Agentic AI Trainer in India for Corporate Teams
Agentic AI trainer in India: Rushabh Mehta runs hands-on workshops where teams build n8n workflows and AI agents with human approval, on their own processes.
By Rushabh Mehta, corporate AI trainer, Special Forces of AI · Updated October 2026
Agentic AI training is how a team learns to hand multi-step work to AI: gathering information, deciding the next step, using tools and passing the result to a person for approval. Rushabh Mehta is an agentic AI trainer in India, based in Mumbai, who runs agentic AI corporate training and AI agents training for business teams, including a closed-door agentic AI and automation workshop for NPCI BHIM.
Most teams already know how to ask ChatGPT a question. Agentic AI is the next step: a workflow that runs the same task every week without someone copying and pasting between tools, with a human checkpoint where judgement matters. That is what participants build in the room.
Rushabh spent five years in enterprise IT product and project roles at CVS Health and United Airlines before moving into AI full time, and he has built 100+ AI workflows and automations for clients. He delivers onsite across India and online for teams in the UAE, Singapore and the USA.
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What is the difference between prompting and agentic AI?
Stage | What the person does | What the AI does |
|---|---|---|
Prompt | Asks one question, copies the answer | Answers once |
Workflow | Defines the steps once | Runs the same steps on new inputs |
Agent | Sets the goal, the tools and the limits | Chooses the next step and uses tools to finish the task |
Agentic system | Reviews and approves at set checkpoints | Several agents and workflows hand work to each other |
A good agentic AI training program moves a team along this ladder only as far as its work needs. Many teams get most of the value at the workflow stage.
Why companies are investing in agentic AI training now
Interest is outpacing planning. The 2024 Work Trend Index from Microsoft and LinkedIn found that 60% of leaders worry their company lacks a vision and plan to implement AI. Working with an agentic AI trainer in India gives teams that plan in practical form: mapped processes, working workflows and clear human checkpoints.
Who agentic AI training is for
Operations and MIS teams rebuilding the same reports every week.
Marketing and product teams whose research, briefs and reporting run through several tools.
Leadership teams deciding which processes to automate first and how much human review to keep.
Teams that finished a ChatGPT workshop and want the next step.
What participants build in an agentic AI workshop
A map of their team's processes, marked by which steps an agent can run and which need a person.
One working n8n workflow per team that takes an input, calls an AI model and delivers an output to the right place.
A human approval step inside that workflow, so nothing reaches a customer or a manager unchecked.
A short list of the next three automations, with an owner for each.
From Rushabh: “My time in enterprise IT at CVS Health and United Airlines shaped how I approach AI today: not as a demo, not as hype, but as something that has to work inside real teams, real processes and real business constraints.”
Ask for a proposed agenda →
Sample one-day agentic AI workshop agenda
Time | Block | What the team does |
|---|---|---|
09:30 | From prompt to agent | See one task done four ways: prompt, workflow, agent, agentic system |
10:30 | Process mapping | Break one weekly process into steps and mark the human checkpoints |
11:30 | First workflow in n8n | Connect a trigger, an AI step and an output (sheet, email or chat) |
13:30 | Giving the agent tools | Let the AI search, read a file or update a record, within limits |
15:00 | Human in the loop | Add an approval step and a fallback when the AI is unsure |
16:00 | Testing and handover | Run the workflow on real inputs, agree owners and the next three builds |
This agenda is a sample and changes with the tools your company has approved.
Agentic AI training case example: NPCI BHIM, 2025
NPCI BHIM's marketing, UI/UX and executive leadership teams joined a closed-door AI automation and agentic AI workshop. Each team listed its repetitive manual processes and turned them into n8n workflow use cases specific to its role, so the output was a set of automations the teams recognised as their own work rather than generic demos. Read the NPCI BHIM case study.
Agentic AI use cases by function
Function | Workflow a team typically builds | Where a person reviews |
|---|---|---|
Marketing | Collect campaign data from several sources and draft a weekly performance summary | Before the summary is shared with leadership |
Operations and MIS | Pull figures from sheets, flag exceptions and prepare the report draft | Exceptions above a set threshold |
Sales | Research an inbound lead and draft a first reply with account context | Every message before it is sent |
Customer support | Classify incoming tickets and suggest answers from the knowledge base | Refunds, complaints and anything unclear |
HR | Screen policy questions and route them with a draft answer | Sensitive or personal cases |
These are typical patterns, not promises: the use cases your team builds come from the processes it maps in the morning session.
