Mavorenal AI platform for corporate treasury analysis
AI platform for Corporate Treasury

Fixed liquidity costs money. Historical analysis helps to use it methodically.

Mavorenal analyzes cash flows in real time, applies predictive models and backtests each strategy on past cycles of rates, inflation and volatility. Thus the entrepreneur evaluates historical behavior before deciding.

Analytical evaluation, without operational constraints. The firm maintains full custody and control of the funds.

The Cost of Idle Liquidity

Full corporate accounts, fragmented treasury decisions

Many Italian SMEs maintain high reserves in their current accounts out of prudence. Without an analytical framework, the choice oscillates between inaction and extemporaneous allocations.

Inflation erodes purchasing power of the stock even when the nominal balance remains unchanged. Over 6, 12 or 18 month horizons, the opportunity cost becomes measurable.

Treasury decisions are often reactive and undocumented: tax provisions, supplier advances and seasonality of working capital overlap without a clear mapping of real needs.

Mavorenal introduces data-driven decision optimization: distinguishes operating reserve from actual surplus and quantifies historical risk before any allocation.

SizeFirm liquidityTraditional allocationMavorenal Predictive Optimization
Operational requirementEstimated by feelBased on average balanceForecast of flows and working capital
Risk assessmentNot carried outBased on expected returnBacktest on rate shocks, inflation and volatility
Horizon and liquidityNot definedGeneric deadlinesExplicit time-to-cash and drawdown thresholds
MonitoringAccount statementPeriodic inspectionAI recalibration and automatic alerts
Control risk before return. Each scenario defines volatility cap, maximum drawdown threshold and availability horizon. Preservation of operating capital remains the primary constraint; yield optimization applies only to the verified surplus.
Backtest Engine

Strategies validated on multi-decade historical series

Mavorenal does not propose allocations based on precise forecasts. Each model is re-run on documented historical regimes to observe how it would perform under stressful conditions.

1

Macro data ingestion and cash flows

Continuous acquisition of market data, rate curves and inflation indicators, integrated with the seasonality of business flows and working capital needs.

2

Stress test on historical scenarios

Simulation of the strategy on rate increases, inflation peaks and volatility phases. Output in terms of observed historical behavior, not performance promises.

3

Calibrated operational recommendation

Readable summary for entrepreneurs and CFOs: allocable quota, coherent horizon, risk parameters and review conditions. Final decision always up to the company.

Volatility cap. Explicit limit of oscillation accepted for each treasury profile, differentiated by 6, 12 and 18 month horizon.
Maximum drawdown thresholds. Temporary maximum loss tolerated before a review signal. Once the threshold is exceeded, the platform proposes a recalibration.
Time-to-cash parameters. Estimate of the liquidity of each component: in how many days the portion can become available again for operational or fiscal needs.
Methodological traceability. Each simulation reports the historical period covered, applied hypotheses and model limits, for a verifiable evaluation.
Platform

Decision architecture for entrepreneurs and CFOs

Three distinct analytical modules, which can also be consulted separately. Designed for those who manage the cash directly, without complex internal financial structures.

◈

Predictive Flow Mapping

Analyze collections, recurring payments, tax deadlines and seasonality. Estimate the working capital requirement so as to isolate only the surplus that can actually be allocated.

Input: company extracts and schedules · Output: operating reserve vs. surplus
⬣

Multi-Scenario Backtesting Engine

Test each strategy for historical rate shocks and inflation cycles. It returns observed behavior, distribution of results and sensitivity to regime changes.

Input: horizon and tolerance · Output: comparable historical data sheet
◎

Real-Time Risk Monitoring

Continuous recalibration of parameters and automatic alerts when thresholds are exceeded. The dashboard indicates when to review the allocation, with documented justification.

