For technology leaders
Turn the AI pilot graveyard into governed production.
You're under pressure to "do something with AI", without breaking security, compliance, or your team's capacity. We move you from scattered experiments and fragile scripts to a governed AI stack with access scoping, request logging, and an audit trail your security team and risk committee can sign off on. Right now, shadow AI and ad-hoc scripts are already moving PHI through ungoverned paths, the kind your risk committee and a HIPAA auditor will ask about.
For mid-market healthcare, life sciences & regulated businesses
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 reality
What CTOs tell us they’re actually dealing with.
The same conversations, every week, with technology leaders in regulated industries.
The AI pilot graveyard
You’ve funded experiments and POCs, but few reach stable production. Models live in notebooks, not in your mainline systems.
Shadow AI & unruly automation
Teams spin up their own scripts, bots, and tools, without review of security, data access, or long-term maintainability.
Talent & capacity constraints
You don’t have unlimited MLOps or AI platform engineers. You need leverage without more bespoke one-off builds.
Regulators and risk committees watching
Every new AI initiative means new scrutiny from security, compliance, and legal. You need patterns you can defend in front of them.
Integration complexity
EHRs, CRMs, data warehouses, queues, automations, nothing lives in isolation. You need AI that respects your architecture.
The next sections are exactly how we move you from that reality to governed, production-grade AI your security and risk teams can stand behind.
How we help
Make AI a responsible capability.
Where we start
Three quick wins that prove value fast.
Stabilize one critical workflow
Take a single high-friction workflow, clinical documentation summarization, ticket triage, a compliance reporting pipeline, and make it a stable, auditable, governed pattern.
Map AI readiness across your landscape
Run a Readiness & Governance assessment: where data is AI-ready, where risk is highest, and which use cases are worth prioritizing.
Standardize a pattern for LLM integrations
Define a reference architecture for how LLMs and agents integrate: data-access patterns, logging and guardrails, environment and CI/CD alignment.
Your stack
We fit the architecture you already run.
Pick the closest match, see what we plug into and how we keep it governed.
Microsoft / Azure-centric stack
We design agentic workflows and governed AI patterns inside your Microsoft ecosystem, aligned to your existing identity, security, and compliance controls.
- Azure & Azure OpenAI
- Power Automate
- Microsoft 365 & SharePoint
- Dynamics
What you get
Concrete outcomes, not vague promises.
3 weeks
from kickoff to independently productive engineers, against an incumbent plan of 12–16 weeks
93%
lower cost than the incumbent’s $400K+ quote, delivered for $28K, fixed-fee
Flagship engagement, 2025
A multi-billion-dollar distribution enterprise, 2,000+ associates · 122 locations, needed its engineering teams productive with Claude Code. Incumbents quoted 12–16 weeks and $400K+. Kriv AI delivered in three weeks for $28K, documented as it went:
- 12 live training sessions
- 26 training documents
- 5 role-specific starter kits
“A massive time saver.”
Governance posture
- NIST AI RMF-aligned delivery
- HIPAA-aligned, BAA available
- SOC 2 readiness documentation
- Clarity on where AI actually makes sense in your environment.
- A roadmap to move from pilots to governed production.
- Reference architectures for LLMs, agents, and automations in your stack.
- Fewer rogue scripts and shadow AI; more standard, defensible patterns.
- Artifacts your security and compliance teams can review and sign off on.
Working together
A specialist extension of your team.
Co-design with your architects
Architecture and workflow design sessions run with your architects, security, and operations teams.
Embed into your tooling
We work inside your Git, CI/CD, monitoring, and infra-as-code standards, not opaque side systems.
Transparent handover
We document patterns, configs, and workflows so your teams can maintain and extend them.
Governance & security alignment
We invite security, risk, and compliance into the conversation early.
Go deeper
Resources for technology leaders.
Representative use cases
- Bringing a stuck AI pilot into governed production
- Agentic automation for internal ticket triage in a clinical setting
- An MLOps & monitoring pattern for LLM-based summarization
Straight answers
CTO & technology-leader questions
Do you replace our internal data or AI teams?
No. We act as a specialized extension focused on governed AI, agentic automation, and MLOps. We design patterns your teams can own.
Can you work fully inside our Microsoft / Azure stack?
Yes. Many of our patterns are built around Azure, Microsoft 365, and Power Automate, aligning with your security and governance controls.
What if we already have AI pilots running?
Good. We can assess them, identify what's worth salvaging, and design a path to stable, governed production.
How do you handle PHI/PII and compliance requirements?
We assume regulated constraints by default. We design architectures where sensitive data stays in your controlled environment, and work closely with your security and compliance teams.
Do you require direct database access?
Not necessarily. We're comfortable working with APIs, curated views, or data products defined by your teams.
Are engagements small, large, or both?
We often start with a focused assessment or a single high-value workflow, then expand into broader MLOps or governance programs if there's a fit.
How much of this is consulting vs. hands-on build?
Both. We combine strategic assessments with hands-on design and implementation of workflows, agents, and integrations.
Do you work only in healthcare and life sciences?
That's our primary focus, but many patterns extend to other regulated mid-market domains. We're happy to discuss your specific context.
Start here
Turn AI experiments into a governed capability.
Pilot graveyards, shadow automations, pressure to 'do AI' safely, bring them to a 30-minute working session and we'll map a path from experiments to production your whole leadership team can stand behind.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