Govern every high-stakes decision before it executes
Put a governance layer over the decisions your people and AI systems make every day. Enforce policy before execution, route approvals, map accountability, and close every decision with a defensible audit trail.
Governance gaps that structured controls and audit trails eliminate.
High-stakes decisions execute before anyone checks them against policy. Enforce policy guardrails at decision time, so violations are blocked or escalated, not discovered in an audit.
When a decision goes wrong, accountability is unclear. Map every decision to its owner, approver, inputs, and rationale so responsibility is never ambiguous.
Decisions live in inboxes and slide decks with no record of why. Capture the model, assumptions, and approvals behind each decision in an immutable, replayable trail.
Policies say one thing; practice drifts somewhere else. Detect decision drift continuously and surface where real decisions diverge from approved policy.
Real governance scenarios powered by DecisionLedger.
Uses policy compliance guardrails to enforce approval thresholds across the business, ensuring no high-value or high-risk decision executes without the required sign-off.
Eliminated out-of-policy decisions with automated pre-execution enforcement
Relies on decision traceability and accountability mapping to reconstruct exactly how a contested decision was made, who approved it, and what evidence supported it.
Reduced decision-defense preparation from weeks to minutes
Runs decision drift detection across the organization to find where actual decisions are diverging from approved policy before it becomes a systemic problem.
Caught governance drift early and re-aligned practice to policy
Based on platform benchmarks across early adopters.
Policy Enforcement
Accountability
Audit Readiness
Governance Drift
Policy enforcement, accountability mapping, and audit trails for human and AI-assisted decisions.
Check every decision against codified policy before it executes. Block, escalate, or approve based on configurable thresholds and authority.
Tie each decision to its owner, approvers, inputs, and rationale so you can always answer who decided, and why.
Capture and replay the full lineage of any decision, from inputs and model run to approval and outcome, for regulators and the board.
Connects With
Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics
Salesforce
Workday
Slack
NetSuite
Power BI
Salesforce
Workday
Slack
NetSuite
Power BIPre-built decision models ready to run with your data.
Formal AIA as quantitative decision model with statistical bias analysis, EU AI Act article scoring, and remediation roadmap
Assigns clear ownership and escalation paths for decisions using RACI governance analysis. Validates accountability structures, detects gaps and concentration risks, scores coverage completeness, and generates remediation recommendations.
Identifies when decisions diverge from original intent over time.
Detects over-concentration of risk across decisions. Analyzes the aggregate portfolio of active decisions to identify clustering, correlation, and concentration risks that could amplify failures. Computes Herfindahl-Hirschman Index, category and risk-level concentration, timeline clustering, risk factor correlation, and portfolio balance scoring with rebalancing recommendations.
Determines whether a decision is truly ready to be made by evaluating data completeness, risk exposure, and unresolved dependencies.
Decision Traceability Model - Links inputs, assumptions, approvals, overrides, and outcomes into a directed traceability graph. Scores completeness of each link, detects broken chains, identifies orphaned decisions, flags stale assumptions, and computes override-to-decision ratios for governance and audit compliance.
Ensures HR decisions align with organizational policies and legal requirements for selected US states. Evaluates termination, hiring, compensation, leave, accommodation, and discipline decisions against federal and state employment laws.
Verifies model lineage, training data attestation, and supply-chain trust.
Three steps to structured, auditable decisions.
Codify the policies, thresholds, and approval authority that govern your decisions. Map who can decide what, and under which conditions a decision must escalate.
Every decision and model run is checked against policy before it executes. Compliant decisions proceed; violations are blocked, flagged, or routed for human approval.
Capture the inputs, rationale, approvers, and outcome of each decision in an immutable trail. Replay any decision and prove it followed policy.
Policy documents in wikis
Written policies no system actually enforces at decision time
Email and Slack approvals
Approvals scattered across tools with no link to the decision or its evidence
Manual audit reconstruction
Weeks of digging to prove how a single decision was made
GRC tools bolted on after
Compliance checks that run after decisions execute, not before