How do you measure results from agentic AI training?
Agentic AI training is only worth it if the workflows keep running after the workshop. Three measures keep it honest:
Time saved: hours per week the workflow removes from the task it replaced, estimated by the team that owns it.
Usage: how many of the workflows built in the session are still running after 30 days.
Quality: how often the human reviewer has to correct the output before it goes out.
These are agreed with the sponsor on the scoping call, so the team knows from day one what success looks like for its own agentic AI use cases.
Tools used in agentic AI training
n8n to build workflows visually, without writing code.
Claude and Claude Code for reasoning steps, documents and building automations — see Claude training for corporate teams.
ChatGPT for teams that already use it day to day.
OpenAI Codex and Hermes Agent for technical teams building and running their own agents.
Agentic AI is one part of a wider program; for prompting, AI basics and department tracks see corporate AI training in India. Mumbai teams can also see agentic AI training in Mumbai.
Talk to Rushabh about your team →
About Rushabh Mehta
Rushabh Mehta is an agentic AI enabler, corporate AI trainer and AI automation consultant, and the founder of Special Forces of AI. He helps companies use AI in practical ways that improve productivity, decision-making and day-to-day execution.
He has trained teams at the Times of India, Economic Times, NPCI, HDFC Bank, upGrad, Outskill, L'Oréal and Wockhardt, and has built 100+ AI workflows and automations across sales, marketing, operations, research, HR, customer support, reporting and internal systems.
His work falls into three areas:
Corporate AI workshops for leadership and functional teams.
AI automation consulting using n8n, Claude Code, OpenAI Codex, Hermes Agent and agentic workflows.
Advisory support for businesses adopting AI across real workflows.
Before focusing on AI, Rushabh spent five years in enterprise IT product and project management roles at U.S. Fortune 100 companies, including CVS Health and United Airlines. He works with businesses, teams and institutions across India and internationally to help them move from curiosity to implementation.
Frequently asked questions about agentic AI training
Common questions companies ask before hiring an agentic AI trainer in India.
What is agentic AI training?
It teaches teams to build AI workflows and agents that complete multi-step tasks, using tools and handing results to a person for review, instead of answering a single prompt.
Can non-technical employees build AI agents?
Yes. The workshop uses n8n, a visual workflow builder, so business teams build working automations without writing code. Developers can join a separate Claude Code track.
Which tasks are good candidates for agentic AI?
Tasks that repeat weekly, have predictable inputs and a clear output: reports, research summaries, lead and ticket triage, data entry between tools.
Which tasks should stay with people?
Anything that needs judgement, carries legal or financial risk, or goes to a customer without review. Those steps get a human approval point inside the workflow.
Who delivers the training?
Rushabh Mehta delivers every session himself.
How long does an agentic AI workshop take?
One day for a first working workflow per team. Programs over several weeks add more automations and review them in follow-up sessions.
Do we need paid AI accounts before the workshop?
Participants need a laptop and access to the AI tools your company has approved. The exact accounts are agreed on the scoping call, so everyone can build on the day.
How do you keep company data safe in an agentic workflow?
The workflows use the AI tools and data your company has approved, and the scoping call agrees which data can be used in exercises.
How much does agentic AI training cost?
It depends on the format, group size, customisation and travel for onsite sessions. Share your requirements for a proposal.
How many people can join one workshop?
Groups are kept small enough for every participant to build a working workflow. Share your team size and the right format will be recommended.
Do you run agentic AI training outside India?
Yes, onsite or online for teams in the UAE, Singapore and the USA.
Contact Rushabh Mehta
Looking for a corporate AI workshop, AI adoption support for your team, workflow automation consulting, or practical training on AI tools and agentic workflows? Reach out directly:
Website: www.specialforcesofai.com
LinkedIn: linkedin.com/in/rushabhsmehta
Email: mehta.rushabh25@gmail.com
Instagram: @specialforcesofai
Masterclass: AI for Business Professionals — Economic Times masterclass
Share who the training is for, your team size and the AI tools you already use, and you'll get a proposed agenda for your team.
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