Models & Methods

DecisionLedger AI ships with over 156+ pre-built decision models spanning HR, finance, operations, risk, M&A, and sales — all powered by 14 proven mathematical frameworks.

Decision Methods

Each model is built on one of these mathematical frameworks. The method determines how inputs are scored, uncertainties are quantified, and recommendations are generated.

Method	When to Use
Weighted Sum (MCDA) Simple additive scoring of alternatives against weighted criteria	Simple additive scoring of alternatives against weighted criteria
TOPSIS Rank alternatives by geometric distance to the ideal solution	Rank alternatives by geometric distance to the ideal solution
AHP Derive consistent weights from pairwise comparison matrices	Derive consistent weights from pairwise comparison matrices
Bayesian Expected Utility Optimal actions under uncertainty using prior probability distributions	Optimal actions under uncertainty using prior probability distributions
Cost-Benefit (NPV) Investment go/no-go using discounted cash flow analysis	Investment go/no-go using discounted cash flow analysis
Risk Matrix Likelihood × impact scoring for risk identification and prioritization	Likelihood × impact scoring for risk identification and prioritization
Linear Programming Optimal resource allocation subject to constraints	Optimal resource allocation subject to constraints
Portfolio Optimization Markowitz mean-variance frontier for portfolio allocation	Markowitz mean-variance frontier for portfolio allocation
Monte Carlo Simulation Stochastic uncertainty quantification over thousands of trials	Stochastic uncertainty quantification over thousands of trials
Scenario Modeling What-if projections across base, optimistic, and pessimistic cases	What-if projections across base, optimistic, and pessimistic cases
Decision Tree Sequential decisions with chance nodes and expected-value rollback	Sequential decisions with chance nodes and expected-value rollback
Stress Testing Extreme-scenario resilience analysis for risk management	Extreme-scenario resilience analysis for risk management
Clustering k-means and hierarchical segmentation for grouping analysis	k-means and hierarchical segmentation for grouping analysis
Anomaly Detection Isolation forest and control charts for monitoring and alerting	Isolation forest and control charts for monitoring and alerting

Model Catalog by Domain

Browse models organized by business domain. Each model includes guided input forms, structured output schemas, KPI extraction, and AI-generated narrative analysis.

Human Resources

40+ models

Attrition risk, pay equity, workforce planning, succession readiness

Finance & FP&A

30+ models

Cash flow forecasting, budget variance, revenue recognition, tax optimization

Operations

20+ models

Inventory optimization, demand planning, logistics routing, facility utilization

Risk & Governance

20+ models

Regulatory exposure, control effectiveness, fraud detection, compliance radar

M&A

15+ models

Quality of earnings, synergy valuation, Day 1 readiness, people risk retention

Sales & GTM

15+ models

Pipeline forecasting, win propensity, deal quality scoring, pricing guardrails

Benefits & Healthcare

20+ models

Plan cost forecasting, pharmacy utilization, telehealth ROI, stop-loss optimization

Input & Output Schemas

Inputs

• JSON Schema-validated with type checking and range constraints
• Guided form UI with contextual help text for each field
• Spreadsheet upload with automatic column mapping
• Integration connectors for HRIS, ERP, and BI systems
• PII scanning with automatic redaction before storage

Outputs

• Structured metrics with KPI metadata and benchmark comparisons
• Decision structure (scored alternatives, rankings, confidence intervals)
• AI-generated narrative explaining results in plain language
• Risk flags and actionable recommendations
• Exportable to PDF, CSV, and API

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