Defensible Decisions, Not Just Predictions
We are building the governed decision, AI modeling, and compliance engine that moves organizations beyond AI black boxes, dashboards, and predictions into executed, traceable decisions with full governance, auditability, and AI agent control.
Our Mission
To bring governance, traceability, and intelligence to every decision that shapes an organization. We believe defensible, in-scope decisions, not just analysis, determine long-term success.
Our Vision
A world where every high-stakes business decision is modeled with rigor, governed by policy, executed with traceability, and measured against outcomes, eliminating AI black boxes and unaccountable choices.
Why We Built DecisionLedger
Every organization makes thousands of decisions each year. Some shape strategy. Others allocate millions in capital. A few determine whether a company survives a regulatory audit. Yet most of these decisions happen in spreadsheets, email threads, and meetings with no structured analysis, no governance trail, and no way to learn from outcomes.
We saw a gap between the promise of AI—powerful predictions and pattern recognition—and what regulated enterprises actually need: defensible decisions backed by rigorous methodology, policy guardrails, and an immutable record of who decided what, when, and why. Predictions alone don't satisfy auditors, boards, or regulators. Evidence does.
DecisionLedger was founded to close that gap. We built the platform we wished existed: one where every model run produces auditable evidence, every decision flows through governed stages, and every outcome is tracked so organizations get measurably better at the decisions that matter most.
Why Decisions Fail
Unstructured decisions cost enterprises millions every year. Without rigorous frameworks, organizations rely on intuition, incomplete data, and processes that leave no trail for learning or accountability.
72%
of executives say poor decisions cost more than poor execution
$250M
wasted per Fortune 500 company annually on ineffective decisions (McKinsey, 2019)
60%
of decisions are never revisited or audited after being made
How It Works
Three steps to a governed decision
Create a Decision
Define the decision, its context, stakeholders, and constraints. The platform assigns a lifecycle stage and governance track.
Run a Model
Choose from 156+ models spanning MCDA, Monte Carlo, Bayesian inference, cost-benefit, and more. Feed in your data and get scored results.
Get a Defensible Outcome
Every output includes an audit trail, reasoning structure, confidence intervals, and compliance evidence. Close the loop with outcome tracking.
Our Approach
Three pillars that turn decision-making from an art into an engineered discipline.
AI Modeling & Decision Science
156+ models with 14 mathematical methods including MCDA, Bayesian inference, Monte Carlo, and linear programming. Every output shows the reasoning structure, not a black box.
Governance, Policy & Compliance
Patent PendingGovernance gates, policy guardrails, committee review, and AI agent cost tracking. Every input, output, override, and approval is captured in an immutable audit trail.
Enterprise Security & Control
Patent PendingSOC 2 aligned with AES-256 encryption, tenant isolation, row-level security, agent registry with kill switches, zero data egress AI via AWS Bedrock, and compliance evidence packages for auditors.
Technology Leadership
DecisionLedger's core innovations are protected by 16 USPTO provisional patent filings spanning governance, security, AI evaluation, and protocol-level innovation.
Governance & Policy
Policy-Based Governance Gating, Guardrail Enforcement, Domain Classification Guardrails
Security & Privacy
Plugin Trust Verification, MCP Data Boundary Enforcement, Privilege Preservation
AI Evaluation & Safety
AI Evaluator Calibration, Fairness Compliance, Drift Monitoring
MCP Protocol
MCP Governed Agent Gateway, OAuth Identity Bridge, Tool Composition Governance
Decision Intelligence
Multi-Tenant Decision Intelligence Platform, Decision Integrity Chain
By the Numbers
156+
Decision Models
14
Decision Methods
7
Lifecycle Stages
12+
Integrations
What We Stand For
The principles that guide every feature we build and every decision we help our customers make.
Transparency
Every decision is traceable and explainable.
Rigor
Mathematical frameworks over gut feel.
Security
Enterprise-grade protection by default.
Accessibility
Powerful tools that anyone can use.
Industries
Built for regulated industries
When decisions require evidence, governance, and auditability.
Healthcare
Decision modeling for clinical operations, resource allocation, and compliance reporting. HIPAA compliance available on Enterprise.
Financial Services
Credit risk, portfolio optimization, and regulatory capital modeling with full audit trails.
Government
Budget allocation, policy impact analysis, and transparent decision records for public accountability.
Manufacturing
Supply chain risk, demand planning, vendor scorecards, and quality control decisions.
Insurance
Claims triage, underwriting models, fraud detection, and actuarial scenario analysis.
Legal
Case strategy scoring, settlement analysis, matter budgeting, and compliance evidence.
"We built DecisionLedger because every organization deserves a decision engine that is auditable, governed, and grounded in real data — not gut instinct. Every model run produces evidence you can defend."
Ryan Brush
Founder & CEO, DecisionLedger AI
FAQ