Agent Decision Traceability & Audit Engine
XenonStack · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Overview
ElixirData — Agent Decision Traceability & Audit Engine provides an enterprise governance layer that records, explains, and validates every AI-driven decision across business operations.
Show the rest of the publisher’s description (35 more lines)
Built on the ElixirData Organisation World Model, the platform captures the complete lifecycle of AI decisions, including context retrieval, reasoning inputs, policy evaluations, approval workflows, authority boundaries, and execution outcomes. Every decision is transformed into an audit-ready Decision Trace, enabling organizations to demonstrate transparency, accountability, and regulatory compliance.
Organizations gain trusted AI operations through explainable decision intelligence, governance controls, and complete audit evidence for enterprise AI systems.
Key Capabilities
- End-to-end AI decision traceability
- Context and reasoning lineage
- Policy evaluation and governance tracking
- Human approval path recording
- Authority boundary validation
- Explainable AI decision evidence
- Audit-ready governance reporting
- Enterprise AI accountabilityHow It Works
ElixirData integrates with enterprise AI platforms, agent frameworks, identity providers, business applications, governance repositories, and operational systems.
The platform continuously captures AI prompts, retrieved context, policy evaluations, reasoning metadata, approval workflows, and execution outcomes. Every interaction is linked into the Organisation World Model, creating a complete Decision Trace from source information through final action.
Decision Trace records provide immutable evidence of what information the AI used, which governance policies were evaluated, who approved the decision, the authority limits applied, and the final business outcome—supporting regulatory reviews, internal audits, and Responsible AI governance.
Business Outcomes
- Complete transparency into AI-driven decisions
- Faster AI audit preparation and regulatory reporting
- Improved governance and compliance oversight
- Increased trust in enterprise AI deployments
- Reduced AI governance and operational risk
- Consistent policy enforcement across AI systems
- Enhanced explainability for regulated AI workloadsIdeal Users
- Chief Compliance Officer
- Chief Information Security Officer (CISO)
- Head of AI Governance
- Enterprise Risk Teams
- Responsible AI Teams
- Internal Audit and Compliance TeamsIndustry Focus
- Financial Services
- Healthcare & Life Sciences
- Manufacturing
- Energy & Utilities
- Retail & Consumer Goods
- Telecommunications
- Public Sector
Preview
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
7 linksLinked repositories
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