Risk Meridian is responsible AI software that gives organizations the structure, documentation, and controls to deploy AI ethically and transparently while supporting compliance with TRAIGA, the EU AI Act, NIST AI RMF, and ISO 42001 — without the spreadsheet chaos.
Responsible AI is not a single feature. It is a discipline. Risk Meridian operationalizes every dimension of responsible AI into repeatable, auditable workflows — so your governance program is real, not just documented.
Document every AI system's purpose, training data, decision logic, and output channels. Auto-generate public and internal disclosure notices that support EU AI Act transparency obligations and NIST AI RMF practices — plus TRAIGA's government and healthcare AI-use disclosure duties.
Run structured bias and equity assessments against every high-risk AI system. Assign governance owners, track remediation deadlines, and maintain a timestamped audit trail that proves accountability to regulators and auditors.
Auto-generate a tailored control library for each AI system based on its risk classification and sector. Track completion status, flag overdue controls, and get real-time visibility into your risk posture across your entire AI portfolio.
Define and document human-in-the-loop review processes for every consequential AI decision. Record reviewer identities, escalation thresholds, and override authorities — the evidence you'll want on hand if your AI oversight is ever questioned.
Generate governance documentation in minutes: risk assessments, impact evaluations, disclosure notices, policy templates, and board-level governance reports — all pre-formatted to support multiple regulatory frameworks simultaneously.
Produce one-click board and executive committee reports showing governance maturity scores, open risk items, incident summaries, and regulatory readiness — presented in plain language that non-technical leaders can act on.
Six structured steps that turn responsible AI principles into a documented, auditable governance program — not just a policy document.
You cannot govern what you cannot see. Risk Meridian's AI system registry captures every automated decision-making tool across your organization — including third-party vendor AI — and classifies each one by risk level, domain, and regulatory obligation.
Every new AI system passes through a structured risk review: data sources, bias vectors, potential harms, affected populations, and mitigation controls. Risk reviews are documented, versioned, and permanently attached to the AI system record.
Risk Meridian auto-generates a tailored set of governance controls for each AI system based on its risk tier and regulatory requirements. Controls are assigned to owners with due dates, progress tracked in real time, and overdue items escalated automatically.
Where disclosure is required — such as government AI use, healthcare AI in patient care, or the EU AI Act — affected people should be informed. Risk Meridian's disclosure generator produces clear, human-readable notices for each required disclosure, plus best-practice notices — ready to publish in seconds.
When something goes wrong — or nearly goes wrong — your incident log must capture it. Risk Meridian's incident manager records every AI-related harm, bias event, or control failure with severity, root cause, and remediation tracking, giving regulators the evidence trail they require.
Board members and compliance auditors need governance evidence in plain language. Risk Meridian generates board-ready governance reports, maturity scorecards, and regulatory readiness assessments that prove your responsible AI program is real and functioning.
Responsible AI is defined differently by different regulators. Risk Meridian maps your governance program to every major framework simultaneously — so one investment covers all your compliance obligations.
The Texas Responsible AI Governance Act is an intent-based law that prohibits specific harmful AI uses and requires government entities and healthcare providers to disclose AI use. Risk Meridian was purpose-built to help you build the documentation that demonstrates good-faith compliance and supports TRAIGA's safe harbors.
The EU AI Act imposes strict obligations on high-risk AI systems including conformity assessments, technical documentation, human oversight, and transparency requirements. Risk Meridian maps every control to the relevant EU AI Act article.
The NIST Artificial Intelligence Risk Management Framework provides a voluntary but widely adopted structure for managing AI risk. Risk Meridian implements all four GOVERN, MAP, MEASURE, and MANAGE functions natively.
ISO/IEC 42001 is the international standard for AI management systems. Risk Meridian's control library and governance documentation templates align directly to ISO 42001's requirements, making certification significantly faster.
Colorado's original AI Act was replaced before taking effect by SB 189, a narrower disclosure and transparency (ADMT) framework effective January 1, 2027. Risk Meridian helps you track and document the new disclosure obligations as they take shape.
California's evolving AI regulatory landscape — including AB 2013 (training data transparency) and other enacted AI laws — calls for proactive governance. (SB 1047 was vetoed in September 2024 and is not law.) Risk Meridian helps you track your exposure across applicable California AI obligations.
Responsible AI governance is a cross-functional challenge. Risk Meridian serves every stakeholder who touches AI — from compliance and legal to risk and engineering.
You need to prove that your organization's AI systems are governed responsibly — but you have no centralized inventory, no documented controls, and no audit trail to show regulators.
Risk Meridian gives CCOs a single dashboard showing every AI system, its risk classification, its compliance status, and its complete governance documentation. Board-ready reports are generated in one click.
Audit-ready AI governance program with documented controls and regulator-facing evidence packages.
AI introduces new risk dimensions — bias, opacity, unintended outcomes — that traditional risk frameworks were not built to handle. Existing GRC tools have no AI-specific risk taxonomy.
Risk Meridian's risk engine applies NIST AI RMF and ISO 42001 risk taxonomies to score every AI system across six risk dimensions: bias, safety, privacy, reliability, explainability, and regulatory exposure.
Quantified AI risk portfolio with trend tracking, control effectiveness metrics, and remediation prioritization.
The EU AI Act, TRAIGA's disclosure duties, and other state AI laws each call for different disclosure notices, documentation formats, and governance evidence. Managing them manually is unsustainable.
Risk Meridian auto-generates jurisdiction-specific disclosure notices, impact assessments, and governance reports that support multiple regulatory frameworks from a single data entry — no duplication of effort.
Multi-jurisdiction compliance documentation maintained automatically as your AI portfolio evolves.
Engineering teams want to ship AI products fast, but governance reviews and compliance documentation slow deployments down. There is no lightweight way to satisfy both speed and compliance.
Risk Meridian's pre-launch governance checklist takes less than 30 minutes for a new AI system. Engineers complete a structured intake form; the platform auto-generates the required risk documentation and assigns controls to the right owners.
Faster AI deployment with built-in governance — compliance becomes a 30-minute pre-launch step, not a months-long review.
Everything you need to know about responsible AI software and how Risk Meridian works.
Join organizations using Risk Meridian to govern AI systems responsibly, transparently, and in compliance with every major framework. Start now.