AI automation
AI automation for the work nobody should be doing
We map where your team's hours actually go, then automate the worst of it on the tools you already pay for — with AI handling the judgement steps rules cannot.
A free 30–45 minute process audit. You get the shortlist whether or not you hire us.
Quick answer
How much does AI automation cost in India, and how do I know what is worth automating?
Mana Studio maps where a team's hours actually go, then automates the worst of it on the tools the business already pays for — CRM, accounting, Sheets, email, WhatsApp — with AI handling the judgement steps rules cannot. On the India price list one process automated end to end starts at ₹25,000, a department's worth of workflows is ₹75,000, and company-wide builds with custom software behind them start at ₹1,75,000, given as a fixed number in writing after a free audit and before any work starts. That audit is 30–45 minutes on how work actually moves through the business, returning a shortlist ranked by hours saved per rupee spent — and if nothing on the list justifies the cost, Mana Studio says so. Every workflow has a failure path: anything the system is not confident about goes to a person with an alert, and anything touching money or a customer has an approval gate by default. Workflows, API keys, servers and accounts are handed over in the client's name, with no platform fee. Mana Studio is based in Warangal, Telangana, India, works with clients in India, the United States, the United Kingdom and the UAE in English, Telugu and Hindi, and replies to enquiries within one business day.
Last reviewed
- One process
- From ₹25,000 (India price list)
- Department pack
- ₹75,000
- Company-wide
- From ₹1,75,000
- Audit
- Free, 30–45 minutes, ranked by hours saved per rupee
- Safety
- Approval gate on anything touching money or a customer
- You own
- Code, servers, domain and every key, in your name
Every business has a handful of processes that quietly consume a person's week: copying enquiries from a form into a CRM, chasing the same follow-up, re-keying invoice lines, assembling the same report every Monday. None of them is important enough to fix, and together they are usually the largest recoverable cost in the company.
We start with an audit rather than a proposal. Thirty to forty-five minutes walking through how work actually moves through your business, then a shortlist ranked by hours saved per rupee spent. If nothing on that list justifies the cost, we say so — we would rather lose the quote than sell an automation that saves four minutes a week.
What gets built runs on the tools you already pay for. Migrations are expensive, disruptive and rarely the actual problem. Where a rule is enough, we use a rule; AI goes in only where the step genuinely needs judgement — classifying a message, extracting a field from an inconsistent document, deciding whether an enquiry is worth a salesperson's time.
The work people want to stop doing
Every automation project starts as a sentence about a person, not about software. These are the six we hear most.
“Somebody copies enquiries from one system into another all day.”
The cleanest automation there is, because the process is already defined and already being followed. Usually live in days rather than weeks.
“Leads go cold because nobody followed up.”
Capture, qualify, route to the right person, and chase on a schedule until somebody replies. The follow-up is the part that is worth money and the part humans drop first.
“We retype invoices and bills into our accounting.”
Document extraction with a human approval step on anything the system is not confident about. The approval gate is the point, not a compromise.
“Our Zapier bill keeps climbing.”
Per-task billing punishes exactly the workflows that are working. Self-hosted n8n moves you to paying for a server instead of for volume.
“The monthly report takes two days to assemble.”
Pull from the sources, apply the same rules every time, produce the same format. Reporting is where automation pays back fastest because the process never varies.
“We automated something once and it broke silently.”
The difference between a demo and a system. Retries, alerting when something fails, and a record of what ran are part of what we build, not extras.
What businesses automate first
Lead capture and qualification
Website form or WhatsApp enquiry → AI qualification against your criteria → into the CRM with the right owner and tags → notification to the person who should call. Nothing sits in an inbox overnight.
Customer support triage
Incoming message → answered from your own knowledge base where the answer exists → escalated to a person with context attached where it does not. The escalation path is designed first, not last.
Document processing
Invoices, purchase orders and forms arriving by email or PDF → extracted into structured fields → validated → written to your database or accounting tool, with anything uncertain routed to a human.
Sales follow-up
Quote sent → reminder sequence → status synced back to the CRM → a weekly summary of what is actually moving, instead of a pipeline nobody updates.
Internal operations and reporting
The Monday report, the stock reconciliation, the onboarding checklist — assembled automatically from the systems that already hold the data.
Approval gates where they matter
Anything touching money or a customer commitment waits for a human to sign off by default. Automation should remove typing, not remove judgement.
Which automation are you actually buying?
