0+
Decision Models
0
Scientific Methods
0
Lifecycle Stages
0+
Integrations
How It Works
Define the decision, its context, stakeholders, and constraints. The platform assigns a lifecycle stage and governance track.
Choose from 298 models spanning MCDA, Monte Carlo, Bayesian inference, cost-benefit, and more. Feed in your data and get scored results.
Every output includes an audit trail, reasoning structure, confidence intervals, and compliance evidence. Close the loop with outcome tracking.
Platform
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.
Complex intelligence, automated
Measure what matters
Align strategy to execution
298 structured decision models
See around corners
From draft to outcome
Decisions you can defend
Governance at the top
Context for every decision
From insight to action
Control AI spend
One budget for people and AI
See every token
Spend less per call
Ask your decisions anything
Built for the enterprise
Integrations
Sync live data from your CRM, marketing, finance, HR, ecommerce, analytics, and support tools. Every decision model runs on the numbers your business actually produces.
Salesforce
Pipedrive
Dynamics 365
Outreach
Salesloft
Close
monday.com
Attio
NetSuite
Chargebee
Recurly
Power BI
Tableau
Salesforce
Pipedrive
Dynamics 365
Outreach
Salesloft
Close
monday.com
Attio
NetSuite
Chargebee
Recurly
Power BI
Tableau
Workday
BambooHR
UKG
Rippling
Paylocity
Dayforce
Lever
Paycom
ServiceNow
Freshservice
Slack
Amazon Seller Central
Klaviyo
Workday
BambooHR
UKG
Rippling
Paylocity
Dayforce
Lever
Paycom
ServiceNow
Freshservice
Slack
Amazon Seller Central
KlaviyoOAuth and API key auth, tenant field mapping, bidirectional sync
Claude Inside
Other platforms give you a chatbot. DecisionLedger gives you Claude with access to ALL your enterprise data, 298 decision models, policy library, and full decision history: all governed, audited, and compliant.
AI that HR, Compliance, Legal and Healthcare can use securely and privately. No data ever leaves DecisionLedger AI conversations.
Model our attrition risk for engineering and show me who's at highest flight risk
I'll run the Attrition Risk Model using your live BambooHR data for the Engineering department.
This is Claude, with everything you'd expect, now plugged into DecisionLedger. It answers any question like always, but it can also run your models, reach your connected data, generate documents, and challenge your assumptions. Go further and set policies, run agent orchestration, or pull up committees and board portals, all from one chat on every page. Turn anything useful into an agent you'll reuse.
It doesn't just answer questions. It executes 298 quantitative decision models with your real data, tracks outcomes, remembers what your organization has learned, and turns conversations into scheduled automations.
40+
Built-in tools
298
Decision models
150+
Data connectors
Claude has access to 40+ platform tools: run any of 298 quantitative models, query live HRIS data, search your policy library, generate Word docs and Excel workbooks, create KPIs, and build dashboards, all inside one conversation.
Say "model our attrition risk" and Claude finds the right plugin, pulls live employee data from your connected HRIS, executes the model, and returns scored results with plain-English interpretation.
Direct connectors to Salesforce, HubSpot, Stripe, Shopify, Google Analytics, Workday, QuickBooks, Snowflake, and 150+ more across CRM, marketing, ecommerce, finance, HR, and analytics. Models run on live data, not sample spreadsheets.
Claude remembers your preferences, team structure, and fiscal calendar across sessions. It searches your decision history by meaning, finds precedents, and surfaces lessons from past outcomes.
Challenge any decision and Claude generates the strongest counter-case: opposing evidence, risk scenarios, and alternative approaches. Counterfactual analysis replays past decisions with different inputs.
Generate downloadable Word documents and multi-sheet Excel workbooks directly from conversation. Policy memos, executive summaries, risk assessments, and board briefings, complete with domain-aware watermarks.
Had a productive analysis? Save it as a reusable agent with one click. Set a schedule, add triggers, configure budget caps and authority limits. It runs autonomously with human approval gates.
Claude searches your uploaded policies and knowledge base by meaning, not keywords. Ask "Can I expense a $500 team dinner?" and get a cited answer from your actual expense policy.
Every interaction is audit-logged. Per-conversation cost metering. Budget enforcement. Sensitive data is redacted before the model ever sees it. Employment-affecting outputs require human approval before release.
