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Watch the Technical Demo (5 min)
In this video, we dive into the mathematical and strategic core of CFO Sentinel, comparing its two fundamental calculation engines for corporate treasury management.
When facing complex cash flows, a Chief Financial Officer must make crucial decisions: is it better to use incoming cash to immediately pay down debt, or keep it in the bank to ensure survival in the coming months?
Discover how CFO Sentinel answers this question by simulating two diametrically opposed scenarios:
🛡️ 1. Runway Simulation (Liquidity Buffer Logic)
A "survival" engine that prioritizes safety. It retains liquidity in cash reserves to push the risk of default as far away as possible and ensure coverage of future requirements. This conservative scenario reveals the true cost of risk (higher financial charges due to prolonged debt exposure).
⚡ 2. Optimization Simulation (Cash Sweeping Logic)
An engine of "pure efficiency". It instantly uses every cash inflow to sweep down bank exposure (starting with the most expensive credit lines). An ideal scenario that demonstrates the maximum achievable savings by drastically reducing the days of utilization and peak exposure.
Through an analysis of daily debt exposure and days spent at peak utilization, we will see how using these two dashboards together allows you to find the perfect balance between cost savings and corporate financial security.
TOTAL PRIVACY
Your data is only used to generate the report and is automatically deleted. Our process requires the complete anonymization of all counterparties
DETERMINISTIC PRECISION
DETERMINISTIC PRECISION
The CFO Sentinel calculation engine and the simulations presented are supported by advanced algorithmic logic and Artificial Intelligence to ensure maximum precision in financial data analysis.
STRATEGIC ANALYSIS
STRATEGIC ANALYSIS
Not just passive reports. The system optimizes the use of credit lines day by day to reduce variable costs and commissions.
Absolute Reliability
Absolute Reliability
General-purpose AI isn't enough. For critical business applications, where a mistake can be costly, you need a solution designed for absolute reliability.
General-purpose AI isn't enough. For critical business applications, where a mistake can be costly, you need a solution designed for absolute reliability.
After an intense development journey, I'm excited to share the architecture of an AI system that does just that. We didn't just use an LLM "engine"; we built a deterministic "framework" that governs it.
After an intense development journey, I'm excited to share the architecture of an AI system that does just that. We didn't just use an LLM "engine"; we built a deterministic "framework" that governs it.
The result is a financial AI agent with unique capabilities.
The result is a financial AI agent with unique capabilities.
Privacy and Security: The Pillars of Our Architecture
In a world where data is the most precious asset, we designed our AI system with two non-negotiable principles: the complete privacy of your data and the intrinsic security of the code.
Security is built directly into our core process. Before any predictive modeling takes place, we require or automatically apply the complete anonymization of all counterparties. Our system does not read, process, or transmit the actual names of your clients or vendors to any external AI servers. We work exclusively with pure financial volumes and generic identifiers (e.g., 'Vendor A'). For your company, the risk of sensitive data exposure is absolute zero.
Security by Design: An Attack-Proof Architecture
The reliability of our system lies not only in its results, but also in its architecture, designed to neutralize the most common vulnerabilities of AI systems.
🛡️ Code Injection Immunity: Our calculation "Executor" uses a sandbox environment that can only perform mathematical operations. It is impossible for an attacker to trick the AI into generating malicious code to delete files or damage the server.
🛡️ Code Injection Immunity: Our calculation "Executor" uses a sandbox environment that can only perform mathematical operations. It is impossible for an attacker to trick the AI into generating malicious code to delete files or damage the server.
🛡️ SQL Injection Immunity: For critical tasks, our "Builder" doesn't trust the AI to generate queries. It uses secure parameterized queries, a method that structurally prevents any attempt to manipulate the database.
🛡️ SQL Injection Immunity: For critical tasks, our "Builder" doesn't trust the AI to generate queries. It uses secure parameterized queries, a method that structurally prevents any attempt to manipulate the database.
🛡️ Prompt Injection Resistance: For the most important operations, the system completely ignores the plan generated by the AI and builds it from scratch. This renders any attempt to "trick" the AI with malicious instructions ineffective: the deterministic "Frame" will always have the final say.
🛡️ Prompt Injection Resistance: For the most important operations, the system completely ignores the plan generated by the AI and builds it from scratch. This renders any attempt to "trick" the AI with malicious instructions ineffective: the deterministic "Frame" will always have the final say.
"Request a free demo and see how much you could optimize your cash flow management."
"Request a free demo and see how much you could optimize your cash flow management."
Starting from your raw data exported to Excel, you can create your CFO Sentinel report.
Starting from your raw data exported to Excel, you can create your CFO Sentinel report.
✉️ For demos and customized reports: info@francescofoisconsulenteai.com
✉️ For demos and customized reports: info@francescofoisconsulenteai.com
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