For compliance, risk & ethics leaders
Ethical AI governance you can explain to your board.
When a regulator or your board asks where AI is used, how risky each system is, and who signed off, you need an answer you can defend. We turn scattered AI initiatives into policies, risk classifications, and oversight your compliance, legal, and technology teams can all stand behind.
Mapped to NIST AI RMF · ISO 42001 · HIPAA-aligned
- Translate AI initiatives into policies and controls mapped to a recognized risk framework.
- See where AI is used, how risky each system is, and who is accountable.
- Design oversight that keeps a human in control of consequential AI decisions.
- Built for regulated mid-market organizations, not just tech-first startups.
Governed AI for regulated mid-market organizations
- Prior-Auth AssistantCMIO OfficeHighApproved
- Claims Triage AgentRisk & ComplianceMediumIn review
- Clinical Note SummariserData Platform LeadLowApproved
The reality
AI risk is now a governance problem.
AI is piloted and used in workflows without always-clear oversight, and boards and regulators now expect clarity on where AI is used, how it is controlled, and how it aligns with your existing risk frameworks. Compliance, risk, and ethics teams need more than high-level AI policies, they need operationalized governance.
No single inventory of AI
You don't have one living view of the AI systems, copilots, and agents in use, so no one can say with confidence where AI touches the business.
Policies that don't reach the work
Your policies mention 'AI', but they don't translate into actual controls, review gates, and workflows people follow day to day.
You hear about AI projects late
Compliance and risk learn about AI initiatives when deployment is imminent or when an issue has already surfaced, not while there is still time to shape them.
No way to classify AI risk
You're not sure how to classify AI use cases by risk and the oversight each one requires, so everything gets treated the same, or nothing does.
Principles without a program
You worry about bias, explainability, and accountability, but you lack a concrete program that turns those concerns into defensible practice.
Kriv AI focuses on making AI governable within your existing NIST AI RMF, ISO 42001, and HIPAA obligations, instead of bolting a parallel process on top of them.
Governance posture
- NIST AI RMF-aligned delivery
- HIPAA-aligned, BAA available
- SOC 2 readiness documentation
Who we help
Built for compliance, risk & ethics teams.
From Chief Compliance Officers to General Counsel and the technology leaders who implement the controls.
Compliance & risk
Compliance & Risk Leaders
- Chief Compliance Officer, Chief Risk Officer, Heads of Governance.
- Own policies, frameworks, and risk appetite.
- Need AI programs that align with existing governance, not bypass it.
Privacy, legal & ethics
Privacy, Legal & Ethics
- Chief Privacy Officer, General Counsel, Ethics & Integrity leads.
- Concerned with data protection, fairness, bias, and reputational risk.
- Need clear documentation of AI use, boundaries, and accountability.
Technology
Technology Leaders Supporting Governance
- CIO, CTO, CDO, Heads of Data & Analytics.
- Implement the technical controls and monitoring.
- Need governance models that are realistic to implement and maintain.
Our engagements typically involve both compliance / legal and technology from the start.
How we help
Solutions designed with governance as a first-class concern.
The same capabilities we build for technology leaders, scoped so your compliance and ethics teams own the controls.
Governed AI
What “governed AI” means in practice.
Pick a pillar, see the controls that make AI explainable and the artifact your teams keep from each one.
Inventory & Classification
- Maintain a living inventory of AI systems, copilots, and agents.
- Classify by risk level, data sensitivity, and business impact.
Artifact you keep → A living AI register with risk levels, owners, and controls
In practice
Example governance & ethics use cases.
Practical applications we run with compliance and ethics teams, most start with one and expand.
Foundation
AI System Inventory & Risk Register
Create and maintain an inventory of AI systems with risk levels, owners, and controls.
Process
AI Use Case Review & Approval Process
Design workflows for new AI use case proposals, review, and sign-off involving compliance and technology.
Ethics
Bias & Fairness Review Support
Support periodic bias / fairness checks with structured processes and reporting, working alongside your teams.
Policy
AI Policy & Standard Implementation
Turn your AI principles or codes of conduct into operational standards, templates, and checklists.
Risk
Incident & Escalation Pathways for AI
Define how issues with AI systems are detected, escalated, investigated, and resolved.
Reporting
Board-Ready AI Governance Reporting
Prepare recurring governance summaries that leadership and boards can understand.
Beyond compliance
Ethics, not just bare-minimum compliance.
Legal compliance is necessary but not always sufficient. What is legally permissible may still harm trust, reputation, or stakeholders.