Input: set thresholds · Output: alert and revision proposal
Why Mavorenal

Decision intelligence, not asset management

Mavorenal is analysis and decision support software. It does not hold funds, does not execute orders independently, does not replace the consultant. It provides structured historical evidence so that the decision remains with the entrepreneur.

  • Operational language, designed for owners and administrative managers
  • Integration with existing accounting data, without complex migrations
  • Reports can be exported and shared with external accountants and CFOs
Learn more about who we are Advantages of the method
Mavorenal team for analysis and review of treasury predictive models
Use cases

Application scenarios for small and medium-sized businesses

Typical operational situations of the treasury of an SME. Each scenario describes constraints, horizon and applied analysis logic.

Methodological examples based on real operating parameters — no performance promises

1. 6-month tax reserve

Short horizon · Low volatility

Service company with advance payments and tax balances concentrated in two deadlines. Absolute priority on the availability of capital on the scheduled dates.

Main constraint
Full availability upon expiry, time-to-cash less than 5 working days.
Mavorenal Logic
Backtest on phases of short-term interest rate increases; allocation only to highly liquid instruments with limited volatility caps.

2. Provision for industrial investments 12–18 months

Medium horizon · Controlled drawdown

Machine shop setting aside for a machine. The purchase date is flexible within a quarter, but the capital must remain substantially preserved.

Main constraint
Explicit drawdown threshold and quarterly review based on inflation and cost of credit.
Mavorenal Logic
Balanced predictive allocation, tested on historical inflation cycles; automatic alert if volatility exceeds the set profile.

3. Structural liquidity buffer

Continuous · Gradual optimization

Commercial company with regular flows and permanent reserve equal to three months' costs. Objective to contain erosion without compromising operations.

Main constraint
Permanent separation between operational stock and surplus; continuous monitoring.
Mavorenal Logic
Progressive optimization of the surplus with automatic macro signals and monthly reports for the owner and accountant.
Methodology and Governance

Operational questions, verifiable answers

Mavorenal is a software, the decision remains with the company

Mavorenal is a decision intelligence platform for treasury. The entrepreneur maintains full custody of the funds in his accounts and full control over each allocation.

The platform does not move money independently and does not require operational delegations. It produces analyses, backtest simulations and monitoring thresholds that the owner can share with their trusted advisors.

Technical documentation available for external CFOs and professional firms, with details on data sources, hypotheses and model limitations.

Request technical documentation
How does backtesting work in practice?

Each strategy is re-executed on historical market data — rate changes, inflation, volatility — to observe distribution of results, drawdowns and recovery times. The report indicates the period covered, hypotheses and limits, so the result is interpretable and comparable.

How are company data processed?

Accounting and flow data are used exclusively for the required analysis, with limited access and minimal retention. It is possible to operate on anonymized or aggregated extracts for the first evaluation simulation.

Does it integrate with existing business accounts?

Yes. The platform works on standard statements and schedules, without replacing home banking or management. No account migration or bank change is required.

What happens if the time horizon changes?

The analysis is recalibrated: a tax advance or a postponed investment changes allocable surplus and thresholds. The system signals when the actual horizon is no longer consistent with the existing allocation.

How do you mitigate the risk of bias in models?

We separate calibration data and verification data, test on different regimes, and document hypotheses. Models that only work in a single historical cycle are discarded or downgraded in the robustness score.

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Personalized evaluation

Evaluate your business liquidity potential with verifiable historical data

Configure a simulation calibrated on the employment horizon and risk tolerance. You will receive a methodological sheet with observed historical behavior and control parameters.

What the simulation includes

  • Estimate of the allocable surplus compared to operational needs
  • Backtest on rate and inflation scenarios consistent with your horizon
  • Drawdown, volatility and time-to-cash thresholds explained
  • Summary can be shared with accountant or CFO

Non-binding analysis, without allocation commitment. No movement of funds required.

By sending the request you agree to be contacted for analytical purposes. No data transferred to third parties, no automatic activation. Complete information on the privacy and terms pages.