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Decision Models
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Scientific Methods
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Lifecycle Stages
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Integrations
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.
Platform
The governed decision engine for defensible decisions
Model decisions, enforce policies, govern AI agents, track costs, benchmark against market data, and close the loop with outcome tracking, all in one auditable platform.
KPI Tracking & Dashboards
Measure what matters
- Custom KPI libraries by department: HR, Finance, Ops, Sales
- Automated threshold alerts with Slack, Teams, and email notifications
- Benchmark against industry peers and internal targets
- Drill-down from KPI to root-cause decision model in one click
Goals & OKR Management
Align strategy to execution
- Cascading OKRs from company to department, team, and individual
- Auto-calculated progress from linked KPIs and model outputs
- Quarterly review workflows with scoring and retrospectives
- Visual goal trees showing alignment from C-suite to front line
Decision Analytics Engine
156+ structured decision models
- Multi-criteria scoring with weighted objectives and sensitivity analysis
- Monte Carlo simulation for uncertainty quantification
- Full audit trails with the reasoning structure behind every output
- Confidence intervals and scenario comparison side-by-side
Predictive Intelligence
See around corners
- Attrition risk scoring with survival analysis and hazard models
- Revenue and demand forecasting with Prophet and exponential smoothing
- Anomaly detection for fraud, cost overruns, and operational outliers
- Explainable AI with SHAP-powered feature importance for every prediction
Decision Lifecycle Engine
From draft to outcome
- 7-stage lifecycle with automated status transitions
- Deliberation rooms with threaded discussion and AI synthesis
- Outcome recording with prediction accuracy calibration
- Decision graph intelligence for dependencies, contradictions, and lineage
Governance & Compliance
Decisions you can defend
- Policy enforcement with JSONLogic rules that block, flag, or escalate
- Compliance packages mapped to regulatory frameworks
- Immutable audit logs with tamper-proof S3 Object Lock storage
- GRC evidence export for auditors on demand
Board Portal & Committees
Governance at the top
- Board dashboard with intelligence, documents, and compliance tabs
- AI-powered meeting minutes from committee sessions
- Committee voting workflows: approve, block, abstain, or add conditions
- ESG metrics and director independence tracking
Market Benchmarks & Peer Data
Context for every decision
- Peer benchmarks marketplace with anonymous cross-org data sharing
- Premium BYOL uploads for Mercer, Radford, and SHRM datasets
- SEC EDGAR financial ratios by industry (SIC code)
- AI-powered drift alerts when benchmarks deviate from baselines
Workflow Automation
From insight to action
- Pre-built connectors for Workday, SAP, Salesforce, and more
- Decision playbooks that chain multiple models into automated sequences
- Scheduled model runs with cron-based automation
- API-first architecture with MCP-native Claude AI integration
AI Agent Cost Tracking
Control AI spend
- Real-time token usage and estimated USD cost per agent
- Cross-agent governance summary with compliance posture
- Outcome effectiveness scoring: decisions influenced vs. actual results
- Agent registry, kill switches, and shadow mode testing
AI-Powered Recommendations
Your decision co-pilot
- Natural-language summaries of complex model outputs
- Independent AI evaluator that grades every model run
- Counterfactual exploration to replay decisions with altered inputs
- Grounded in your data and cites the decision structure, not guesswork
Enterprise Scale & Security
Built for the enterprise
- Role-based access control with multi-tier permission levels
- Multi-tenant isolation with row-level security on every table
- SSO via SAML/OIDC with Cognito, Okta, and Azure AD
- SOC 2 Type II environment on AWS with encrypted data at rest and in transit
Integrations
Connects to your existing stack
AI Governance
Control the AI agents making your decisions
EU AI Act. NIST AI RMF. SOC 2. Your board. Everyone wants to know how you govern AI-assisted decisions. DecisionLedger gives you the answer: a complete AI governance stack built into the platform. Every AI model runs entirely inside your cloud infrastructure. Your sensitive data is never sent to an outside AI provider. No data leaves your environment. No third party ever sees it.
Agent Registry & Control
Register every AI agent that touches your decisions. Set per-agent permissions, monitor activity, and suspend misbehaving agents instantly.
AI Agent Cost Tracking
Monitor token usage, estimated USD costs, and success rates for every AI agent. Cross-agent dashboards with time-series trending and per-agent breakdowns.
Kill Switch & Shadow Mode
Circuit breaker disables problematic models in one click. Shadow mode lets you test new models in production without impacting audit logs or workflows.
Governance Gates
Pre-execution policy enforcement. Define rules that must pass before any model can run. Auto-approved, pending review, or denied, with full audit trail.
Independent AI Evaluator
Every model run is independently reviewed by AI. Evaluates confidence intervals, identifies blind spots, grades output quality, and provides improvement recommendations.
Policy Guardrails
Define enforceable constraints with JSONLogic rules. Decisions that violate policy are automatically flagged, blocked, or escalated for override.
Bias Auditing & Explainability
Surface statistical bias across protected classes. SHAP waterfall plots and feature importance scores show exactly which inputs drove each recommendation.
AI Executive & Board Summaries
Auto-generated executive summaries and board-ready briefings from model outputs. AI distills complex analyses into clear narratives for leadership review.
Decision Drift Detection
Monitor whether decision quality degrades over time. Automated alerts when model outputs or market benchmarks diverge from historical baselines.
Outcome Calibration
Record actual outcomes against predictions. Measure model accuracy over time, grade effectiveness A-F, and surface when recalibration is needed.
