How to Ask Questions About Your Business Data in Plain English

Every business leader has experienced this dilemma: you are preparing for a quarterly review or making an important hiring decision, and you need a straightforward answer: 'Which client delivered the highest profit margin last quarter?' or 'How many sick leave days did each department take this year?'

In traditional setups, answering this requires exporting CSVs from three different software systems, pasting them into Excel, cleaning up date formats, writing complex VLOOKUP formulas, and hoping the math is right. By the time the spreadsheet is ready, three days have passed, and the moment for decisive action is gone.

SelfRun DataBrain AI provides conversational business intelligence using the records available to that product. Each SelfRun product keeps its own database; connect approved data sources when you want a broader view.

You do not need to know SQL, Python, or data modeling formulas. You simply open SelfRun DataBrain AI and type your question in ordinary conversational English, exactly as if you were asking a senior operational director.

Here are examples of real-world queries business owners run inside SelfRun AI every day:

- 'What was our total revenue collected last month, and how does it compare to our operating expenses?'

- 'List all active projects that have exceeded 80% of their estimated hours but are less than halfway through their milestones.'

- 'Which marketing channel produced the highest number of closed-won deals over the last ninety days?'

- 'Show me any employee expense reimbursements over $200 that are currently awaiting approval.'

The AI scans your live records, calculates the figures, and responds with crisp tables, percentage comparisons, and clear summaries in seconds.

A common weakness of generic consumer AI chatbots is hallucination: they often invent convincing numbers that have no basis in reality. In financial and operational management, a fabricated metric can lead to disastrous decisions.

SelfRun AI prevents this by showing its working. When the AI delivers an answer, it provides an expandable 'Working & Data Sources' tab. You can click to see the exact database collections queried, the date filters applied, and the step-by-step arithmetic used to reach the final number. If you ever want to audit the result, the proof is right in front of you.

Not everyone in your organization should have access to company-wide financial records or executive salary figures. SelfRun AI enforces strict role-based access control inside SelfRun DataBrain AI.

A project manager asking questions will only receive answers drawn from the projects, timesheets, and tasks they have permission to view. Executive financials, bank account balances, and payroll specifics remain strictly accessible to Super Admins and authorized Finance Officers.

Start your Monday morning by opening SelfRun DataBrain AI and asking: 'Summarize our top operational priorities, overdue invoices, and blocked project tasks for this week.'

Use the answers to set your team's agenda before stepping into your morning meetings.

Prompt the AI to spot trends before they become problems: 'Are any client accounts taking longer to settle invoices this quarter compared to last quarter?'