A digital colleague who completes the task.
A chatbot tells you how to do it. Chetty opens your system, processes the order, replies to the customer and creates whatever is needed. It gets access just like any other employee and handles its workload on its own.
- 200+
- organizations use Chetty.ai
- 78 %
- support time saved
- 24/7
- works through the night and on weekends
Order no. 24118 — 3 items, required by Friday. Attachment: rozpis.xlsx
- 22:41Read the order
It extracted the items, quantities and deadline. It even opened the Excel attachment.
- 22:43Verified the customer
It found his prices and previous orders. One item is out of stock.
- 22:45It encountered a permissions boundary
It must not approve the replacement. It wrote to the warehouse manager and is holding the order.
- 07:12Delivered on its promise
Created the order, sent the confirmation and scheduled a dispatch check.
They trust us
What happens when it encounters something doesn’t reach?
The most common question we get is: what happens when it can’t reach something? The answer is that the work doesn’t stop.
An inbox no one can keep up with
Chetty does not guide it like a prompt. It guides it like a person who is accountable for it.
- 1Reads and sorts
It sorts mail according to its subject and urgency. It clears away spam based on the rules you provide.
- 2Identifies the connections
It links the message to earlier communication, an order or a quote. It knows what you promised the customer last time.
- 3Answers
It handles routine queries on its own. For more sensitive answers, it waits for your approval.
- 4Follows up
It monitors who has not responded. It follows up automatically and alerts you when a deadline is approaching.
People no longer have to re-enter information or keep track of appointments. They can focus on what you hired them to do.
See the status of everything without having to ask anyone.
They get an answer in the evening and at the weekend—not on Monday, when someone finally checks the inbox.
In these situations, Chetty reached for
The difference is not how intelligently it responds. It’s about where the work ends.
It doesn’t get a task, but an area of responsibility
It receives and processes the order, confirms it with the customer and makes sure it is actually dispatched. You get the finished result, not a draft.
Has its own account and permissions
You decide what it may access, what it can do on its own and when it must ask. Every action it takes can be traced afterwards.
Works through the night
It monitors the inbox and task queues. Anything that arrives at 11 p.m. is usually done by morning, without anyone having to assign it.
The task is handed over there, where you usually communicate
It breaks the task down into steps and completes them. When it does not have the authority to do something, it asks a specific person and holds the work in the meantime.
- 1Task
from Teams, email or the web
- 2Materials
history, data and documents
- 3Process
steps, permissions and model selection
- 4Work
systems, browser, files, people
- 5Done
hands off, follows up, records
A record is created at every step: what it did, when, using what, and who approved it.
What it learned, uses it independently next time.
You write to him via
Can handle
Knows who’s who in the company
It knows your people’s roles and permissions. When it reaches the limits of its authority, it doesn’t return an error message. It finds the person who makes the decision, sends them a summary and waits for their response.
No one needs to monitor whether something has gotten stuck.
Remembers how things work at your organization
You don’t have to explain every time who your biggest customer is or how discounts are approved in your organization. Insights that are confirmed stay with it. Anything that hasn’t proved useful for a year fades away.
Missing a skill? It can learn it.
You don’t have to wait for the next version or order a customization. If it’s not enough for a task, it builds a tool for itself and you can then put it into operation.
a new skill, add-on, or API integration
verifies that it works on a real task
deploys it with a record of the change
based on who should have access to it
From practice: The carrier’s portal has no integration, so invoices are downloaded manually. Chetty creates a browser-based workflow for it, tests it, and, once approved, makes it available to the entire department.
It isn’t controlled by a single on/off switch for the entire agent.
For each activity, you choose separately: you can let it handle routine work from start to finish, while retaining the final say on sending offers. When it needs to wait, it really waits.
It does the work and records the results. Typically, it reads data, sorts mail and prepares materials.
Prepares it and waits for your click. It sends nothing and reminds you.
It never touches it. It hands it over to a person together with the relevant context.
For larger tasks, a second agent oversees it
When you give Chetty a multi-step task, a second agent reviews its steps. Anything clear moves forward. Anything uncertain is sent to you.
send, create, record
certainty · return · sensitivity
You don’t have to believe everything it says right away
Start at the lowest setting and, once you see how it works, roll it out further. It’s a configuration question, not a new order.
Prepares a plan and waits; it does nothing on its own.
the first weeks, sensitive processes
It only does what it is sure about and leaves the rest to you.
as you get used to each other
Handles most cases independently and escalates disputed cases.
an established process
It runs independently and only reaches out when it doesn’t know how to proceed.
a routine it knows by heart
It doesn’t fail silently
The worst thing that can happen with automation is a silent failure. Something breaks, no one notices for a week, and the customer is left waiting. That’s why delegated work is monitored by a watchdog.
It monitors even what no one assigned to it
And you can see it live
Who is working on what right now, what is waiting for your decision, what was completed today and how much it cost. Approve it with a single click, even from your phone.
What you will see in the statistics
We'll work with you to define what Chetty can handle independently and where you want to have the final say.
Chetty runs in your environment. Your data stays in-house.
The question that always comes up in an IT meeting. The answer is brief: only the text you send to the language model ever leaves your environment.
When you deploy a model that runs on your own infrastructure, this outward-pointing arrow disappears completely.
- Databases, memory and work logs
- Files it downloads or creates
- Memory maintained separately for each person
- Task description and supporting materials
- Goes to the provider you choose
- An admin can also restrict the selection by team
- Keys are stored one-way and can never be retrieved by anyone through the browser
- It does not store passwords or tokens in memory
- Members only see the projects they are assigned to
You’re not limited to ready-made connectors
If your system has an interface, Chetty connects to it. And if it doesn’t, Chetty operates it like a human, through a browser.
- Your applications’ APIs
- MCP servers
- Databases
- Webhooks and events from other systems
- Web applications without an API
- A custom-built add-on
Where it runs
It has modest hardware requirements. It doesn’t need graphics cards or Kubernetes. A standard server is enough, so deployment won’t become a six-month IT project.
A deleted record is no longer used and remains only in the audit trail. If you want hard deletion or a model operated exclusively in the EU, request it during deployment — it can be configured. Chetty selects a model based on the complexity of the task; the administrator sets the limits and available models separately for individuals and entire teams.
Not a guess based on assumptions. Measured difference.
Chetty has access to extensive technical documentation and can quickly identify connections within it that a person would otherwise spend significantly longer finding. Customers receive accurate information without unnecessary delays, while our specialist can focus directly on expert assessment and final authorization instead of laborious searches through manuals.
How much it costs
We price Chetty based on what you want it to take over. A flat-rate price list would not tell you much, so instead we explain what determines the price.
One process in sales can cost something very different from an entire customer support operation.
Connecting to an API is more demanding than clicking through a portal with no interface.
Routine work at the lowest level costs differently from a workflow managed from start to finish.
And what does it save?
We don’t estimate the savings. We measure them in your work—the same process, measured twice.
The ratio shown in the image is for illustration only. Actual figures come from measurements at your site.
- 1Choose the process that slows you down the most
- 2We’ll measure how much time people currently spend on it
- 3We measure the same when Chetty runs it
- 4See the difference in black and white before you decide
There’s no point in starting with everything at once. One inbox or one order queue is more than enough.
Choose a process that repeats and has a clear beginning and end
Show us how you do it today, and we’ll measure it
Chetty takes it over; you evaluate the results using the numbers
The questions that always come up.
Can’t find your question?
One agenda hand it over to him for a trial.
Choose a process that repeats and has a clear beginning and end. We will measure how much time people currently spend on it—you will not pay for the first measurement.