Reimagining GRC with AI
AI GRC That Works for You
Modern GRC runs on connected, always-on signals, actions, and decisions — not static screens, manual chasing, and disconnected workflows. Your team deserves tools that work the way risk actually moves.
Our context-aware assistants and agents are built into our deep-domain risk, compliance, audit, cyber, and third-party risk products — on an AI-native GRC platform and an outcomes-driven engagement model— so your team focuses on results, not tasks. With built-in AI Governance and the flexibility to bring your own model, you adopt AI responsibly on your own terms.
Deep-Domain Context
AI-native experience through assistants and agents grounded in deep-domain context across risk, compliance, cyber, audit, third-party, and policy, delivered so guidance reflects real GRC expertise, not generic automation.
Governed by Design, Controlled by You
Transparent, source-cited outputs, end-to-end audit trails, continuous accuracy benchmarking, and PII masking, with human judgment in control at every step. Every AI action is explainable, accountable, and yours to override.
Outcomes-Driven Engagement
Dedicated GRC and AI experts safeguard output quality, accuracy, and relevance through drift monitoring and model tuning that reduces hallucinations, plus quarterly AI-logic audits and adoption best practices. Value keeps compounding well beyond go-live.
AI That Transforms Your GRC from a System of Record to Actions and Decisions
Continuous Sensing
Always Monitoring and Ready
Catch emerging risks, compliance violations, control failures, regulatory changes, and threat signals before they become issues, both inside your organization and out.
Intelligence
See What Others Miss
Uncover gaps, anomalies, and trends across your risk and control environment. Get fast insights and actionable decisions from narrative summaries and recommendations.
Decision Support
Cut Through the Noise
AI prioritizes risks, controls, and issues, highlights what needs attention first, and recommends the next best actions.
Autonomous GRC Workflows
GRC That Does the Work, with You in Control
Automate assessments, gather evidence for controls, and get in-workflow recommendations at the scale manual processes can't match, all while keeping human oversight.
Outcome Assurance
Close the Loop
Know that remediation worked. Validate it with audit closure insights, quality checks, and effectiveness signals.
Hear from the Customers Leading the AI Shift in GRC
See How Zurich Insurance Is Using AI Across Its GRC Program
MetricStream Assistants and Agents: The AI Way to Transform GRC
Get Anywhere in a Single Click
No more navigation paths to memorize or multi-step drilldowns. Get to where you want using plain language in just one click with guided prompts.
Faster & Easier Data Capture in Real-Time
Upload a document, and the Assistant does the rest: mapping, suggesting, and populating fields. Focus on decisions, not documentation.
Contextual Help, Right Where You Need It
Get instant, cited answers about anything you need to do across any field, feature, or workflow, along with recommended next steps. Review, refine, and confirm before saving.
Purpose-Built AI Assistants & Agents for Every Team
Risk Assistant
Risk Insights, Right Now
Identify emerging risks as data from assessments and KRIs flows in. Query your risk posture in everyday language, and get flagged exposures, recommended actions, and guidance that helps your team respond before risks escalate.
Compliance Assistant
Compliance Guidance, Instantly
Continuous compliance, with data for control testing and assessments pulled in for you. Ask about your compliance data in plain language, and see gaps and violations flagged, actions recommended, and guidance delivered, so your team can decide faster.
Policy Assistant
Policy Clarity, On-Demand
Turn dense policies into clear answers. Capture reviews and attestations without manual work, ask what a policy means in a given situation, and flag conflicts and recommend next steps, so employees act with confidence and fewer questions reach your team.
Cyber Assistant
Cyber Risk, In Focus
Autonomous cyber risk capture, with you in the loop. The assistant acts on signals to pull data for cyber assessments, make sense of asset, control, and risk fields, and log every issue and remediation action, then routes each to you for review before anything is final.
Audit Assistant
Audit Decisions, Faster
Run audits on evidence, not manual effort. Documentation builds across planning and fieldwork, and a quick question in everyday language flags control gaps, recommends actions, and provides guidance to act on them.
Regulatory Change Management Assistant
Regulatory Change, Simplified
Stay ahead of every regulatory update. The assistant detects changes, maps them to your obligations, and flags impacted controls and compliance gaps, recommending the actions that turn regulatory complexity into confident response.
Third-Party Assistant
Vendor Risk, Under Control
Keep vendor risk moving. Onboarding and assessment data is captured as you go, vendor risks and issues are flagged with recommended actions, and reviews and documentation stay consistent across every third party.
Business Continuity Management Assistant
Resilience, Amplified
Build readiness with less legwork. Business impact analysis and recovery planning data is gathered for you, continuity gaps are flagged, and guidance plus recommended actions keep your recovery plans current and tested.
