Institutional Decision Governance Engine (IDGE)
Institutional Adaptation Layer
- Identify institution type: Bank / Hospital / University / Company / Government entity
- Define core operational model
- Set financial complexity level
- Adjust institutional indicators and context
- Convert raw data into a unified model
Financial Data Input Layer
- Daily entries: Sales, collections, expenses, supplier payments, client transactions
- Aggregated financial reports: Income statement, balance sheet, cash flow, aging report
Data Validation Layer
- Completeness of entries and reports
- Accuracy of formulas and numbers
- Detect duplicate or incorrect data
- Ensure data type consistency
Financial Reality Integration Layer
- Match actual cash flows with recorded ones
- Assess actual assets and inventory
- Identify real financial obligations
- Integrate external data: market prices, costs, interest rates
- Evaluate real-world risks
Direct Financial Impact Engine
- Actual liquidity
- Real cash flow
- Profitability quality (cash vs accounting)
- Daily financial discipline
Core Diagnostic Engine
- Diagnose root problem (Liquidity / Collection / Profitability / Operational)
- Lock diagnosis to prevent duplicate analysis
Decision Support Indicators Layer
- Liquidity trend (Improving / Declining / Stable)
- Cash profit vs accounting profit gap
- Percentage of overdue clients
- Expenses-to-revenue ratio
Risk Classification & Institutional Context Engine
- Type of activity
- Company or institution stage
- Collection or operational model
- Risk level: Low / Medium / High
Executive Decision Generation Engine
- Mandatory Executive Decision
- Only 1 decision
- Type: Financial / Operational / Regulatory
- Non-deferrable, risk-driven
- Supportive Decisions
- 0–2 decisions
- Enable implementation of the mandatory decision
- Optimization Recommendations
- 0–2 recommendations
- Optional improvements for performance
- Mandatory Executive Decision
Operational Risk Management Layer
- Identify type of risk
- Assess exposure level
- Define mitigation measures: Immediate action / Continuous monitoring
Executive Governance Layer
- Identify decision owner
- Review cycle
- Escalation conditions to the board
Execution & Monitoring Layer
- Track decision implementation
- Measure impact
- Ensure compliance
- Feed results back into the system
Strategic Impact Layer
- Decision stability
- Risk containment
- Governance maturity
- Institutional continuity
- Long-term value protection
Automated Digital Transaction Layer (MNEE)
- Execute mandatory executive decisions digitally
- Conditional execution (e.g., sufficient liquidity, compliance checks)
- Pay invoices, salaries, transfers automatically
- Integrate with stablecoins or blockchain for secure execution
- Log all transactions for auditing and monitoring
The engine is designed to be scalable, allowing the addition of new institutions, extra performance indicators, or integration with different financial systems, enabling its expansion to cover all types of organizations and companies easily without modifying the core architecture.
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