AI Development for Healthcare: Pricing, Options, and When You Need an End‑to‑End Team
This guide is for healthcare operators who need something built — not a deck. It applies to hospitals, urgent cares, private practices, physician-founders, and operations leaders modernizing workflows. If you're looking for academic brainstorming or advisory-only discussion, this page won't help; it focuses on implementation.
What AI can do today
AI can reduce staff burden and speed decisions through:
- Patient messaging and triage automation
- Clinical documentation assistance
- Radiology reporting support
- Practice copilots and retrieval-augmented knowledge systems (RAG)
- Internal workflow automation (routing, intake, prior-auth prep, ops tasks)
Reality check: Successful deployment requires disciplined scope, clean data assumptions, and workflow alignment. "AI" is not a shortcut around process design.
Two pathways to AI (know the difference)
Consulting-only firms
These groups deliver strategy, roadmaps, and slide decks. They do not ship software. After the engagement ends, you still need engineers to build the application. Costs can be high, timelines long, and accountability fragmented.
End-to-end development teams
These teams design, build, integrate, deploy, and maintain your AI system. They handle data pipelines, model selection, front-end interfaces, security requirements, and post-deployment monitoring. There are no handoffs — just a working product with a single accountable delivery chain.
Realistic price ranges (order of magnitude)
Use these ranges to determine whether your project and budget align. Prices vary by scope and complexity, but this gives a real-world ballpark.
| Engagement type | Typical cost | Notes |
|---|---|---|
| Strategy & architecture | $3,000 – $15,000 | Scope the problem, identify data needs, and design high-level architecture + integration plan |
| MVP / pilot | $15,000 – $40,000 | Minimum viable product; often uses off-the-shelf models and simple interfaces |
| Production deployment | $45,000 – $150,000+ | Data engineering, security, integration, UX, monitoring, and reliability requirements |
| Ongoing maintenance | $1,000 – $6,000/mo | Hosting, updates, security upkeep, and support |
EHR integration, security requirements, uptime commitments, and data constraints drive cost more than the model itself.
How we work (to reduce wasted spend)
Step 1 — Spec Sprint (recommended)
We map your workflow, define requirements, identify constraints (security/integration), and produce a build plan with timeline and budget band. This prevents expensive rework and reduces the risk of building the wrong thing.
Step 2 — Build (end-to-end)
If it's a fit, we connect you with an end-to-end team and can remain involved as clinical product leadership as needed — so what gets built matches real clinical workflow.
Not sure AI is the answer? Start with an Evidence & Risk Memo →
Important boundary
Do not submit protected health information (PHI) or patient identifiers through our intake forms. We start with workflow and requirements first.
See our Security & Data Handling policy for details.
Related resources
- Tools overview
- Evidence & Risk Memos
- Advisory & Diligence — how we scope and support complex work
- Security & Data Handling
FAQ
Do you integrate with EHR systems?
Sometimes. Integration scope is defined during the Spec Sprint. Many projects start without integration and move to integration once workflow and value are proven.
Can you do this without PHI?
Many projects can start without PHI — using synthetic data, de-identified samples, or workflow-first prototypes. Production systems require appropriate compliance pathways.
What if I'm not sure AI is the right approach?
Start with an Evidence & Risk Memo. It's the fastest way to pressure-test claims, workflow fit, and adoption risks before you spend on a build.
Do you provide medical, legal, or financial advice?
No. We provide research, analysis, and product guidance.
Ready to scope your build?
If you want something built end-to-end, start with a short scope request. We'll route it to the right path.
Request a build scope