AI Financial Reporting Dashboard from CSV

The monthly close report is one of those documents that everyone needs but nobody enjoys producing. The mechanical part — pulling the P&L from QuickBooks, joining it to a budget tab, computing variance, writing two paragraphs of commentary — eats half a day. Sreniq does the mechanical part in one upload. You drop in the P&L plus an optional budget column; you get a categorised P&L summary, a variance table with red/green flags for lines off by more than your threshold, and an AI-written paragraph naming the lines that moved.

The richer cuts that founders and CFOs actually care about — gross margin trend over time, cash burn rate based on actuals, runway implied by current cash and burn — are derived in the same flow. If your CSV includes a cash balance line, runway falls out for free. If you include a department or cost-center column, OpEx by department slices in chat. Multi-entity work is a separate-file-per-entity workflow: upload each, ask for a consolidation, and Sreniq produces the combined view with eliminations called out.

Variance commentary is where the time savings compound. A typical close cycle has finance writing 'OpEx is 18% over plan, driven by a one-time legal expense and continued over-spend in marketing' for every line that moved. Sreniq drafts that paragraph from the variance numbers and the line names; you edit it for accuracy and send. The draft does not always nail nuance, but it consistently saves the half-hour of staring at the variance column trying to remember why the number moved.

Sreniq is a reporting layer, not a bookkeeping system. It works on the books your accountant produces and turns them into something readable in five seconds rather than an hour. For most early-stage companies the cadence is monthly close → upload the closed P&L → publish the dashboard internally → share the link with the board. The written narrative usually goes into the board update unchanged.