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Resource Usage

The Billing → Usage section is a summary of the company’s spending statistics. Unlike (where each charge is shown as a separate line), Usage shows aggregated spending from two perspectives: by bots an

Updated June 21, 20264 min
The Billing → Usage section is a summary of the company’s spending statistics. Unlike Charge History (where each charge is shown as a separate line), Usage shows aggregated spending from two perspectives: by bots and by workspaces (Spaces).
This is where you understand not “how much was charged,” but “where the budget is going.” It is used for monthly reconciliation, reallocating resources between projects, and finding unexpectedly expensive bots.
When to open this section
Monthly reconciliation — which bot consumed how much during the period. Preparing a report for management or for a client who pays for several Spaces. Finding unexpectedly expensive conversations: one bot is taking 60% of the budget — is that normal, or is the prompt broken? Budget reallocation: move a bot from one Space to another and check whether the load has actually decreased. After launching a new campaign or AI feature — compare the increase in spending with your expectations.



How it works

A bot’s spending consists of two parts: platform billing for the bot itself (fixed) and AI chats — conversations where AI Reply, AI Routing, or AI Recognition was triggered. The more actively AI is used, the larger this part is.
If a bot moved from one Space to another in the middle of a period, spending for the remaining days goes to the new Space. The previous part remains assigned to the old one.



Usages by bots

Resource usage for each bot in the company.
Usages by bots
Usages by bots

Here you can see how much each bot consumed during the selected period. This is useful when you have 5+ bots and it is not clear where the budget is concentrated.
A typical situation: you see that one bot is taking 5 times more than the others. Possible reasons: more incoming traffic (normal), AI is working more actively (normal if that is the goal), AI Reply is poorly configured and loops (check AI Reply — smart replies via AI), or an expensive model is connected in AI Models — Complete Guide to AI Models in Chatterfy for logic where a cheaper one would have been enough.



Usages by spaces

Resource usage by workspaces.
Usages by spaces
Usages by spaces

Helps analyze expenses by projects or clients. If each Space is a separate offer or client project, you immediately see how much each project costs and what to charge whom.
Especially useful for agencies: one Space — one client. The Space’s monthly spending equals the total platform invoice to the client.



Use cases

Find the bot that is eating the budget — arbitrage

The buyer launched 4 campaigns, each on its own bot. After a week, spending is 3 times higher than planned. They open Usage by bots → see that one of the 4 bots is taking 70%. They go to Steps Conversion — funnel by flow steps of this bot and discover that AI Reply got stuck in a loop at one step (Skip transition blocking on first run is disabled, and each lead sends 30 messages). They fix it — spending returns to normal.

Client reconciliation — sales agency

An agency manages CRM for several clients. Each client is a separate Space. At the end of the month, they open Usage by spaces, see the spending for each one, add their margin, and issue invoices. A dispute with a client about “where this amount came from” is resolved with a link to a screenshot of the section.

AI load analysis — support

The support team implemented AI for support bots. After a month, they check: AI handles 70% of conversations, spend increased by $200, and the workload for operators decreased by 15 hours per week. They calculate ROI: $200 < the cost of 15 operator hours.
What to keep in mind
Data in Usage is updated once a day — you will see today’s spend tomorrow. Do not expect real-time data. Bots with the Stop status are not billed, but they still appear in the list. For an archived bot, spend for previous periods is retained — this is financial history.



Frequently asked questions

It depends on the situation. If this bot is the main one (the main traffic goes through it), this is normal. If all bots receive a comparable flow of leads but spend is uneven, check the following: the AI model on this bot (it may be more expensive than needed), prompt length, and AI Recognition trigger frequency. A common cause is a looped AI Reply.

You are probably looking at different periods. In Usage, the period is the selected date range. In Transactions history, it is all charges for the period. If you are comparing a “month,” make sure it is the same month. If the discrepancy is large, contact support.

There is no direct export. For a full export, use Charge History — it includes detailed data. If you need an aggregated report, contact support; they can generate one.

Options:
— Switch the AI model to a cheaper one in AI Models — Complete Guide to AI Models in Chatterfy (separate selection for logic and for the response — you can keep a strong model for logic and use a lightweight one for text).
— Shorten the prompt in AI Settings — Bot Personality — long descriptions and constraints increase the cost of each response.
— Disable AI Recognition for media types you do not need — for example, if documents can be ignored.
— Add steps without AI where AI is not needed (Send message with ready-made text instead of AI Reply).

No. Stop completely stops the bot — no charges are made for it. Use Stop for bots that are temporarily not needed (test or seasonal bots) but that you do not want to delete or archive.



Connection with other sections

Usage gives you a company-wide view — at the level of bots and Spaces. For details on a specific bot, open Billing — bot expenses — it shows spend by day, average conversation cost, trend charts, and average cost of a new chat.
If you need to understand which funnel step is where money is being spent — Steps Conversion — funnel by flow steps



Related

Billing — Company Balance and Expenses
The Billing section is for managing the company balance and controlling expenses within the platform. Here you top up the balance, view the transaction history, and analyze where the money is going. B
Charge History
The Transactions history block in the Billing section lists all debits from the company account line by line. Unlike (where data is aggregated by bots and Spaces), here each debit is a separate record
Billing — bot expenses
The Billing tab in the shows how much it costs to run a specific bot. All expenses are collected here: using the bot itself, AI model calls, AI Reply, AI Routing, and AI Recognition. This section help
AI Models — Complete Guide to AI Models in Chatterfy
Here you select the models for generating replies and routing, as well as an approximate estimate of the conversation cost. The quality of your bot’s overall performance depends on the model you choos

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On this page

  • How it works
  • Usages by bots
  • Usages by spaces
  • Use cases
  • Find the bot that is eating the budget — arbitrage
  • Client reconciliation — sales agency
  • AI load analysis — support
  • Frequently asked questions
  • Connection with other sections
  • Related