Automation is one of the few things here with fully published packages, so the bands below are real prices rather than ranges. Build fees are one-time; what the underlying tools cost is billed to your own accounts.
| If this is the situation | What fits | What it involves |
|---|---|---|
| One clearly defined process, one team | Starter Automation, ₹25,000 | A single workflow, mapped and built end to end, with failure alerting. The right first project because it proves the approach on something small. |
| Several linked processes across a department | Business Automation, ₹75,000 | Multiple workflows that hand off to each other, plus the integrations between the systems they touch. |
| Company-wide, several departments | Custom Suite, ₹1,75,000 | Scoped after a process audit. Deployed one process at a time rather than all at once, because that is how these succeed. |
| You are paying per task and it is getting expensive | Self-hosted n8n | Your own server, no per-task meter. The published n8n packages apply. |
| It needs to judge, not just move data | AI agent | Automation follows rules you wrote. An agent decides. Different build, different guardrails, different risk. |
| The process is not written down anywhere | Process audit first | We map it before building. Automating a process nobody has agreed on encodes the disagreement. |
When not to automate: if the process changes every month, or two people do it differently, fix the process first. Automation makes a good process faster and a bad process faster to get wrong.
What we build on
Mainstream, well-supported technology — chosen so your next developer can pick the project up, not so we are the only ones who can maintain it.
Automation
- n8n (self-hosted)
- Custom Node.js workflows
- Webhooks & REST APIs
AI steps
- Classification
- Extraction
- Summarisation
- Qualification
Your tools
- CRM
- Accounting
- Google Sheets
- WhatsApp Business API
- Slack
Reliability
- Retries
- Failure alerts
- Human approval gates
- Run logging
How we work
How automation work runs
Free process audit
We walk through how work moves through the business and come back with a ranked shortlist — hours saved against cost to build. No obligation, and the shortlist is yours either way.
Map before build
The chosen process is written out step by step, including the exceptions, before anything is built. Most of the value of an automation project is discovered here.
Build on your existing tools
Connected to what you already pay for. Self-hosted n8n where the volume makes per-task pricing expensive, custom code where no tool fits.
Launch, watch, tune
Failure alerts from day one, a tuning period after launch, and plain-English documentation your team can follow. Every workflow, key and account is in your name.
What it costs
Automation is one of the few things here with fully published packages, in both markets. The build fee is one-time; ongoing cost is whatever the underlying services charge, billed to your own accounts rather than marked up.
- AI automation in INR — from ₹25,000Starter, business and custom suite. The India price list.
- Self-hosted n8n automation — from ₹20,000No per-task platform fees, on your own server.
- AI automation in USD — from $499The separate US price list.
- Workflow automation in USD — from $999When the work is connecting tools rather than adding AI.
Platform work from the same team
Automation lives inside real systems. These are products we have built and run.
Algo Trading
AlgoEdge
Automated PNL reporting platform for Tradetron Creators — real-time MTM tracking, drawdown alerts, and Telegram summaries
Tradetron API · Telegram Bot
Job Portal
Sarkari Job Samachar
Comprehensive job portal for government job seekers with real-time updates and notifications
Next.js · Appwrite · SEO · Content Management
AI Automation by industry
The sectors we have shipped work in, and what changes about the build in each one.
Sources & further reading
The primary documentation behind the claims on this page.
Related services
AI Automation — frequently asked questions
How much does AI automation cost in India?
One process automated end to end starts at ₹25,000, a department's worth of workflows is ₹75,000, and company-wide builds with custom software behind them start at ₹1,75,000. You get a fixed number in writing after the free audit, before any work starts.
How do I know which parts of my business are worth automating?
That is what the free audit is for. We spend 30–45 minutes on how work actually moves through your business, then come back with a shortlist ranked by hours saved per rupee spent. If nothing on that list justifies the cost, we tell you.
Do I have to move to new software?
No, and we would usually advise against it. We build on what you already pay for — your CRM, your accounting tool, Sheets, email, WhatsApp. Migrations are expensive, disruptive and rarely the actual problem.
What happens when an automation gets something wrong?
Every workflow has a failure path. Anything the system is not confident about goes to a person instead of being guessed at, and you get an alert. Anything touching money or a customer gets an approval gate by default, so a human signs off before it goes out.
Is this just Zapier? Could I do it myself?
For a simple two-app trigger — honestly, yes, and we will tell you so rather than charge for it. Where we earn our fee is the work that hits the ceiling: steps needing real judgement, volumes where per-task pricing gets expensive, branching logic, or anything needing a proper database behind it.
Who owns the automations?
You do. Every workflow, API key, server and account is handed over in your name. There is no platform fee to us and nothing stops working if you stop working with us.
What is the difference between AI automation and an AI agent?
