AI Procurement Checklist for Healthcare CIOs
A practical checklist for evaluating AI vendors and AI projects in healthcare — the questions to ask before money moves and the red flags to watch for in vendor responses.
HealthcareProcurement
HealthcareLegalCompliance & Finance
We build AI that holds up.
Custom AI systems and software for healthcare, legal, and compliance-driven teams — designed to be auditable, secure, and ready for production.
We work with teams handling sensitive data, regulatory oversight, and real operational risk. If your AI system needs to survive audits, legal review, and production traffic — you're in the right place.
Who we serve
Healthcare, legal, and compliance-driven organizations
We partner with teams that operate under regulatory oversight and handle sensitive data. If your systems need to be auditable, secure, and production-ready — we designed our practice around exactly that.
- Healthcare & Health Tech
- AI architecture, data pipelines, and automation designed for PHI, claims, and clinical workflows.
- Legal & Professional Services
- Private, retrieval-first AI systems that protect confidentiality and reduce risk.
- Compliance-Driven Organizations
- AI systems designed to work with compliance teams, not around them.
What we do
We design AI systems — not sell AI tools
Everything is designed to ship, scale, and withstand scrutiny.
- Retrieval-first AI (RAG) architecture
- Secure, cloud-native data pipelines
- Model guardrails and hallucination mitigation
- Compliance-aware system design (HIPAA, SOC 2 patterns)
Our process
How we work
A structured approach that respects your constraints and delivers incrementally.
01
Discover
Clarify goals, constraints, compliance requirements, and system architecture.
02
Foundations
Establish secure environments, access controls, and CI/CD pipelines.
03
Build
Iterative delivery of vertical slices — front-end, back-end, and automation working together.
04
Secure & harden
Implement access controls, logging, monitoring, and compliance guardrails.
05
Launch & evolve
Guide your rollout and adoption, and continuously improve based on real-world use.
Why Tampa Dynamics
Built for regulated data from day one
- Architecture-first, not demo-first
- Designed for audits, not pitch decks
- Cloud-native on AWS and Azure
- If you need something flashy, we're not a fit. If you need something defensible, we probably are.
From the blog
Latest insights
Why AI Pilots Stall in Financial Services
Most AI pilots in financial services do not fail technically. They stall in the gap between an interesting demo and a production system that risk and compliance can sign off on.
Financial ServicesAI
BAA-Ready AI: What to Ask Vendors
The specific questions that separate AI vendors who can support a HIPAA workload from vendors who say they can. A practical guide for healthcare buyers in early evaluation.
HIPAABAA
Ready to talk architecture?
Most teams start with a short, focused review. No pitch deck. No pressure.