Claude inside DecisionLedger is not a wrapper around a chat API. It's a deeply integrated AI partner with access to your org's complete decision infrastructure (data, models, policies, history, and governance) in one conversation.
AI Governance
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.
Register every AI agent that touches your decisions. Set per-agent permissions, monitor activity, and suspend misbehaving agents instantly.
Monitor token usage, estimated USD costs, and success rates for every AI agent. Cross-agent dashboards with time-series trending and per-agent breakdowns.
Circuit breaker disables problematic models in one click. Shadow mode lets you test new models in production without impacting audit logs or workflows.
Pre-execution policy enforcement. Define rules that must pass before any model can run. Auto-approved, pending review, or denied, with full audit trail.
Every model run is independently reviewed by AI. Evaluates confidence intervals, identifies blind spots, grades output quality, and provides improvement recommendations.
Define enforceable constraints in plain rules. Decisions that violate policy are automatically flagged, blocked, or escalated for override.
Surface statistical bias across protected classes. SHAP waterfall plots and feature importance scores show exactly which inputs drove each recommendation.
Auto-generated executive summaries and board-ready briefings from model outputs. AI distills complex analyses into clear narratives for leadership review.
Monitor whether decision quality degrades over time. Automated alerts when model outputs or market benchmarks diverge from historical baselines.
Record actual outcomes against predictions. Measure model accuracy over time, grade effectiveness A-F, and surface when recalibration is needed.
Designate decisions as privileged with counsel-directed workflows, cryptographic attestation chains, and verifiable privilege logs. Built for privilege-safe, counsel-directed confidentiality.
Every AI query is scoped to the user's department and role. HR in Engineering cannot see Finance compensation. Enforced consistently across the assistant, agents, and integrations.
External AI agents access DecisionLedger through a policy-enforcing gateway with per-agent budgets, scoped permissions, and full session audit trails. No agent runs a tool your policy doesn't permit.
Every AI output is checked against verified source facts before it enters the decision record. Unsupported claims are flagged and fabricated citations are blocked, so what you record is what you can prove.
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.
Multiple AI agents independently evaluate high-stakes decisions, with a full audit trail of every agent's reasoning. Independent review means no single model's bias drives the outcome.
High-risk model outputs are automatically held before anyone sees full results. Admins grant access per user, so a result's existence is visible but its data stays locked until released. Non-bypassable.
Reconciles what AI providers bill against what was actually governed to surface ungoverned costs. Finds shadow AI spend your finance team doesn't know about.
Every decision lifecycle event is cryptographically tamper-evident, so you can prove no decision was altered after the fact.
Conversations are automatically classified as legal, healthcare, financial, or compliance. Each domain activates specialized guardrails: privilege logs, HIPAA scanning, MNPI embargo, or evidence linking.
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.
Agent Orchestration
Deploy AI agents that don't just execute - they navigate governance gates, reference your decision history, and produce traceable, defensible outcomes. Every action logged. Every cost tracked. Every decision governed.
Traditional agent frameworks fire and forget. DecisionLedger agents run through governance gates before every action, carry full decision context from prior runs, and close the loop with outcome tracking. The result: autonomous agents your compliance team can actually trust.
298
Models available
100%
Traceable
$0
Ungoverned actions
Design multi-agent workflows visually. Define system prompts, tool access, model selection, and execution triggers - then deploy with one click.
Every agent run receives the full decision graph: prior decisions, linked scenarios, and outcome history. Agents reason with organizational memory.
Route agents through model-specific governance gates. Different policies for Claude, GPT, Gemini - unified audit trail regardless of provider.
Test new agents in shadow mode before going live. Kill switches halt any agent instantly, with no delay.
Record what actually happened after agent decisions execute. Calibrate agent accuracy over time and feed outcomes back into future runs.
Agents connect to DecisionLedger via Model Context Protocol. Run models, create decisions, and advance lifecycles without custom API code.
Decision-Aware Agent Orchestration - patent-pending technology. MCP Governed Agent Gateway (U.S. Provisional Patent Application No. 64013474), MCP Tool Composition Governance (No. 64015222).
AI Assistant
The first AI assistant that classifies conversations by regulatory domain from the start. 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...
