The data is in the system, but to get to it you either need a ready-made report or someone has to sit down and write a query. As a result, the business owner gives up on asking the question — because the answer won't come until tomorrow.
AI Business Analyst removes this barrier. You type a plain sentence into the dashboard, the system builds the necessary query against your database on its own and returns the answer as a table or chart.
Example questions
Sales
“Which branch missed its target last month?” · “What are the 10 best-selling products this week?”
Warehouse
“Which products haven’t moved in 90 days?” · “Which items will run out this month?”
Finance
“Whose debt is overdue by more than 30 days?” · “How do this quarter’s expenses compare with last quarter?”
Staff
“Which salesperson has the most returns?” · “Which shift has the most voided receipts at the checkout?”
Why it works more accurately with us
The main problem with this type of solution is this: the AI doesn't know the structure of the database and makes up answers. For most of our clients, we built the system ourselves — we know what the tables mean, what each column stands for and what each status indicates. This information is given to the model in advance.
In addition, the system is read-only. No question can change, delete or overwrite data — queries run only under a separate user with reporting permissions.
How you get the result
- The question is written in plain language.
- The system returns the answer as a table, a chart or a single sentence.
- Below the answer, the data it came from is shown — so you can verify it.
- You can save frequently used questions to “favorites” and receive them as an automatic report every morning.
To be clear: the scope of questions is deliberately kept narrow — sales, warehouse, finance and staff metrics. Left without limits, the system could make up answers. A narrow scope is a condition for accuracy.
How we work
All our AI solutions follow the same principle: AI does not make decisions — it speeds up your employees' work. The system prepares a draft, and a person reviews and approves the result. This lowers the risk of errors and keeps your team in control of the process.
- Discovery and audit — together we measure how much time each process takes.
- Pilot — a limited-scope trial in one department, using your real data.
- Measuring results — we compare the numbers before and after the pilot.
- Full rollout — once the results are clear, it is extended to the whole company.
- Ongoing support — the model and rules are updated as your workflows change.
Is this solution right for your business?
Let's review your process in a short conversation — if it's not a fit, we'll tell you so.
Contact usFrequently asked questions
What is AI Business Analyst and how does it work without writing reports?
You type a question into the dashboard as a plain sentence, the system builds the necessary query against your database on its own and returns the answer as a table, a chart or a single sentence. Below the answer, the data it came from is shown, so you can verify the result.
Can the AI change or delete data in my database?
No. The system is read-only: no question can change, delete or overwrite data. Queries run only under a separate user with reporting permissions, so even if a question is built incorrectly, the database is not harmed.
Can I ask the AI any business question?
No, the scope of questions is deliberately kept narrow: sales, warehouse, finance and staff metrics. Left without limits, the system could make up answers, while a narrow scope is a condition for accuracy.
How do we start implementing AI business analytics in our company?
First, a discovery and audit is carried out, then a limited-scope pilot is run in one department with your real data. The numbers before and after the pilot are compared, and once the results are clear, the solution is extended to the whole company.