Governed by Design, Trusted in Practice,
Human-Controlled
Transparent by Default
Every AI output shows its source and reasoning. Your teams see what was used, why, and where the guidance came from.
AI with Human Accountability
Judgment stays with the professional, where it belongs. Override any AI output, at any step.
Audit-Ready by Design
Every interaction is traced end-to-end. A complete, tamper-evident record your teams can reconstruct and present to regulators on demand.
Quality Is Measured
AI accuracy benchmarked continuously, at the platform level and per use case. Performance tracked where it matters, not averaged away.
Your Data Stays Yours
PII, PHI, and confidential content are masked before they reach the model. Bring your own LLM or deploy privately. Nothing leaves your controlled environment without authorization.
Frequently Asked Questions
MetricStream AI is a suite of context-aware assistants and agents built directly into MetricStream's GRC products, across risk, compliance, audit, cyber, and third-party risk. Rather than operating as a generic AI layer, each assistant is grounded in deep GRC domain knowledge, enabling it to surface relevant guidance, recommend actions, and support data capture within the workflows where teams already work. The AI is governed by design, with human judgment in control at every step.
MetricStream Assistants provide in-workflow guidance such as answering questions, explaining fields, navigating screens, and helping users capture data faster. Agents go further, acting autonomously on defined tasks such as pulling data for assessments, logging issues, and routing items for review, while keeping humans in control of every consequential decision. Both operate within the same AI-native GRC platform and are built around a principle of human oversight, not replacement.
MetricStream AI covers the full range of GRC domains with purpose-built assistants and agents for risk, compliance, policy, audit, regulatory change management, cyber risk, third-party risk, and business continuity management. Each assistant is trained on domain-specific context, so a Risk Assistant understands KRIs and risk assessments, while a Third-Party Assistant understands vendor onboarding and assessment workflows. This protects against applying generic responses across all use cases.
MetricStream AI is built around a three-level model of human involvement: Assist, where the AI surfaces information and the human acts independently; Augment, where the AI pre-populates or drafts content and the human reviews and applies it; and Delegate, where the AI executes a defined workflow and the human sets scope, monitors progress, and holds the override. Every AI output shows its source and reasoning, every pre-filled field is tagged as AI-generated, and users can override any AI action at any step.
MetricStream addresses AI accuracy through several mechanisms. Dedicated GRC and AI experts monitor output quality and relevance through drift monitoring and model tuning. AI accuracy is benchmarked continuously, at both the platform level and per use case, rather than averaged across the system. Quarterly AI-logic audits review performance across workflows. Responses are generated from approved, current content with citations shown, so users can verify the basis of any guidance before acting on it.
MetricStream AI applies PII and PHI masking before content reaches any model, ensuring sensitive personal and health information is not exposed during AI processing. Organizations can also bring their own LLM or deploy privately, keeping all data within their controlled environment. Role-based access controls ensure AI responses are drawn only from content the authenticated user is authorized to view, and every AI interaction is logged in a tamper-evident audit trail.
Continuous sensing refers to MetricStream AI's ability to monitor for emerging risks, compliance violations, control failures, regulatory changes, and threat signals on an ongoing basis, both inside and outside the organization. Rather than relying on periodic manual reviews, the AI continuously processes signals and surfaces issues before they escalate. This enables GRC teams to move from reactive responses to proactive risk management across risk, compliance, cyber, and third-party workflows.
Yes. MetricStream supports a bring-your-own-model (BYOM) approach, giving organizations the flexibility to connect their preferred large language model rather than being locked into a single provider. This is supported by MetricStream's AI-native platform, which includes model lifecycle management, inference APIs, agent orchestration, and guardrails, enabling organizations to adopt AI responsibly while retaining control over the models and data used across their GRC programs.acc
Traditional GRC platforms primarily serve as systems of record, storing data and tracking workflows. MetricStream AI adds a layer of intelligence, decision support, and autonomous action on top of that foundation. The AI identifies gaps, anomalies, and trends; prioritizes risks, controls, and issues; recommends next best actions; and can execute defined workflows at a scale manual processes cannot match. The result is a GRC program that produces decisions and outcomes, not just documentation.
MetricStream's outcomes-driven engagement model includes dedicated GRC and AI experts who work with organizations beyond the initial go-live. This includes drift monitoring to detect when AI outputs diverge from expected quality, model tuning using enterprise-specific data and context, quarterly AI-logic audits, and adoption best practices. The goal is to ensure AI accuracy and relevance continue to improve over time and that the platform's value compounds rather than plateaus after deployment.