Attorney-Client Privilege Support
Designate decisions as privileged with counsel-directed workflows, cryptographic attestation chains, and verifiable privilege logs. Built for Heppner-compliant confidentiality.
Department & Role Data Scoping
Every AI query is scoped to the user's department and role. HR in Engineering cannot see Finance compensation. Admin bypass, HRIS-synced auto-resolution, enforced identically across the assistant, MCP tools, and agent APIs.
MCP Governed Agent Gateway
External AI agents access DecisionLedger through a policy-enforcing MCP gateway. Per-agent token budgets, tool allowlists, OAuth-bridged identity, and full session audit chains. No agent runs a tool your policy doesn't permit.
Anti-Hallucination Envelope
Every AI output is reconciled against verified source facts before it enters the decision record. Unsupported claims are flagged, confidence intervals are computed mathematically, and fabricated citations are blocked at the boundary.
Committee & Board Governance
Route high-stakes decisions through formal committees or the board. Voting with attached conditions, AI-generated meeting minutes, and an immutable resolution register. Authority levels from recommend to override, all in the audit trail.
Every model run, agent action, approval decision, and policy override is recorded in an immutable, tamper-proof audit log backed by S3 Object Lock. Your decisions are defensible by default.
AI Assistant
Domain-aware AI that protects what matters
The first AI assistant that classifies conversations by regulatory domain before a single word is exchanged. Legal privilege, HIPAA, SOX/MNPI — each domain activates its own guardrails, audit trail, and document export format automatically.
Choose a conversation domain
Based on employment law precedent, the severance structure should include ADEA waiver provisions...
Every conversation knows its rules
Before the assistant generates a single token, users select a regulatory domain. That selection activates domain-specific guardrails, retention policies, watermarking, and audit events — so legal privilege stays privileged, PHI stays compliant, and MNPI stays restricted.
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Domain modes
SHA-256
Attestation
Word
Domain-aware export
Legal Privilege Protection
SHA-256 attestation, work-product watermark, litigation hold, counsel sub-form, and exportable privilege logs. Built for Heppner-compliant confidentiality.
Healthcare / HIPAA Mode
PHI-aware conversations with 6-year retention, strict PII redaction, and HIPAA §164.312(b) audit events generated for every interaction.
Financial / MNPI Guardrails
Material non-public information handling, SOX audit trail, insider-list tracking, and restricted-distribution watermarks on every export.
Compliance Evidence Chain
Tie every conversation to SOX, GDPR, HIPAA, or EU AI Act frameworks. Every response becomes linkable, defensible evidence.
Domain-Aware Document Export
Download conversations as Word documents with domain-specific headers, footers, watermarks, and privilege designations baked in.
Drift Classification
Real-time classifier detects when conversation content drifts outside the selected domain, alerting users before sensitive data is misrouted.
Heppner Privilege Preservation technology — U.S. Provisional Patent Application No. 64034271. Domain classification, attestation chains, and privilege-aware document export are patent-pending.
Attrition Risk by Dept
Pay Equity
Flight Risk
0.0%
Succession
0%
Workforce Intelligence
Attrition risk scoring, pay equity analysis, succession readiness, headcount planning — all from a single platform. Pre-built models for CHROs and HR leaders.
Disparate Impact Ratios
4/5 thresholdCompliance
0%
Auto Audit
Automated Fairness Monitoring
Every HR model is automatically audited for adverse impact across gender, race, age, and other protected classes — on a weekly cadence, with zero manual effort. When a model breaches the four-fifths rule, the platform flags it, notifies administrators, and can auto-pause the model until reviewed. Stay ahead of EEOC, OFCCP, and NYC LL144 compliance requirements with continuous monitoring built into every decision.
Budget vs Actual ($k)
Cash Flow Trend ($k)
Variance
-0.0%
Runway
0 mo
Financial Decision Support
Budget variance attribution, cash flow forecasting, M&A due diligence, capital allocation ROI. CFOs get structured analysis, not spreadsheet guesswork.
Risk Distribution
Anomaly Scores
SLA Compliance
0.0%
Alerts
0
Operations & Risk
Supply chain risk, demand capacity planning, fraud detection, vendor performance scorecards. Run scenario models with Monte Carlo simulation and stress testing.
"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
Built on Proven Decision Science
Every model uses academically-grounded methods — not black boxes.
SOC 2 Aligned
Row-Level Security
Immutable Audit Logs
Private AI — Nothing Leaves
Patent PendingSSO & SAML (Enterprise)
Privilege-Ready
Comparison
Why not just use a spreadsheet?
Spreadsheets, BI tools, and GRC platforms each solve a piece. DecisionLedger is purpose-built for the full decision lifecycle.
| Feature | Spreadsheets | BI Tools | GRC | DecisionLedger |
|---|---|---|---|---|
| Structured decision models | ||||
| Full audit trail per decision | ||||
| AI-powered recommendations | ||||
| Policy guardrails & enforcement | ||||
| Monte Carlo & scenario modeling | ||||
| Outcome tracking & calibration | ||||
| Market benchmark context | ||||
| EU AI Act / SOC 2 evidence export |
Industries
Built for regulated industries
When decisions require evidence, governance, and auditability.
Healthcare
HIPAA-ready decisions for clinical operations, resource allocation, and compliance reporting.
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.
See How Much You Could Save
Adjust the sliders to match your team and see the potential impact of structured decision-making.
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Hours saved/month
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Saved per year
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ROI
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FAQ