Features built for liquidity clarity
Every module in FOLIO is designed around one question: where is cash trapped, and what will it take to move it? Explore the capabilities that power that answer.
Four pillars of the FOLIO platform
Each pillar addresses a distinct layer of liquidity risk — from raw data ingestion to forward-looking scenario testing — so nothing about your cash position stays opaque.
Predictive Cash-Flow Modelling
Historical and live transaction data feed models that forecast short- and medium-term liquidity positions, flagging gaps before they become shortfalls.
Real-Time Risk Scoring
Counterparty and portfolio exposure are continuously re-scored as new data arrives, giving a current risk picture instead of a stale quarterly snapshot.
Scenario Simulation
Stress-test rate shifts, payment delays, or demand shocks against your actual structure to see how liquidity reserves would hold up before conditions change.
Structured Reporting
Findings are compiled into clear, exportable reports built for internal review or presentation to lenders, partners, and decision-makers.
Modules operate on a shared data layer, so a change surfaced in cash-flow modelling is immediately reflected in risk scoring and scenario outputs — no manual reconciliation between tools.
Analysis that follows a consistent method
Rather than generic dashboards, FOLIO applies a defined analytical sequence: data intake, normalization, model scoring, and scenario review. The same structure runs for every engagement, which keeps results comparable over time.
Inputs are processed within defined access boundaries and used solely to generate your liquidity analysis — not shared for unrelated purposes.
From raw data to decision-ready insight
The underlying engine runs the same three steps regardless of business size or sector, adapting its parameters to the data it receives.
Ingest & Normalize
Transaction records, receivables, and payment histories are consolidated into a single, comparable dataset.
Model & Score
Predictive models estimate near-term cash positions while risk scoring highlights where exposure is concentrated.
Simulate & Report
Scenarios are run against the scored model, and findings are packaged into a clear report ready for review.
Because each step references the same underlying dataset, updates propagate automatically — a revised cash-flow assumption adjusts risk scores and scenario outcomes without a separate re-run.
What each feature means in practice
See cash gaps before they affect operations
Predictive modelling flags projected shortfalls weeks ahead, giving teams time to adjust payment timing, draw on reserves, or renegotiate terms rather than reacting after the fact.
Illustrative output pattern — actual figures depend on submitted data.
Compare opportunities on consistent risk terms
Because every analysis runs through the same scoring framework, portfolios and prospects can be evaluated side by side instead of relying on inconsistent, self-reported figures.
Simulated comparison for illustrative purposes only.
Bring one report, not five spreadsheets
Structured reporting consolidates modelling, scoring, and scenario outputs into a single document suitable for internal sign-off or external discussion with lenders and partners.
Representative structure of a generated report summary.
See these features applied to your own data
Start an analysis to view how predictive modelling, risk scoring, and scenario simulation apply to your specific liquidity position.
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