From AI Ideas to Governed Production — Without Compliance Chaos.
Kriv AI helps regulated teams move from assessment → automation → production-ready AI with governance built in.
Our 5-Step Delivery Method
A structured, compliance-aware approach to delivering governed AI solutions.
Discover
Stakeholder interviews, goals, constraints, risk tolerance, success metrics.
What Happens
We meet with key stakeholders across IT, data, compliance, and business units. We understand your current state, constraints, and definition of success.
What You Get
Discovery Brief with stakeholder map, goals alignment, and risk tolerance profile.
Diagnose
Data readiness, workflows, systems integration, compliance requirements, governance gaps.
What Happens
Deep-dive into your data landscape, existing workflows, integration points, and regulatory requirements. We identify governance gaps and quick wins.
What You Get
AI Readiness Assessment with maturity scoring, gap analysis, and prioritized opportunities.
Design
Target architecture, agent workflows, human-in-the-loop controls, evaluation plan, security posture.
What Happens
We design the target architecture, define agent workflows with appropriate controls, and create an evaluation framework for quality and safety.
What You Get
Solution Blueprint with architecture diagrams, workflow designs, and governance framework.
Deliver
Build pilots and production increments, instrument monitoring, documentation, handoff.
What Happens
We build in iterative sprints, starting with a pilot scope. We instrument monitoring, create documentation, and prepare for handoff.
What You Get
Production-ready solution with monitoring dashboards, runbooks, and training materials.
Govern
Ongoing audits, drift monitoring, policy updates, vendor review, continuous improvement.
What Happens
Continuous governance with scheduled audits, drift detection, policy updates, and vendor reviews. We optimize based on real-world feedback.
What You Get
Governance Reports, updated policies, and continuous improvement recommendations.
What You Get
Tangible deliverables at every stage of your AI journey.
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
Engagement Models
Flexible options to match your stage and needs.
Readiness & Governance Assessment
Timeline: 2–4 weeks
Best for: Leaders who need clarity and an action plan before committing to implementation
Key Outputs
- AI Readiness Brief
- Governance Gap Analysis
- Prioritized Use Case Portfolio
- 30/60/90 Roadmap
Pilot to Production
Timeline: 4–10 weeks
Best for: Teams ready to build one high-impact workflow or agent and ship safely
Key Outputs
- Production-ready Solution
- Monitoring & Alerting
- Documentation & Training
- Handoff Support
Governance-as-a-Service
Timeline: Ongoing
Best for: Organizations needing continuous oversight, monitoring, and optimization
Key Outputs
- Monthly Audits & Reviews
- Drift Monitoring
- Policy Updates
- Continuous Optimization
How We De-Risk Regulated AI
Governance and risk management built into every phase.
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.
We align to frameworks and best practices; we do not claim formal certifications unless explicitly stated.
Example Timeline: 30/60/90 Days
A typical engagement timeline from discovery to production.
Discovery & Quick Wins
- Stakeholder interviews
- Data & systems inventory
- Governance gap analysis
- Quick wins identification
- Readiness assessment
Pilot & Governance
- Pilot scope definition
- Agent/automation build
- Evaluation framework
- Governance guardrails
- Testing & validation
Production & Handoff
- Production deployment
- Monitoring instrumentation
- Operating model handoff
- Team training
- Ongoing support plan
Ready to get a governed AI roadmap in 30 minutes?
Book a quick call to discuss your AI initiatives, governance needs, and next steps.