For compliance, risk & legal leaders
AI you can explain, govern, and defend.
Governed AI and automation for healthcare and life-sciences teams, every action scoped, logged, and human-gated.
We scope each system to one approved use case and the data it actually needs. A named policy you own, not the vendor, sets the rules. A human gate stands before anything downstream. And every request and output is logged for audit.
Claude Partner Network member · AWS Marketplace seller · HIPAA-aligned, BAA available · SOC 2 readiness
This page is not legal advice. Your internal policies and counsel remain the final authority.
- Action
Summarize intake note
scoped to one approved use case
- Data touched
1 record · de-identified
minimized, nothing else in scope
- Authority
Care-ops policy v3
named internal owner
- Human gate
Clinician review required
before any downstream use
- Logged
Request + output retained
reviewable in an audit
The reality
What compliance & risk teams are actually worried about.
The same concerns we hear, every week, from compliance, legal, and risk leaders in regulated industries.
Opaque AI decisions
Models and agents making recommendations or taking actions that are hard to explain to clinicians, customers, regulators, or the board.
Our answer:Audit-trail ledger on every governed step, actor, action, data, and authority, plus a risk-and-limitations register shipped with the system.
Uncontrolled PHI/PII exposure
Sensitive data passed into third-party tools, LLMs, or automations without clear boundaries, contracts, or safeguards.
Our answer:Data-minimized flows scoped to one use case, a signed BAA where PHI is in play, and no training on your data.
Shadow AI & unapproved tools
Teams adopting AI tools or automations without review, leading to hidden risk you only discover after the fact.
Our answer:A written scope memo checked against your acceptable-use policy, so an approved tool and an out-of-bounds one are never a judgment call.
Audit & documentation gaps
No clear logs, decision trails, or documentation to answer: 'What did this system do, using which data, and under whose authority?'
Our answer:Audit-trail ledger, request and output retained, exportable for audit, and a data-flow diagram of every place data leaves your environment.
Unclear accountability
If something goes wrong, it isn't obvious who owns the decision, the vendor, the system, or internal teams.
Our answer:A named scope owner (not the vendor), gates mapped to your RBAC roles, and a human-in-the-loop sign-off before anything downstream.
Our stance
We designed our approach so these concerns are addressed deliberately, not dismissed as “slowing things down.”
How we help
Governance, transparency, and risk awareness, built in from the start.
AI readiness & governance, with compliance involved
Our AI Readiness & Governance Assessment explicitly includes governance, risk, and compliance dimensions, not just technical feasibility.
AI Readiness & Governance AssessmentArchitectures built around PHI/PII constraints
We design workflows, data flows, and controls assuming sensitive data must be protected, minimized, and traceable from day one.
Security, Privacy & CompliancePatterns that are explainable and auditable
We prefer patterns that let you explain what the system is allowed to do, what data it can touch, and how decisions are logged and reviewed.
AI Ethics & Responsible UseBuilt for your context
Designed with regulated contexts in mind.
We adapt to your internal policies and jurisdictional requirements, rather than assuming a one-size-fits-all standard.
Healthcare & life sciences
We are used to constraints around health information, clinical workflows, and oversight committees.
Data privacy & sensitive information
We assume privacy and confidentiality, PHI/PII, financial data, sensitive internal documents, are central concerns, not edge cases.
Audit, oversight & documentation
We design deliverables and system behaviors so you can show your work to auditors, internal review boards, or risk committees.
What we build in
The controls that let you explain, defend, and govern what you deploy.
Pick a control, see what it gives you and the audit question it answers.
Documented use-case boundaries
We write down what the system is for, and, just as importantly, what it is not allowed to do, before anything ships. The line between approved and out-of-bounds is set in a scope memo, never a judgment call made under pressure.
Answers the audit question
“What is this system allowed to do?”
- A scope memo checked against your acceptable-use policy
- Explicit out-of-scope list
- A named scope owner, not the vendor
Working together
You shouldn't have to keep saying "no."
We co-design options you can say "yes" to, with compliance, risk, and legal in the room.
We invite you in early
We bring compliance and risk into the conversation early, rather than presenting a 'finished' system for rubber-stamping.
A shared understanding of risk appetite
We work with you and business leaders to understand acceptable vs. unacceptable risks for a given use case.
Structured reviews at key points
We're comfortable pausing for checkpoints where you review data categories, system scopes, and deployment plans.
Clear ownership
We help clarify where Kriv AI's responsibilities end and where internal owners, compliance, IT, operations, take over.
Our boundaries
What we will not build.
Our ethical stance includes clear boundaries on what we decline, even when it's technically possible. That reduces your exposure to whole categories of risk from the start.
4
regulated verticals served, healthcare, life sciences, insurance, finance
3
delivery frameworks we align to: NIST AI RMF, HIPAA (BAA available), SOC 2 readiness
100%
of engagements scoped, logged, and reviewable by design
Systems designed primarily for deception or fraud.
Projects that disregard basic obligations around PHI/PII or sensitive-data handling.
AI deployments with no realistic path to oversight, logging, or appeal.
Use cases explicitly aimed at unlawful discrimination or denial of essential services.
Go deeper
Use cases & resources for compliance teams.
Relevant use cases
- AI readiness & governance assessment for a mid-sized healthcare provider
- Designing a HIPAA-aligned agentic automation for clinical operations
- Documented MLOps & audit patterns for LLM-based summarization
Independently verifiable
Proof a skeptic can open in a new tab.
Not a logo wall, each of these is an external record you can check yourself, no call required.
Auditor-checkable artifact
HIPAA-Aligned AI Governance FrameworkA live listing on the AWS Marketplace, third-party-hosted, so the engagement is on record somewhere you don’t have to take our word for.
Governance posture
- NIST AI RMF-aligned delivery
- HIPAA-aligned, BAA available
- SOC 2 readiness documentation
Straight answers
Compliance, risk & legal questions
Is this page or your work a substitute for legal advice?
No. We support your teams with design and documentation, but your internal legal and compliance functions remain the authority on regulations and policy.
How do you handle PHI/PII in AI and automation projects?
We assume sensitive data constraints from the start. We favor architectures where sensitive data remains in your controlled environment, access is minimized and logged, and external tools see only what is strictly necessary.
Can you work with our internal policies and frameworks?
Yes. We aim to align with your existing policies (privacy, security, risk, data classification) rather than imposing our own.
Do you provide documentation that can be used in audits or reviews?
We can produce high-level diagrams, descriptions, and process notes that help you explain the systems to auditors and review bodies.
What if we are uncomfortable with a proposed use case or design?
We expect that to happen sometimes. We're comfortable revising, narrowing, or declining use cases when they don't fit your risk appetite.
Can you help us review existing AI or automation projects for risk?
Yes. Through an AI Readiness & Governance lens, we can help you assess existing systems and recommend mitigations or redesigns.
Are you willing to speak directly with our compliance or ethics committee?
Yes, where appropriate. We can help explain design choices, guardrails, and limitations in accessible language.
Do you have fixed methodologies, or can they be adapted to our sector?
We have structured approaches, but they are designed to adapt to different regulatory regimes and organizational policies.
What every engagement carries
- NIST AI RMF-aligned delivery
- HIPAA-aligned, BAA available
- SOC 2 readiness documentation
Start here
Want AI projects compliance can stand behind?
If you're being asked to sign off on AI and automation but you're not convinced the risks and controls are clear, bring it to a 30-minute working session, we'll walk through practical options with you and your technical teams.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