An automation follows a path you defined, with AI handling specific steps inside it. An agent decides its own next step against a goal. Automations are cheaper, more predictable and the right answer far more often — see our AI agent development page for when the other one is worth it.
Find what you can automate
A free 30–45 minute process audit. You get the shortlist whether or not you hire us.
Reference
Terms and guides worth reading first
Plain definitions and walkthroughs from our own reference library. No sign-up, no gate.
- Large Language Model (LLM)A large language model is a system trained on very large amounts of text to predict likely continuations
- RAG (Retrieval-Augmented Generation)RAG is the technique of searching your own documents for passages relevant to a question, then giving those passages to a language model along with the question, so the answer is grounded in your content rather than the model's training data
- EmbeddingAn embedding is a list of numbers representing a piece of text's meaning, positioned so that texts with similar meanings sit close together
- Vector DatabaseA vector database stores embeddings and finds the closest matches to a query quickly
- HallucinationA hallucination is output that is fluent, confident and false
- Human in the LoopHuman in the loop means an automated process pauses for a person to approve, correct or reject before it continues
Best AI Automation Agency in India To Get Back the Week Your Team Loses to Repetition
Every business has a handful of processes that quietly consume a person's week without ever being important enough to fix: copying enquiries from a form into a CRM, chasing the same follow-up, re-keying invoice lines, assembling the same Monday report from four different places. None of them looks urgent on its own. Together they are usually the largest recoverable cost in the company.
We start with a free process audit rather than a proposal, thirty to forty-five minutes walking through how work actually moves through your business. You get a shortlist ranked by hours saved per rupee spent, whether or not you hire us afterward. If nothing on that list justifies the cost of building it, we say so.
The processes businesses automate first
A pattern shows up across almost every client: the same five kinds of work, over and over, in different industries.
- Lead capture: a form or WhatsApp enquiry qualified against your criteria and routed into the CRM with the right owner, so nothing sits in an inbox overnight
- Support triage: answered from your own knowledge base where the answer exists, escalated with context where it does not
- Document processing: invoices and forms extracted into structured fields, with anything uncertain routed to a person rather than guessed
- Sales follow-up: reminder sequences synced back to the CRM, with a weekly summary of what is actually moving
- Internal reporting: the numbers assembled automatically from the systems that already hold them, instead of by hand every Monday
Built on what you already pay for
Migrations are expensive, disruptive, and rarely the actual problem, so the default is connecting to your existing CRM, accounting tool, spreadsheets, email and WhatsApp rather than replacing any of them. Where a rule is enough, we use a rule. AI goes in only where a step genuinely needs judgement, such as classifying an ambiguous message or deciding whether an enquiry is worth a salesperson's time.
We build on self-hosted n8n and custom Node.js workflows rather than a per-task SaaS pricing model, which matters once volume climbs, because per-task platform fees get expensive fast at real scale.
What it costs
This is one of the few services on the site with fully published packages in both markets. One process automated end to end starts at the India Starter price, a department's worth of workflows sits at the Business tier, and company-wide builds with custom software behind them start at the Custom Suite price. The build fee is one-time; ongoing cost is whatever the underlying tools charge, billed to your own accounts rather than marked up.
Could you just do this yourself with Zapier?
For a simple two-app trigger, honestly yes, and we will tell you that rather than charge for it. Where an agency earns its fee is the work that hits the ceiling: steps that need real judgement, volumes where per-task pricing gets expensive, branching logic across several systems, or anything that needs a proper database behind it rather than a spreadsheet pretending to be one.
The failure path is designed first
Every workflow has a failure path by default. Anything the system is not confident about goes to a person instead of being guessed at, and you get an alert when it happens. Anything touching money or a customer commitment gets an approval gate by default, so a human signs off before it goes out, not after something goes wrong.
When automation is not the answer
If the process changes shape every time depending on what the last step found, you probably need an agent, not a fixed automation, and pricing it as one will produce something brittle that breaks the first time a real edge case shows up. If the underlying problem is that a tool doesn't fit your process at all, no amount of automation glue fixes that; the honest answer there is custom software.
If the task is genuinely rare, say once a month, the engineering cost of automating it rarely beats just doing it by hand. We will flag that on the audit call rather than build something elaborate for four minutes a week saved.
How the work runs after the audit
The chosen process gets mapped step by step, including the exceptions, before anything is built, because most of the value of an automation project gets discovered at this stage rather than during the build. It then gets built on your existing tools, launched with failure alerts from day one, tuned over the following weeks, and documented in plain English your team can actually follow. Every workflow, key and account ends up in your name.
Talk to us about ai automation
Tell us what you are trying to build and where you are based. We call back within 2 hours during business hours.