Precanto

Ask Precanto is a chat agent that answers finance questions in plain English, backed by real-time data and machine learning predictions. It lives in a chatbot, Slack, email or the browser, so answers arrive where people already work. The idea is to skip the side math and get a finance-aware answer in seconds.

Precanto shows where you're tracking against forecast across key spend areas, and the predictions update as the underlying data changes. There's no manual refresh to trigger and no stale model to rebuild before a meeting. You see the current position and the projected one side by side.

The platform tracks headcount and compensation down to the general ledger, cost center and location level, and it keeps those figures current with the latest data. You can see the current run-rate and the projected position. Precanto says the precision matches what a ten-person FP&A team would produce, a claim from its own site.

Precanto builds forward-looking P&L, balance sheet and cash flow statements from its own machine learning models. Teams use them as a starting point rather than a manual roll-up. The company says this cuts manual forecast roll-ups by 50%, which is its own figure.

You can simulate real-world tradeoffs against the most current inputs and ML-driven predictions. Run scenarios side by side to compare a hiring plan, a spend cut or a pricing change before committing. It's a fast way to test a financial lever without editing a live model.

Beyond the forecasts, Precanto explains why actuals moved against plan and flags anomalies and data integrity issues. Catching an unexpected movement early beats explaining it after it reaches a report. This is the part that pairs well with a month-end soft close.

Precanto's ingestion engine pulls data from ERP, HRIS, ATS and other systems, then cleans, maps and reconciles it automatically. Predictions start from standardized inputs, which matters because messy source data is the main reason forecasts go wrong.