Ethical considerations like bias, fairness, transparency, and appropriate use are central to building and maintaining trust in AI.
Some use cases may be technically feasible and legally permissible, but still not ethically acceptable for your organization or the people you serve.
Our ethics approach
- Explicit criteria for use cases we recommend against or refuse to support.
- Guidance on incorporating ethics review into AI decision-making.
- Support for articulating your own AI ethics stance to staff and partners.
- Alignment with your existing ethics, DEI, and risk policies.
How it works
A governance-focused engagement that respects your frameworks.
Discovery & Framework Mapping
- Review your existing policies, risk frameworks, and AI initiatives.
- Map your current posture against AI governance best practices.
Governance Design & Pilot
- Co-design governance structures: roles, processes, artefacts, and reporting.
- Pilot governance on a subset of AI systems, refine based on feedback.
Rollout Across the AI Portfolio
- Extend governance patterns and controls across AI use cases, departments, and systems.
- Enable teams with templates, checklists, and playbooks.
Ongoing Support & Improvement
- Provide ongoing advisory, reviews, and updates as regulations and AI footprints evolve.
- Adjust risk classifications and controls as new use cases emerge.
What you get
What compliance & ethics leaders aim to achieve.
5
method chapters: Assess, Govern, Build, Validate, Operate, each with an artifact you keep
4
governance pillars: inventory, controls, reviews, and reporting
1
living AI register: every system with its owner, risk level, and status
One governable program, built inside your existing compliance reality.
- Visibility & control, know where AI is used, how it behaves, and who is accountable.
- Defensible governance, documented processes and decisions that stand up to internal and external scrutiny.
- Reduced friction with technology teams, move from 'no-by-default' to collaborative, risk-aware enablement.
- A clear story for leadership & regulators, explain your AI risk posture and governance program in plain language.
Go deeper
Resources for compliance, risk & ethics teams.
Featured reading
Insight
Building Practical AI Governance Programs with Existing Risk Frameworks
How compliance leaders are integrating AI oversight into their existing governance structures.
Whitepaper
From AI Policy to Practice: Turning Principles into Controls
A guide to operationalizing your AI principles into actionable governance.
FAQ / Use Case
Common Questions Compliance Teams Ask About AI
Answers to the questions we hear most from compliance, risk, and legal leaders.
Straight answers
Compliance, risk & ethics questions
Do you replace our compliance, risk, or legal teams?
No. We act as a specialized extension focused on governed AI. We co-design the policies, risk classifications, controls, and review processes your teams own, aligning with your existing governance rather than bypassing it.
Which AI governance frameworks do you align to?
We align to NIST AI RMF, ISO 42001, and HIPAA-aligned controls, then adapt them to your context. The goal is concrete technical and process controls mapped to a framework, not a generic policy that never reaches the work.
We already have an AI policy. Isn't that enough?
Policies are necessary but rarely sufficient. Most teams need that policy operationalized: a living AI inventory, risk classifications, review gates in the AI lifecycle, and audit-ready documentation. We turn principles into controls people actually follow.
How do you handle bias, fairness, and ethics?
Legal compliance is necessary but not always sufficient for trust. We support periodic bias and fairness reviews, embed ethics review into AI decision-making, and set explicit criteria for use cases we recommend against, aligned with your existing ethics, DEI, and risk policies.
How do you keep humans in control of AI agents and automations?
We design AI agents and automations to operate within explicit policies and guardrails, with human-in-the-loop where required. Sensitive data stays in compliant environments, and every consequential action is logged so the audit trail keeps writing itself.
What does a governance-focused engagement look like?
We start with discovery and framework mapping, co-design and pilot governance on a subset of AI systems, then roll the patterns out across your AI portfolio with templates, checklists, and playbooks. We provide ongoing reviews as regulations and your AI footprint evolve.
Will this slow down our AI initiatives?
Our aim is the opposite. We move compliance from 'no-by-default' to collaborative, risk-aware enablement, so teams ship AI faster because the review gates, controls, and documentation are defined up front instead of discovered at launch.
Is this only for large enterprises?
No. We're built for regulated mid-market organizations, distinct from tech-first startups or the largest enterprises. Engagements typically involve both your compliance / legal and technology leaders from the start.
Start here
Need AI your compliance team can live with?
We help compliance, risk, and ethics leaders turn AI risk into a structured governance program, without freezing innovation. Bring your current AI risk concerns to a 30-minute working session and we'll map the path to governable, defensible AI.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