How we work
From AI ideas to governed production, without compliance chaos.
We move regulated teams from assessment to automation to production-ready AI, with governance built in from the first model call, not bolted on once security and compliance start asking questions.
HIPAA-aligned approaches · NIST AI RMF–informed governance · Built for regulated teams
Assess
→ Readiness & governance assessment report
Govern
→ Governance framework & policy pack
Build
→ Working system + role-specific starter kits
Validate
→ Evaluation logs & validation dossier
Operate
→ Runbooks & operating documentation
The method
Five chapters. Every one leaves an artifact.
A structured, compliance-aware path from first findings to a system your team owns. Walk through each chapter, every one hands you something you keep.
Chapter 01
Assess
We map your data, risk posture, and the work AI should actually do, no slideware, just findings.
What you keep
Readiness & governance assessment report
What you get
Tangible deliverables.
Every engagement leaves a shelf of artifacts your team, and your auditors, can open long after we've gone.
AI Readiness Brief
1–2 page executive summary of your AI readiness posture
Governance & Risk Register
Documented risks, mitigations, and ownership matrix
Data & Integration Map
Systems inventory, API landscape, and data flow diagrams
Evaluation Plan
Quality, safety, and compliance evaluation framework
Implementation Roadmap
30/60/90 day action plan with milestones
Operating Model
Roles, responsibilities, and decision rights framework
Security & Access Controls
Access control matrix and security checklist
Monitoring & Incident Playbook
Alerting rules, escalation paths, and response procedures
What clients actually receive
Not a claim. A shape you can look at.
Three representative artifacts from a typical engagement. The structure is real, the content below is generic and illustrative, never a specific client's data.
| Actor | Action | Data | Authority | Timestamp |
|---|---|---|---|---|
| clinician-assist agent | read_patient_summary | scope: demographics only | RBAC role: care-coordinator | 2026-01-14 09:12:03 UTC |
| analyst agent | query_claims_table | scope: de-identified rows | policy: PHI-redacted view | 2026-01-14 09:14:41 UTC |
| system | policy_check_denied | scope: full record (blocked) | RBAC: insufficient | 2026-01-14 09:16:12 UTC |
| governance reviewer | approve_escalation | case #4821 | human-in-the-loop sign-off | 2026-01-14 09:18:57 UTC |
Illustrative — structure of the audit log every governed request writes to, not a real client's data.
starter-kit/
governance/
policies.md
risk-register.md
prompts/
system/
templates/
evals/
golden-set.jsonl
eval-runner.md
runbooks/
incident-response.md
escalation-path.mdIllustrative — the generic shape of the starter kit each engineer gets on day one, tuned to your own stack in practice.
- 01
Scope & data boundaries
- 02
Access control model
- 03
Human-in-the-loop gates
- 04
Audit & monitoring
- 05
Escalation path
Illustrative — the section headers a governance one-pager ships with, not a specific client's document.
Ways to engage
Three ways in, sized to where you are.
Start with clarity, ship one workflow, or hand us continuous oversight. Each begins with the same 30-min AI Readiness Check.
Fixed Scope
Readiness & Governance Assessment
2–4 weeks
Leaders who need clarity and an action plan before committing to implementation
- AI Readiness Brief
- Governance Gap Analysis
- Prioritized Use Case Portfolio
- 30/60/90 Roadmap
Project Based
Pilot to Production
4–10 weeks
Teams ready to build one high-impact workflow or agent and ship safely
- Production-ready Solution
- Monitoring & Alerting
- Documentation & Training
- Handoff Support
Retainer
Governance-as-a-Service
Ongoing
Organizations needing continuous oversight, monitoring, and optimization
- Monthly Audits & Reviews
- Drift Monitoring
- Policy Updates
- Continuous Optimization
Built-in governance
How we de-risk regulated AI.
Governance and risk management are designed into every phase, so the system your team ships is one your security, compliance, and legal partners can defend.
We align to recognized frameworks and best practices; we do not claim formal certifications unless explicitly stated.
Data minimization and PHI/PII boundaries
We design with least-privilege access and clear data boundaries from day one.
Human-in-the-loop approvals where needed
Critical decisions include human review gates before execution.
Audit logs and traceability
Every action is logged with timestamps, actors, and decision context.
Access control, secrets management
Role-based access and secure credential handling throughout.
Vendor review + privacy/security considerations
Third-party tools are vetted for compliance and security posture.
Model evaluation + drift monitoring
Continuous evaluation of model performance and output quality.
Clear escalation path for incidents
Documented procedures for issue resolution and stakeholder communication.
Example timeline
Discovery to production in 90 days.
A typical engagement arc. Yours flexes with complexity, but the shape holds.
First 30 Days
Discovery & Quick Wins
- Stakeholder interviews
- Data & systems inventory
- Governance gap analysis
- Quick wins identification
- Readiness assessment
Next 60 Days
Pilot & Governance
- Pilot scope definition
- Agent/automation build
- Evaluation framework
- Governance guardrails
- Testing & validation
By 90 Days
Production & Handoff
- Production deployment
- Monitoring instrumentation
- Operating model handoff
- Team training
- Ongoing support plan
Straight answers
Questions teams ask before they start.
Do you need our data to leave our environment?
No. We can work entirely within your environment using private cloud, on-prem, or hybrid patterns. Data residency and sovereignty requirements are respected.
Can you work with on-prem or private cloud?
Yes. We have experience with Azure Government, AWS GovCloud, private VPCs, and air-gapped environments. We adapt our tooling to your infrastructure constraints.
How do you handle PHI/PII?
We design with data minimization first. When PHI/PII is necessary, we use anonymization, tokenization, and strict access controls. We do not store or process PHI/PII on our systems without explicit agreements.
How long does a readiness assessment take?
Typically 2–4 weeks depending on organizational complexity. We can run a focused 2-week sprint for smaller teams or a comprehensive 4-week assessment for enterprise environments.
What size companies do you work with?
We focus on regulated mid-market companies (100–2,000 employees) in healthcare, life sciences, and insurance. We also work with enterprise teams on specific AI governance initiatives.
Start here
Get a governed AI roadmap in 30 minutes.
Bring your AI initiatives, your governance constraints, and the questions your compliance team keeps asking. In one working session we'll map the path from where you are to production you can defend.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ
“A massive time saver.”
Flagship engagement, 2025, 2,000+ associates · 122 locations. From kickoff to independently productive engineers in 3 weeks.