Your team is doingwork a machineshould be doing.
We build AI agents that handle the repeat work end to end — reading what comes in, deciding what it means, and writing the result back into the tools you already use.
30 minutes · fixed price · live in about two weeks
One automation, end to end
runningTrigger
Email · form · webhook
Agent
Reads, decides, drafts
Action
CRM · sheet · reply
What we build
Four kinds of work, gone from the week.
The queue answers itself
Order status, refunds, delivery changes — resolved in the channel they arrived in. Anything with a contract or a refund over your threshold goes to a person, with the thread already summarised.
Inbox · tier 1
Documents become rows
Invoices, POs and forms read field by field, validated against your records, written where your team already looks.
invoice_0418.pdf
Tools that finally talk
One run touches mail, sheets and chat without a person copying between them.
Where the week actually goes
We measure the task before we automate it, then again after. If the number does not move, the automation was not worth building.
How a build runs
Ten working days, start to live.
One call, one bottleneck
Thirty minutes on the task that eats the most time. You leave knowing whether AI is the right tool — including when it is not.
Fixed scope, fixed price
What the agent will do, which systems it touches, what success is measured against, and the date it goes live.
Built on your real data
No toy examples. Your messy inbox, your actual invoices, your naming conventions — with a human checkpoint anywhere the cost of being wrong is high.
Live, watched, yours
Deployed with monitoring and alerts, your team trained on the escape hatches, and the source handed over.
Guardrails
Automation you can leave running.
The reason most automations get switched off is not that they fail — it is that nobody can tell when they did. These four are in every build.
- A person on the risky calls
- Refunds, contracts, anything irreversible — the agent prepares the decision, a human makes it.
- It says when it is unsure
- Low confidence escalates instead of guessing. A wrong answer costs more than a slow one.
- Your keys, your cloud
- We deploy into your environment with your own model keys when you want it that way.
- Every run is readable
- What came in, what the agent decided, what it changed — logged in plain language, not a trace file.
Questions
The four we always get.
How is this different from Zapier or n8n?
Those chain triggers you define in advance. An agent reads unstructured input — an email, a PDF, a half-written note — decides what it means, and writes something back in your voice. Zapier cannot read an invoice; it can only move one.
What happens when the AI gets it wrong?
Anything high-risk stops at a human checkpoint before it commits. Everything else is logged and alerted, so a bad run is caught in minutes rather than at month-end.
Do we have to move off our current tools?
No. We build against the stack you already run — mail, sheets, chat, CRM, storage, custom APIs. Migration is a separate decision, and usually the wrong one.
What does it cost?
Most builds land between ₹50k and ₹5L depending on how many systems are involved. You get a fixed quote after the discovery call — no hourly billing.
Start here
Bring us the task
nobody wants to do.
Thirty minutes, no deck. We will tell you what can be automated now, what should wait, and what is not worth it at all.