The analytics bot: a morning summary instead of manually gathering numbers from five different places
We look at a scenario where an analytics bot pulls data from the CRM, spreadsheets, and the company’s other AI bots, then sends management a ready-made summary in Telegram – without anyone having to log into every system separately.
What this request usually looks like
For the owner or manager of a small or mid-sized business, data is usually scattered across different systems: deals in the CRM, stock and sales in a spreadsheet, customer inquiries in chatbots on the website and in messengers. Getting the full picture for a day or a week means manually logging into every system, copying out the numbers you need, and pulling them together in one place – usually late in the evening or on a day off, whenever time finally opens up.
The goal in this scenario is for the summary to be put together automatically and delivered in a convenient format, without manually logging into every system one by one.
What the solution looks like in this scenario
We set up an analytics bot that connects to the data sources you need – the CRM, sales or stock spreadsheets, and the company’s other AI bots if they’re already running (for example, AI reception or AI sales). It also gathers analytics on the Telegram bot itself: how many inquiries came in, how many reached a manager, and how many were closed automatically with no human involved.
Once a day or once a week (whichever is more convenient), the analytics bot puts together a short summary and sends it to management on Telegram – not charts for the sake of charts, but the actual numbers needed to make decisions.
What this looks like in a message (sample report)
What this scenario delivers
Management gets the full picture for the day or week without manually logging into every system
You see not just sales numbers, but how the company's already-connected AI bots are performing
The summary arrives regularly and in one consistent format, rather than being pulled together whenever there's time
Decisions are made on current data, not on a feeling that "things seem to have gotten worse"
If you need a broader scenario
AI reception is often launched together with these scenarios – take a look, a combination might suit you better.
If, on top of reporting, you also need CRM data to update automatically during the conversation with the customer.
The same principle of ongoing monitoring, but applied to delivery statuses rather than overall business analytics.
The expertise behind this
IntegraBAS Solution has been on the market since early 2025, and before moving into AI agents the team already worked on integrations between CRM systems, marketplaces, and accounting systems – so building an analytics bot for us doesn’t start with “which charts should we draw”, but with “what decisions does management actually make based on these numbers”.
The summary is built around metrics that actually matter to the business, not a generic dashboard with dozens of indicators, half of which never get used.
Questions about this scenario
Tell us which systems you currently have to pull data from by hand to get the full picture – we’ll work out what part of this scenario can be automated first.
AI report for management: breaking down a recurring analytics scenario
This case covers a situation common among owners and managers of small and mid-sized businesses: data is scattered across the CRM, spreadsheets, and other systems, and getting the full picture means manually logging into each one. In this scenario, an analytics bot pulls the needed numbers automatically and sends a ready-made summary.
Building an analytics bot around specific business metrics
Building an analytics bot in this scenario doesn’t start with a generic dashboard, but with the question of what decisions management actually makes based on the numbers – and the set of metrics is built around that. It could be a sales summary, a stock summary, or a look at how the company’s already-connected AI bots are performing.
Telegram bot analytics as part of the bigger picture
If a company already runs chatbots – for handling requests or sales, for example – the report can also include Telegram bot analytics: how many inquiries came in, how many closed automatically, and how many needed a person. This makes it possible to see not just sales, but how effectively the automation scenarios already in place are performing.
If your data is also scattered across several systems and you’re pulling it together by hand, describe your situation in the form on this page – we’ll work out which sources are worth connecting first.