Agentic AI Trainer in Mumbai: n8n and AI Agent Workshops

Agentic AI trainer in Mumbai: Rushabh Mehta runs hands-on n8n and AI agent workshops where teams turn manual processes into working automations.

7 min read

Agentic AI Trainer in Mumbai: n8n and AI Agent Workshops — Rushabh Mehta, Special Forces of AI

By Rushabh Mehta, corporate AI trainer, Special Forces of AI · Updated November 2026

An agentic AI trainer in Mumbai is a corporate instructor who teaches company teams to build AI workflows and agents that carry out multi-step work, such as reading inputs, applying rules and updating other tools, with a person approving key steps. Rushabh Mehta is a Mumbai-based agentic AI enabler and AI automation consultant who has built 100+ AI workflows and ran a closed-door agentic AI workshop for NPCI BHIM.

Agentic AI moves teams beyond asking a chatbot for answers. The workflow does the repeated steps; people set the rules and approve the outcomes.

TL;DR: An AI agent workshop in Mumbai should end with working automations built on the team's own processes, plus clear approval points and owners. Visual tools like n8n let business teams build these without heavy coding.

Plan an AI agent workshop →

What does an agentic AI trainer in Mumbai teach?

An agentic AI trainer in Mumbai teaches teams to map a manual process, decide which steps AI can handle, build the workflow in a tool such as n8n, and add the checks and approvals that make it safe to run. The focus is on working automations, not theory about agents.

  • Process mapping: break a repeated task into inputs, steps, decisions and outputs.

  • Workflow building: connect apps, AI steps and rules in n8n.

  • AI steps: use Claude or ChatGPT models to read, classify and draft inside the flow.

  • Human approval: place review points before anything reaches customers or commits spend.

  • Ownership: name who maintains each workflow once it runs weekly.

Case example: NPCI BHIM agentic AI workshop

NPCI BHIM ran a closed-door AI Automation and Agentic AI workshop with Rushabh Mehta in 2025. Marketing, UI/UX and executive leadership teams took part, and each team turned its manual processes into role-specific n8n workflow use cases.

The workshop shows the core idea of agentic AI training: start from real manual work and design the workflow around it. Read the NPCI BHIM case study.

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."

Why AI automation training in Mumbai is in demand

AI automation training in Mumbai is in demand because teams have learned to prompt and now want AI to take whole tasks off their plate. According to the 2024 Work Trend Index from Microsoft and LinkedIn, 60% of leaders worry their company lacks a plan and vision to implement AI.

Agentic workflows give that plan a concrete shape: specific processes, automated with approval points, measured by time saved. Rushabh's own line sums it up: "The only three metrics that matter in AI: money made, money saved, time saved."

Sample n8n training day in Mumbai

Time

Block

What the team builds

09:30

Pick the process

Each team chooses one manual process it repeats every week

10:15

Map it

Inputs, steps, decisions, outputs and approval points on one page

11:00

First workflow

Trigger, data step and an AI step that reads or classifies input

13:30

Connect the tools

Send results to a sheet, email or chat channel

14:45

Add approvals

A human review step before any important action

16:00

Test and hand over

Run on sample data, document it and name an owner

This day is a sample. Processes are chosen from what your team shares before the session, so every workflow built in the room solves a real problem.

Ask for an agentic AI workshop agenda →

Which processes suit AI agents first?

The best first processes for AI agents are frequent, rule-based, low-risk and annoying: tasks people repeat every week by copying between tools. These give fast time savings and teach the team how agentic workflows behave before anything higher-risk is automated.

Process

What the workflow does

Approval point

Lead triage

Reads new enquiries, classifies them and drafts a first reply

Sales owner approves the reply

Weekly reporting

Pulls data, builds a summary and posts it to the team

Analyst checks figures before posting

Content pipeline

Turns a brief into drafts for several channels

Marketing lead edits before publishing

Supplier follow-ups

Tracks overdue items and drafts reminders

Buyer approves each reminder

Who should attend an AI agent workshop in Mumbai?

  • Marketing and growth teams with repeated content and lead tasks.

  • Operations teams that move information between systems by hand.

  • Product and UI/UX teams exploring where automation fits user journeys.

  • Leaders deciding which processes to automate first.

Teams that want custom scripts as well as visual workflows can add Claude Code. For the broader programs, see corporate AI training in India and Claude training.

What teams walk away with

  • At least one working workflow per team, built on its own process.

  • A one-page process map with approval points marked.

  • Agreed rules on data, tools and who can change a workflow.

  • A shortlist of the next processes to automate, ranked by time saved.

  • A named owner for every workflow that goes into weekly use.

How an agentic AI engagement runs

  1. Scoping call to agree audience, tools, data rules and candidate processes.

  2. Process collection so each team brings one real, repeated task.

  3. Delivery onsite in Mumbai, elsewhere in India or live online.

  4. Follow-up two to four weeks later to fix issues and extend the workflows.

Common mistakes when teams build their first agents

  • Starting with the hardest process: early wins come from simple, frequent tasks.

  • No approval points: anything affecting customers or money needs a person to sign off.

  • No owner: workflows break when inputs change and nobody maintains them.

  • Automating a messy process: fix the manual version first, then automate it.

The shift from doing tasks to supervising systems is covered in one of the biggest mindset shifts while teaching AI automation.

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.

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 in Mumbai

What is agentic AI in simple terms?

Agentic AI is AI that carries out multi-step work, such as reading inputs, applying rules and updating other tools, rather than only answering one question.

Do participants need coding skills for n8n?

No. n8n is visual, so business teams can build workflows. Basic comfort with data and logic helps.

Can the workshop run at our office in Mumbai?

Yes. Sessions run at your office or a venue you choose, and can also run live online.

What will teams build in the workshop?

Each team builds at least one working workflow from its own process, with an approval step and a named owner.

Which tools are used?

n8n for workflows, with Claude or ChatGPT models for AI steps. Claude Code can be added for custom scripts.

Is it safe to automate work with AI agents?

It is safe when workflows run on approved tools, use agreed data rules and keep a person approving important actions.

How long is an agentic AI workshop?

A hands-on workshop takes one to two days. Multi-session programs suit teams automating several processes.

What should teams prepare before the workshop?

Each team should pick one repeated process, list its steps and gather sample inputs such as emails, forms or exports. Tool access should be confirmed for every participant.

Can leadership join the agentic AI workshop?

Yes. At NPCI BHIM, executive leadership took part alongside marketing and UI/UX teams, which helped agree priorities on the day.

Who delivers the workshop?

Rushabh Mehta delivers every session. He is a Mumbai-based agentic AI enabler who has built 100+ AI workflows.

Do you train agentic AI teams outside Mumbai?

Yes. Sessions run onsite across India and online for teams in the UAE, Singapore and the USA.

How much does an agentic AI workshop cost?

Cost depends on format, group size, customisation and travel. Share your requirements and you will receive a proposal.

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:

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.

Join the newsletter

Be the first to read our articles.