, an AI development agency, in 2024. The training comes out of that agency work: the workflows he teaches are the kind his team builds for paying clients.
He runs the Indian AI Community, which holds meetups in cities including Mumbai and Bengaluru, and co-organises WordPress Delhi. About 186,000 people follow him on Instagram as @okaashish (October 2026) to learn new AI tools.
Companies looking for a corporate AI trainer or an AI trainer in India usually ask three things: who teaches, what the team builds, and what happens after. This page answers all three.
Want to see how he teaches first? Watch a talk above, or send a short brief.
Anything else, ask on the discovery call or by email.
An AI corporate trainer teaches a company's employees to use AI tools such as ChatGPT, Claude and n8n on their real work. Aashish starts with a discovery call, maps each team's workflows, runs hands-on workshops where the team builds them, and checks after 30 days which ones are in daily use.
It depends on headcount, number of days, format and how much is built on your own tools. Seats in public online cohorts start in the low four figures per person. Private programmes for one company are quoted after a free 30-minute discovery call.
Ask for three things: a sample agenda built on your team's tasks, references from a company of a similar size, and a plan for what happens after the session. A short pilot with one team before a company-wide rollout is a low-risk way to test fit.
Yes. Sessions run in person anywhere in India or live online, in English or Hindi. AI training for companies and AI training for corporates follow the same process; only the format and length change.
Yes. Sessions run in English or Hindi, or a mix of both, whichever your team works in.
No. Programmes for business teams are built for people who don't code. Engineers and product teams get a separate track with AI features, retrieval and agents.
Yes. Where data can't leave the company, the workflows run on self-hosted models with tools like Ollama and n8n. The Prodocs programme above was built this way.
Both. Public cohorts run live online. In-person intensives of 2 to 5 days run on site with your team. Private programmes for one company can be either.
A course teaches the tool. This builds your team's own workflows, on your data, with a check-in 30 days later to see what is actually in use.
Yes. At Prodocs, the plan went from 250 people to the 50 team leaders who make the decisions and will train everyone else.
Tell us the team, its size and one task. You get a reply by email with a plan for the session.
