FINANCE INTELLIGENCE● Production

Your CFO Is Making $50M Decisions With Lagging Data That Is 30 Days Old.

Flowtaris AI delivers real-time cash flow forecasting, vendor risk scoring, and spend anomaly detection — giving your finance leadership the signals they need before problems become crises.

See Live Demo Read the ROI Analysis
94%
Forecast Accuracy
90-day rolling cash flow prediction
12 days
Early Warning Lead Time
average before cash position crisis
3.2%
Spend Reduction
from anomaly detection program
$8M+
Fraud Prevented
across production customer base in 2024
THE INTELLIGENCE GAP

ERP systems are the world's best record-keeping tools. They're terrible forecasting tools.

Every Fortune 500 CFO has the same problem: their ERP is a perfect ledger of what happened. It tells you almost nothing about what's about to happen.

Cash flow forecasting still happens in Excel. Vendor risk is assessed annually by a consultant. Spend anomaly detection means an AP clerk reviewing 400 transactions manually every Monday morning.

Flowtaris Predictive Analytics changes the intelligence layer above your ERP. Instead of reports about the past, your finance leadership gets signals about the future — delivered in real time, actionable in seconds.

30 days
behind. That's how old your ERP reports are when your CFO reads them. Decisions made on stale data cost companies millions.
Flowtaris AI benchmark · 200+ enterprise deployments
HOW IT WORKS

From day one to fully operational.

1
LAYER 01 — CASH FLOW FORECASTING

See your 90-day cash position with 94% accuracy. Updated every hour.

Flowtaris connects to your AR, AP, payroll, and treasury systems in real time. Our forecasting model combines historical payment patterns, open invoice data, committed spend, and macroeconomic signals to produce a rolling 90-day cash flow forecast — updated hourly, not monthly.

Every forecast comes with a confidence band and the specific variables driving uncertainty, so your treasury team knows exactly where to focus.

  • 90-day rolling forecast updated every hour
  • Scenario modeling: best case, base case, stress case
  • Drill down to entity, cost center, or GL account level
  • Integrates payroll, AR, AP, and committed spend
Real-time cash flow forecasting dashboard with 90-day projection
94%Forecast Accuracy
12 daysEarly Warning Lead Time
2
LAYER 02 — VENDOR RISK SCORING

Know which vendors are about to become a problem before they do.

Flowtaris scores every vendor in your master list on financial stability, payment behavior, concentration risk, and geopolitical exposure — updated quarterly from public financial data and your private transaction history.

When a vendor's risk score drops sharply, your procurement team gets an alert 30–90 days before the vendor stops delivering or requests extraordinary payment terms.

  • Scores 99+ financial stability indicators per vendor
  • Concentration risk alerts when single vendor >15% of spend
  • Payment behavior trending — detect early signs of distress
  • Geopolitical and supply chain exposure flagging
Vendor risk scoring heatmap and alert system
3.2%Spend Reduction
$8M+Fraud Prevented
3
LAYER 03 — SPEND ANOMALY DETECTION

The fraud your AP team will never catch manually. Flowtaris catches it automatically.

Flowtaris runs a continuous anomaly detection model across every transaction — not just daily batch reports. Duplicate invoices, split transactions designed to stay under approval thresholds, unusual weekend spend patterns, and vendors with newly registered bank accounts are all detected and escalated within minutes of the transaction occurring.

  • Real-time duplicate detection with fuzzy matching
  • Threshold-splitting detection (intentional under-approval)
  • Statistical baseline per vendor, category, cost center
  • Integrates with ServiceNow and Jira for investigation workflow
Spend anomaly detection and fraud alert panel
TECHNICAL ARCHITECTURE

Enterprise-grade from the ground up.

ComponentTechnology
Forecast ModelTemporal Fusion Transformer (TFT)
Risk EngineEnsemble ML + external data feeds
Anomaly DetectionIsolation Forest + LLM Reasoning
Data PipelineReal-time CDC + event streaming

Connects to the stack you already run.

No rip-and-replace. No new modules. Flowtaris layers on top of your existing ERP investment.

NetSuiteCoupaSAPWorkdayTableauPower BILookerSnowflakeDatabricksBloomberg Terminal
FAQ

The questions your board will ask. Answered.

How accurate is the 90-day cash flow forecast, really?
Our production average is 94.2% accuracy at the 90-day horizon, measured as MAPE (Mean Absolute Percentage Error) against actual cash position outcomes. Accuracy increases to 97.8% at the 30-day horizon. These figures are measured across our live customer base, not cherry-picked pilot scenarios. We publish a monthly accuracy report to all customers as part of the standard dashboard.
Our ERP data quality is poor. Will this still work?
Flowtaris includes a data quality assessment as part of the onboarding process. In our experience, approximately 60% of customers have some data quality issues that affect forecast accuracy — most commonly inconsistent vendor master data, missing GL codes, or unbilled accruals. We provide a data remediation playbook and can work with your ERP team to fix the highest-impact issues before go-live.
How does the anomaly detection avoid false positives that waste analyst time?
We tune the anomaly threshold during onboarding based on your historical exception rate and analyst capacity. The model learns from feedback — when an analyst marks a flagged transaction as "not anomalous," that signal is used to refine the model. In production, our false positive rate runs at 2.8% — meaning 97.2% of flagged anomalies result in real findings or confirmed investigation.
Can we use the forecasting data in our existing BI tool (Tableau, Power BI)?
Yes. Flowtaris exposes a REST API and direct Snowflake/BigQuery connector for all forecast outputs. Most customers connect their existing BI tool within 1-2 days of go-live. We also provide a native dashboard for customers who don't want to manage a separate BI integration.
How does vendor risk scoring work and what data does it use?
The vendor risk model combines five data categories: (1) your private transaction history with the vendor, (2) public financial data from company registrations and credit bureaus, (3) news and sentiment signals from financial news APIs, (4) supply chain exposure data from Dun & Bradstreet and similar, and (5) geopolitical risk indices from Oxford Analytica. Each vendor receives a composite score from 0-100 updated quarterly, with real-time alerts on material changes.
What is the implementation timeline and data requirements?
The forecasting module goes live in 4-6 weeks. Week 1-2: data extraction from your ERP and 24-36 months of historical transaction data. Week 3-4: model training and initial forecast validation. Week 5-6: dashboard configuration, user training, and go-live. We require at minimum 12 months of historical AP/AR data for the forecast model to be statistically meaningful.

Related Capabilities

DOCUMENT PROCESSING
GenAI Document Intelligence
Explore
RISK & COMPLIANCE
AI Governance & Compliance
Explore

What would your CFO do with 90-day cash visibility updated every hour?

Book a 30-minute demo and we'll show you a live forecast built on anonymized data from a company your size in your industry.

See Live Demo Read the ROI Analysis
Flowtaris AICapabilitiesPredictive Analytics