Sente Mérévonce - treasury analysis dashboard driven by artificial intelligence
Predictive intelligence applied to treasury

An AI model that monitors and protects your capital between missions

Sente Mérévonce continuously analyzes your freelance cash flow and automatically adjusts the risk exposure of your available capital, without daily manual intervention.

Irregular income exposes capital to decisions made under pressure

A freelancer's income varies from month to month, often markedly. Between two missions, the available capital frequently remains unused in a current account, or placed urgently without prior risk analysis.

This irregularity makes it difficult to apply consistent management discipline. Investment decisions are then made on an ad hoc basis, without a stable analytical framework to evaluate them over time.

Sente Mérévonce – visualization of continuous cash flow analysis

Three coordinated functions to evaluate, filter and execute

The system is based on a predictive model trained on market data and the cash flow profile of each user, with a constant objective: limiting exposure to risk before seeking return.

Predictive analysis of available capital

The model estimates the share of capital that can be exposed without compromising short-term cash flow needs, taking into account the seasonality of the activity.

Continuous risk mitigation

A monitoring module adjusts the allocation based on observed volatility, reducing exposure as soon as defined risk thresholds are approached.

Automated cash flow optimization

Identified surpluses are reallocated according to rules set in advance, without requiring manual arbitration repeated each month.

Architecture: The models combine cash flow time series, consolidated market data and regularly revised risk management rules, without relying on a single indicator.

Verifiable decision logic at each stage

Each recommendation results from an identifiable sequence of treatments, which can be consulted a posteriori, rather than from an opaque calculation.

01

Data ingestion

Cash movements and declared maturities are collected and consolidated in a structured history, updated with each transaction.

02

Risk filtering

Each allocation scenario is confronted with criteria of volatility and minimum liquidity before being selected as a viable option.

03

Optimized execution

The final proposal is applied according to the parameters validated by the user, with a report detailing the criteria selected.

Three freelance profiles, three allocation logics

The settings vary depending on the nature of the activity and the regularity of the income declared.

Preservation of capital between two contracts

For an IT consultant whose missions follow one another with sometimes long intervals, the configuration favors the liquidity available over a three-month horizon.

  • Risk threshold set at a conservative level by default
  • Cash reserve identified and excluded from any allocation
  • Automatic revaluation after each invoice collection

Acceleration of growth on excess capital

For a creative profile with higher one-off income, a share identified as surplus may be exposed to a longer horizon.

  • Segmentation between operational cash flow and exposed capital
  • Dynamic adjustment according to the irregularity of collections
  • Monthly report detailing deviations from the initial scenario

Passive reinvestment of the margins generated

For a consulting activity with more stable income, unallocated margins can be reinvested according to a recurring rule defined in advance.

  • Reassignment rule applied without repeated manual validation
  • Consolidated monitoring of reinvested flows over the fiscal year
  • Automatic shutdown if a minimum cash flow threshold is reached

Frequently asked questions about security and model logic

These answers aim to clarify how the system actually works, without commercial formulation.

How is treasury data protected?

Data passes via encrypted connections and is stored separately by user account. Access to allocation parameters remains subject to authentication specific to each session.

Does capital remain accessible in case of urgent need?

A minimum liquidity reserve, defined by the user, is systematically excluded from any exposure. Amounts beyond this threshold can be withdrawn according to the deadlines specific to each medium used.

On what basis does the AI ​​model make its decisions?

The model is based on historical cash flow data, market indicators and explicit risk rules. Each decision is accompanied by a report indicating the criteria leading to the recommendation, which can be revised at any time.

Consider the suitability of the model for your situation

An initial analysis allows you to check whether your cash flow profile corresponds to the functioning of the system, before any actual implementation.

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