Regulated Mid-Market
Enterprise AI, right-sized. Compliance built in.
Mid-market organizations in regulated industries face a specific problem: enterprise AI tools are oversized and overpriced, while freelancers deliver fast without governance. Kriv AI is built for exactly this gap, senior practitioners, fixed fees, governed delivery from day one.
For $50M–$500M healthcare, insurance, financial & professional-services firms
Team
Pricing
Governance
Audit trail
$50M–$500M
Target revenue range, right-sized for the actual work
Fixed-fee
No open billing, no scope creep, no surprise invoices
3 weeks
Typical time from kickoff to governed delivery
NIST
AI RMF-aligned governance on every engagement
Why mid-market is stuck
Too big for freelancers. Too risk-aware for ungoverned AI.
The squeeze every regulated mid-market leader knows: enterprise overhead on one side, ungoverned risk on the other.
Enterprise AI is oversized
The major SIs and platform vendors bring teams sized for $50M+ engagements and charge accordingly. Mid-market organizations get a junior delivery bench, a methodology built for Fortune 500 scale, and a change order when scope inevitably grows.
Freelancers are ungoverned
Freelance AI developers can build fast and cheap, but they don't build for the audit. No governance framework, no data lineage, no documentation that survives when the contractor moves on. That's a regulatory and operational risk, not just a quality issue.
The Kriv AI model
Fixed-fee, senior practitioners, scoped for the actual work. The same person who scopes the engagement delivers it. Governance is built in from the first sprint, not packaged as a premium add-on at the end.
What we deliver
Governed AI that actually goes to production.
01
AI readiness & governance assessment
4–6 week structured evaluation of your data posture, regulatory exposure, and AI maturity. Delivered as a prioritized governance roadmap your board and legal team can review.
AI Readiness & Governance02
Workflow automation
Replace manual review and approval chains with governed agentic workflows. Document classification, escalation routing, contract review, and exception handling, with audit trails and human override at every step.
Agentic AI & Automation03
Data pipeline engineering
Build the data foundation AI requires: ingestion from operational systems, transformation, quality validation, and lineage documentation. AI-ready infrastructure that IT can maintain without a full data team.
MLOps & Governance-as-a-Service04
LLM deployment for internal operations
Knowledge retrieval, document processing, and internal Q&A for regulated content, deployed within your own security perimeter with full access controls.
LLM Fine-Tuning & Custom Models05
Governance implementation
NIST AI RMF-aligned documentation, audit trail infrastructure, model monitoring, and human oversight frameworks, built for organizations that will face regulatory review.
AI Governance & ComplianceYour sector
We build for the obligations you actually carry.
Pick the closest match, see the compliance burden we design for and where governed AI lands first.
Healthcare-adjacent & life sciences
Sensitive records stay inside your controlled environment. We design retrieval, summarization, and triage so the audit trail writes itself, and your compliance team can defend every decision.
What we design for
- HIPAA-aligned data handling
- PHI access scoping & logging
- BAA-ready architecture
- Audit trails for every model call
What you get
Concrete outcomes.
4wk
From kickoff to a board-ready governance roadmap
1
Senior practitioner scopes the work, and delivers it
68%
Engagements scoped fixed-fee, with audit trails built in
- A prioritized governance roadmap your board and legal team can actually review.
- Governed agentic workflows with audit trails and human override at every step.
- An AI-ready data foundation your existing IT team can maintain.
- LLM deployments that stay inside your own security perimeter.
- NIST AI RMF-aligned documentation that survives regulatory review.
Who we work with
Organizations that can't afford to get AI wrong.
$50M–$500M regulated businesses
Healthcare-adjacent, insurance, financial services, professional services with compliance obligations. Too large for freelancers. Too risk-aware for ungoverned AI.
CIOs and CTOs evaluating AI
Technology leaders who own the integration surface, ERP, CRM, operational systems, and need a delivery partner who won't create new compliance exposure while building new capability.
Compliance and legal teams
Risk and compliance officers who will be asked to sign off on AI deployments. They need documentation, audit trails, and a governance framework they can actually defend.
Straight answers
Regulated mid-market questions
We're too small for the big SIs but too regulated for freelancers. Where do you fit?
Exactly that gap. We're sized for $50M–$500M organizations: senior practitioners, fixed fees, and governance built in from the first sprint, without the junior delivery bench, change orders, and enterprise overhead the major SIs bring.
What does a governance assessment actually produce?
A 4–6 week structured evaluation of your data posture, regulatory exposure, and AI maturity, delivered as a prioritized governance roadmap your board and legal team can review and act on. Not a slide deck, an artifact you keep.
How do you handle PHI, PII, and other sensitive data?
We assume regulated constraints by default and design HIPAA-aligned, access-controlled architectures where sensitive data stays inside your controlled environment. Every model call is logged, and we work directly with your security and compliance teams.
Is delivery fixed-fee or hourly?
Fixed-fee, scoped to the actual work. No open billing, no surprise invoices, and no scope-creep change orders. You know the price before we start.
Do you need direct access to our production systems?
Not necessarily. We're comfortable working with APIs, curated views, or access-controlled data products your teams define, so AI never gets raw production access it doesn't need.
Who actually delivers the engagement?
A senior practitioner. The same person who scopes the engagement delivers it, you don't get a polished pitch followed by a junior bench. Governance is part of their work.
Is this NIST AI RMF-aligned?
Yes. Governance documentation, audit-trail infrastructure, model monitoring, and human-oversight frameworks are aligned to the NIST AI Risk Management Framework, built for organizations that will face regulatory review.
Which industries do you work with?
Regulated mid-market: healthcare-adjacent and life sciences, insurance, financial services, and professional services with compliance obligations. If you carry a regulatory burden and can't afford to get AI wrong, we're built for you.
Start here
Right-sized AI for regulated companies. No overhead. No shortcuts.
30 minutes with the practitioner who delivers the work. Bring your data posture, your regulatory burden, and the workflow you want governed; you'll leave with scope, a governance framework, and an honest answer on fit.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ
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Flagship engagement, 2025, 2,000+ associates · 122 locations. From kickoff to independently productive engineers in 3 weeks.