n8n vs Make vs Zapier for AI Agents in India: Corporate Automation Guide
Updated: 52 minutes ago
Quick answer
Choose Zapier when non-technical teams need the widest app library and the simplest setup. Choose Make when you want a visual builder for branching scenarios at a lower entry cost. Choose n8n when you need self-hosting, deeper AI agent control or high run volumes, and you have someone to maintain it. The three bill differently, so compare cost on your own workflow.
Selection table
Question | n8n | Make | Zapier |
Billing unit | Per workflow execution | Per operation or credit | Per task |
Hosting | n8n cloud or self-hosted | Hosted only | Hosted only |
App library | Smallest of the three, plus HTTP requests | Large | Largest |
AI agent features | Agent nodes, model choice, local models when self-hosted | AI agents and model modules | Zapier Agents and AI steps |
Skill needed | Medium to high | Medium | Low |
Best fit | Technical teams and data control needs | Operations teams with branching flows | Business teams starting out |
Why the billing unit matters
A ten step workflow counts as ten tasks on Zapier, about ten operations on Make and one execution on n8n cloud. Self-hosting n8n removes per run fees and adds server, backup and maintenance work. Published 2026 comparisons list Make's entry plan at about 10.59 US dollars a month and Zapier's free plan at 100 tasks a month. Prices change, so check each vendor's pricing page.
India specific points
Data location: n8n is the only one of the three you can run on your own servers. Ask your legal team what the DPDP Act and your client contracts require.
Payment: all three bill in foreign currency. Check GST treatment with your finance team.
Skills: self-hosting needs someone comfortable with Docker and server upkeep.
WhatsApp: business messaging needs an approved WhatsApp Business provider. Check the connector before you design the flow.
Build one test workflow in all three
Use invented data only.
Create a form that collects name, company and requirement.
Submit thirty invented enquiries.
An AI step classifies each as sales, support or other and extracts the fields into a sheet.
A draft reply is written. A person approves before anything is sent.
Count tasks, operations or executions used and the build time on each tool.
Measure | What to record |
Accuracy | Enquiries classified correctly out of thirty |
Usage | Units consumed for thirty runs |
Build time | Minutes to a working flow |
Failure handling | What happens when the sheet is unavailable |
Approval | Whether the send step waits for a person |
The same workflow on each platform
Step | n8n | Make | Zapier |
|---|---|---|---|
Trigger | Form trigger node | Form or webhook module | Form or webhook trigger |
Classify and extract | AI agent or LLM node | AI or model module | AI step |
Save | Google Sheets node | Google Sheets module | Google Sheets action |
Approval | Wait for approval step | Approval by email or chat module | Approval step |
Usage for one run | 1 execution | About one operation per module | One task per action step |
Build it yourself on trial accounts and record the count each platform reports. This page does not publish screenshots from a run that has not been recorded.
Pricing checked on Tuesday 10 November 2026
Third party comparisons list Make's entry plan near 10.59 US dollars a month and Zapier's free plan at 100 tasks a month. These were not confirmed on the vendor pages for this article, so use the official pages for current prices:
Three department examples
Sales: enquiry capture, classification and a follow-up draft for approval.
HR: resume intake into a sheet with fields extracted and a shortlist for a recruiter to review.
Finance: invoice details read from email into a sheet, with mismatches flagged for a person.
Security and permissions
Connect each app with the narrowest scope it offers.
Store API keys in the tool's credential store, never in a step.
Keep a person in the path for sending, paying and deleting.
Turn on run history and review failed runs every week.
Workshop syllabus
2-hour briefing: the selection table, cost logic and choosing a first workflow.
Half-day workshop: the enquiry workflow built on one tool chosen by the team.
Full-day programme: the workflow on two tools, error handling, approvals and a cost comparison.
About the trainer
Parikshit Khanna is a corporate AI trainer and the founder of Digital Training Jet, started in Delhi NCR in 2020. Digital Training Jet reports a reach of 3,50,000+ professionals across its programmes and trainer network. Corporate work includes sessions for teams at Arvind Fashions, CP PLUS, GMR Delhi Duty Free, LG Electronics, Malabar Group and ZAFCO. This page is written by his team, so treat it as a provider's view.
Photos from real training sessions
Parikshit Khanna delivering a live online AI session Corporate team practising generative AI prompts in a training room with Parikshit Khanna Hands on AI working session with a leadership team Parikshit Khanna speaking on Redesigning Work with Artificial Intelligence at TEDx Parikshit Khanna at the Prasar Bharati NABM Generative AI workshop Managers working through a hands on AI exercise at a corporate training led by Parikshit Khanna
Book automation and AI agent training
Share your team size, the apps you use and one process you want to automate.
Related guides
Books by Parikshit Khanna for this topic
These are the Topmate books by Parikshit Khanna that match this article. Each is a PDF at ₹99, the price listed on Topmate on Wednesday 11 November 2026. Tap a cover to open the book page.
The Agentic AI Playbook 2026
A 735 page guide to planning, building and governing AI agents at work. Listed at ₹99 on Topmate as checked on Wednesday 11 November 2026.
AI Agents & No-Code Automation: Practical Guide
A practical guide to no-code automation with tools such as n8n, Make and Zapier. Listed at ₹99 on Topmate.
AI Builder Kit: Agent and Workflow Worksheets
Fill-in worksheets for scoping an agent or workflow before you build it. Listed at ₹99 on Topmate.
What is new in n8n (checked Wednesday 11 November 2026)
n8n 3.0 was released on 27 October 2026. It is a major release with breaking changes, so test workflows on a copy before upgrading.
npm installs stop working with n8n 3.0. New self-hosted installs should use Docker or the one-line setup.
The AI Assistant, which builds and edits workflows from plain language, can be set up on self-hosted n8n since version 2.35 in August 2026.
Human approval steps can record who approved and when, since version 2.30 in July 2026. This matters for any agent that sends, pays or deletes.
Sources: n8n release notes and n8n changelog. Session exercises are updated to the stable version your team runs.
Who delivers this work
Parikshit Khanna leads every programme and is the single point of contact. Rushabh Mehta supports AI agent and workflow automation work, and Allen Lawrence supports technical and developer focused sessions. To enquire, contact Parikshit on WhatsApp at +91 99972 13177 or by email at pkhanna123@gmail.com.
Frequently asked questions
Which tool is cheapest?
It depends on steps per workflow and runs per month. Count your own usage with the test workflow before choosing.
Is self-hosted n8n free?
The software has a community licence with conditions. You still pay for servers and for the time to maintain them.
Can these tools run AI agents?
Yes. All three offer agent features. They differ in control, model choice and hosting.
Do participants need to code?
No. A developer helps for self-hosting and custom API calls.
