Business intelligence with AI: ask in plain language, get answers from your data
Every new question from leadership becomes a request to the data team, which already has a queue of weeks. Dashboards answer yesterday's questions, not today's. Each department keeps its own spreadsheet with different numbers.
Data and BI with AI, step by step
Organized data
iTeam helps organize the official sources, definitions and metrics, connecting the ERP, CRM and other systems to a reliable repository.
Questions in plain language
The manager asks in chat, and the agent writes the query, runs it on the authorized data and answers with a table, a chart and an explanation.
A transparent query
Each answer shows where the data came from and which query was used, so the data team can validate it when needed.
BI kept current
Recurring analyses become dashboards in Power BI or Looker Studio, and the agent warns when a figure looks out of pattern.
Less repetitive work. More control.
- Questions answered without a queue
- A data team focused on strategic analysis
- One definition for each metric
- Decisions made with data, not hunches
Systems used in this solution
Ready-made AI teams for this work
Questions about data and bi with AI
Can the agent get a query wrong?
It can, like any analyst. That is why it shows the query and the source, and official metrics follow definitions validated by the data team.
Do we need a data warehouse?
Not to get started. The agent can query systems and spreadsheets directly, and iTeam helps build a repository when it makes sense.
Does it integrate with Power BI?
Yes, with Power BI, Looker Studio, BigQuery, SQL databases and ERPs such as TOTVS and SAP. TOTVS is a Brazilian ERP.
Who can query which data?
The agent respects each person's permissions. Sensitive data stays restricted and every query is recorded.
