Financial data anomaly detection and predictive planning

By the time a bad number surfaces, the decision’s already been made. Planful AI Signals catches anomalies continuously, giving teams earlier visibility into revenue gaps, cost overruns, and unusual trends before they show up in month-end reporting.

Planful AI Projections builds accurate baselines automatically from your data, so forecasts reflect real performance patterns, not static assumptions.

What you can do with Planful

Catch errors before they change decisions

Signals analyzes your financial data against up to two years of history, including trends and seasonality. When something looks off, it surfaces what changed and why, so your team can investigate with context.

Forecast baselines tuned to your data

Projections uses machine learning to build baselines that reflect your organization's actual patterns across revenue, expenses, headcount, and more. ALGO mode automatically selects the best-fit model for each account, region, or department.

See the risks that deserve your attention first

Signals sorts anomalies by risk level automatically, from data entry mistakes to currency fluctuations. The highest-priority issues rise to the top so your team spends time where it matters.

Model scenarios without rebuilding the mechanics

Projections lets you test assumptions side by side and adjust by percentage or value. Whether you're modeling a hiring plan change or a shift in revenue expectations, the impact shows up immediately, with guardrails that keep plans realistic.

Why teams love it

Earlier visibility into the risks that matter

Finance teams reviewing close results face the same exposure every period: an error that made it through because no one had time to check every line. Signals continuously monitors your financial data and flags numbers that fall outside expected ranges, calibrated to your own historical patterns. When something looks wrong, your team gets an alert with the context to investigate and resolve quickly. Issues get resolved before they affect reporting.

Less time checking numbers, more time using them

Finance teams spend a disproportionate amount of budget season validating inputs and building the baseline. That’s time that doesn’t go toward guidance, scenario modeling, or decision support. Projections builds accurate baselines automatically from your historical data, so the starting point is already validated. Teams get to the analysis that actually moves decisions forward.

Forecasts that reflect what your business actually does

When a new forecast goes to leadership, the question is always whether the assumptions hold up. Signals compares new inputs against historical trends and surfaces deviations before the plan is finalized. If an expense assumption is out of range or a headcount ramp looks inconsistent with past patterns, your team sees it in time to address it.

Get started with Planful AI Signals and Projections

Catch the anomaly before it becomes the problem. Planful surfaces risks early and builds forecasts from your data so your team can act, not just react.