Each conversation is governed by its regulatory domain, which activates domain-specific guardrails, retention policies, watermarking, and audit events. 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 watermarking, litigation hold, counsel-directed workflows, and exportable privilege logs. Built for privilege-safe, counsel-directed 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.
Privilege Preservation technology - U.S. Provisional Patent Application No. 64034271. Domain classification, attestation chains, and privilege-aware document export are patent-pending.
Conversation Oversight
Regulators and general counsel need to know what your AI assistant discussed, with whom, and whether privileged or sensitive information was involved. Assistant Conversation Oversight gives admins full visibility into every conversation - with search, legal hold, and eDiscovery export built in.
100%
Conversation visibility
6
Domain filters
JSON
eDiscovery export
Every AI assistant conversation is logged with domain classification, confidentiality status, and timestamps. Admins see all tenant activity in one searchable view.
Full-text search across every message in every conversation. Filter by domain, user, date range, or confidentiality status to find exactly what you need.
Place legal holds on individual conversations or bulk-freeze all conversations for a user. Auto-deletion is suspended, retention policies are overridden, and nothing is purged until counsel releases the hold.
Export any conversation as structured JSON with full metadata - domain, timestamps, user identity, confidentiality flags, and legal hold status. Ready for litigation support workflows.
See which users are most active, how conversations break down by domain, total message counts, and confidential conversation volume - all scoped to your tenant.
Filter conversations by regulatory domain - legal, healthcare, financial, compliance, HR, or general. Instantly surface privileged or HIPAA-scoped conversations for review.
Conversation logs are stored in your tenant's isolated database with row-level security. Legal holds override all automatic retention policies until explicitly released by an authorized admin.
Attrition Risk by Dept
Pay Equity
Flight Risk
0.0%
Succession
0%
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
Every HR model is automatically audited for adverse impact across gender, race, age, and other protected classes, continuously and with zero manual effort. When a model crosses a fairness threshold, the platform flags it, notifies administrators, and can pause the model until reviewed. Stay ahead of EEOC, OFCCP, and NYC LL144 compliance requirements with monitoring built into every decision.
Budget vs Actual ($k)
Cash Flow Trend ($k)
Variance
-0.0%
Runway
0 mo
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
Supply chain risk, demand capacity planning, fraud detection, vendor performance scorecards. Run scenario models with Monte Carlo simulation and stress testing.
From decision models and governance workflows to real-time analytics - explore every capability.
Data Ingestion
Pull 2,847 HRIS records from Workday
1.2s
Risk Scoring
Run attrition model across all employees
3.4s
Policy Validation
Check 12 compliance policies
0.8s
Anomaly Detection
Flag statistical outliers in the data
2.1s
Approval Routing
Route 7 high-risk cases to managers
0.3s
Stakeholder Notify
Send alerts to 3 VPs + CHRO
0.5s
"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 & Chief Architect, DecisionLedger AI
Why teams trust us early
Every significant engineering and product decision here is modeled, governed, and recorded in DecisionLedger itself. Our own commits carry the Decision-ID that links the code back to the decision and its evidence.
We are onboarding a focused group of design partners who work directly with the founding team, shape the roadmap, and get hands-on implementation support as they roll out governed AI decisions.
The platform is built for regulated buyers from day one: immutable audit logs, policy enforcement before execution, and compliance evidence mapped to the EU AI Act, NIST AI RMF, and SOC 2.
Every model uses academically-grounded methods, not black boxes.
SOC 2 Aligned
Tenant Isolation
Row-Level Security
Immutable Audit Logs
Private AI - Nothing Leaves
Patent PendingSSO & MFA Required
Comparison
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
When decisions require evidence, governance, and auditability.
Decision modeling for clinical operations, resource allocation, and compliance reporting. HIPAA compliance available on Enterprise.
Credit risk, portfolio optimization, and regulatory capital modeling with full audit trails.
Budget allocation, policy impact analysis, and transparent decision records for public accountability.
Supply chain risk, demand planning, vendor scorecards, and quality control decisions.
Claims triage, underwriting models, fraud detection, and actuarial scenario analysis.
Case strategy scoring, settlement analysis, matter budgeting, and compliance evidence.
Adjust the sliders to match your team and see the potential impact of structured decision-making.
0h
Hours saved/month
$0
Saved per year
0%
ROI
Get your personalized ROI report with detailed breakdown
FAQ