Four steps from raw data to governed, auditable, defensible decisions.
Define your decision structure: criteria, weights, alternatives, and constraints. Choose from 156+ pre-built models or create your own.
Run scenarios using 14 proven decision science methods, from Monte Carlo simulation to Bayesian inference. Compare outcomes side by side.
Route through approval workflows, enforce policy guardrails, and pass governance gates. Every decision is logged with an immutable audit trail.
Record outcomes against predictions. Monitor AI agent costs, calibrate model accuracy over time, and close the feedback loop with defensible evidence.
Eight pillars that turn unstructured decisions into governed, repeatable, defensible processes.
156+ pre-built models across HR, Finance, Operations, and Strategy. 14 academically-grounded methods including MCDA, Monte Carlo, Bayesian inference, and linear programming with full transparency into every reasoning structure.
Agent registry, kill switches, shadow mode, governance gates, and an independent AI evaluator that grades every model run. Track AI agent token costs and compliance posture in real time.
Define enforceable policies with JSONLogic rules. Compliance packages map to regulatory frameworks (EU AI Act, SOC 2, GDPR). GRC export bundles evidence for auditors on demand.
Track decisions from draft through analysis, deliberation, approval, execution, and monitoring to closure. Full lifecycle with outcome recording, calibration, and decision-to-decision traceability.
Full board portal with resolutions, AI-powered meeting minutes, ESG tracking, and director management. Committee voting workflows with quorum enforcement and resolution registers.
Custom KPI libraries with threshold alerts. Cascading OKRs from company to individual. Benchmark against FRED, BLS, SEC EDGAR, and peer organizations with drift detection.
Monte Carlo simulation, sensitivity heatmaps, counterfactual exploration, and what-if comparison. Chain models into multi-step playbooks with automated execution.
12+ connectors for HRIS, ERP, BI tools, and data warehouses. Bidirectional sync with writeback capabilities. Scheduled runs, webhooks, and MCP-native Claude AI integration.
Every model uses academically-grounded methods — not black boxes. Full transparency into the reasoning structure behind every recommendation.
156+ pre-built decision models organized by domain. Deploy in minutes, customize to your data.
Connect to the systems your teams already use. Bidirectional sync keeps everything in lockstep.
Sync employee data, org structures, and workforce metrics in real time.
Query and push results to your analytical data layer.
Run models conversationally via MCP-native integration. AI agents with cost tracking and governance controls.
Embed decision outputs in dashboards and reports your teams already use.
Benchmark decisions against real-time economic data and industry metrics.
Push decision notifications and approval requests to team channels.
Built for regulated industries. Every layer of the platform enforces isolation, auditability, and compliance.
Enterprise single sign-on with SAML 2.0 and OpenID Connect support.
Tenant-scoped data isolation enforced at the database layer.
Every decision, approval, and data change recorded with tamper-proof S3 Object Lock storage.
Multi-tier role-based access control for fine-grained team management.
Monitor token usage, estimated costs, and compliance posture across every AI agent that touches your decisions.
Automatic detection and classification of personally identifiable information in every model input and output.
Pre-execution policy enforcement that blocks, flags, or escalates model runs that violate org-defined rules.
Export audit-ready evidence bundles mapped to EU AI Act, NIST AI RMF, SOC 2, GDPR, and CCPA frameworks.
Complete data and compute isolation between organizations. No cross-tenant bleed.
Most tools stop at showing you data. DecisionLedger AI™ takes you from insight to executed, traceable, defensible decisions.
Track every decision from draft through deliberation, approval, execution, and monitoring to closure. Record outcomes, measure prediction accuracy, and build an organizational decision memory.
See exactly what your AI agents cost: total token usage, estimated spend in USD, success rates, and compliance posture. Per-agent and cross-agent breakdowns with time-series trending.
Collaborative spaces where stakeholders debate decisions with threaded discussions, voting, and AI-powered synthesis that distills consensus from diverse perspectives.
Chain multiple models into sequenced playbooks. Run multi-step decision workflows with automated handoffs, from data ingestion to final recommendation.
Visualize how decisions relate to each other: dependencies, contradictions, and causal chains. Detect duplicates and conflicts across your decision portfolio automatically.
Ask 'what if we had decided differently?' Replay past decisions with altered inputs and compare to actual outcomes. Post-mortem analysis for continuous improvement.
AI Assistant
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...
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.
6
Domain modes
SHA-256
Attestation
Word
Domain-aware export
SHA-256 attestation, work-product watermark, litigation hold, counsel sub-form, and exportable privilege logs. Built for Heppner-compliant confidentiality.
PHI-aware conversations with 6-year retention, strict PII redaction, and HIPAA §164.312(b) audit events generated for every interaction.
Material non-public information handling, SOX audit trail, insider-list tracking, and restricted-distribution watermarks on every export.
Tie every conversation to SOX, GDPR, HIPAA, or EU AI Act frameworks. Every response becomes linkable, defensible evidence.
Download conversations as Word documents with domain-specific headers, footers, watermarks, and privilege designations baked in.
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.
DecisionLedger's full model library is now accessible via Claude AI. Run M&A diligence, workforce analytics, financial models, and 156+ more with full audit trails, PII scanning, and defensible outputs.