Healthcare AI Consulting
We help healthcare organizations, from clinical and pharma to digital health companies and health systems, decide where AI fits before they commit budget.
Schedule a free AI consultation
Decide on AI with evidence from your own data
Many healthcare AI projects stall for reasons that have little to do with the model: poor data readiness, a use case that doesn't pay off, or a regulatory path discovered too late. We help you find that out before you spend on development.
Our consulting is vendor-agnostic and built on evidence from your own data. You get a ranked set of use cases, a build-versus-buy recommendation, and a compliance and risk review aligned with HIPAA, FDA SaMD guidance, ISO 42001, and the EU AI Act, so each next step is a decision you can defend.
Our healthcare AI consulting services
From the first question to a go or no-go decision, we cover the steps that come before development.
AI readiness assessment
A focused engagement that audits your data readiness, candidate use cases, and technical feasibility, and maps the regulatory path. No code is written. You leave with a delivery roadmap.
AI proof of concept (PoC)
We test one use case on your data with offline evaluation and report on accuracy and feasibility, so you know whether the model works before you build around it.
AI pilot
We run one clinical or operational workflow in a live setting with a limited user group and monitoring, so you see how the solution performs in practice.
AI & ML audit
Our lead experts run comprehensive audits of your AI models and underlying infrastructure to check for hidden bias, model drift, data leakage, and performance decay. We don't just diagnose; we also repair by fine-tuning architectures, optimizing data pipelines, and recalibrating hyperparameters.
When do you need AI consulting?
You know AI could help but don’t know where to start
Your board is asking for an AI strategy you don’t have yet
You’re evaluating AI vendors and can’t tell if their claims hold up
You have clinical data but no clear case for where it creates ROI
You need regulatory sign-off before committing development budget
You want to avoid the cost of a failed pilot
What artificial intelligence consulting covers
Depending on your goals, we run a focused AI readiness assessment, a proof of concept, or a pilot, each built to turn open questions into evidence you can act on.
Current-state assessment
We map your existing healthcare data infrastructure, clinical systems (EHR, LIS), data quality, and team readiness, then identify where AI can reduce manual load in healthcare operations or improve patient outcomes.
Use-case prioritization
We score AI opportunities by feasibility, ROI potential, regulatory risk, and implementation timeline, delivering a ranked roadmap your executive team can present to the board.
Build-vs-buy analysis
We evaluate off-the-shelf AI solutions against a custom development path for your top 2-3 use cases, giving you an unbiased recommendation based on your data, your team, and your budget, not on a vendor relationship.
Compliance and risk review
We assess AI transparency and explainability requirements under the EU AI Act, FDA SaMD guidance, and ONC information-blocking rules, delivered as a risk register your legal team can act on.
Your AI in healthcare starting point
Find out which engagement fits where you are with AI.
Step 1
AI readiness assessment
$15,000–$40,000+
Scope
Data, use-case, and feasibility audit, regulatory path
Environment
Nothing built, analysis only
Outcome
Delivery roadmap
Step 2
AI proof of concept
$30,000–$60,000+
Scope
One use case on your data
Environment
Offline, on your data
Outcome
Accuracy and feasibility report
Step 3
AI pilot
$70,000–$140,000+
Scope
One clinical or operational workflow, limited user group, monitoring
Environment
Live, in your workflow
Outcome
A working pilot or MVP
Indicative ranges. A binding estimate follows a discovery call.
Schedule a free AI consultationHow we approach AI adoption
Our team works with yours to answer your questions before you commit any development budget.
Our clients say it better
Why choose Orangesoft as your healthcare AI consulting partner
We don't recommend AI for its own sake. We dig into your data, workflows, and constraints to find where AI pays off, and where it doesn't.
Client-focused
We never stick to a particular provider, so our recommendations fit your needs, not a vendor's roadmap.
Accountable for the outcome
We care about the outcome of your AI initiative, not just the report. Our team takes ownership of the roadmap we deliver, flags risks early, and helps you avoid the cost of a failed pilot.
Deep healthcare expertise
15+ years and 300+ projects, with HIPAA, EU AI Act, FDA SaMD, ISO 42001, and IEC 62304 built into the roadmap.
Ecosystem approach
Partners for regulatory, legal, and funding questions, and an engineering team ready to build.
Questions you might have
Schedule a free consultationWhat is healthcare AI consulting?
Healthcare AI consulting helps clinical, pharma, and digital health organizations assess where AI creates measurable value, evaluate technical feasibility, and produce an implementation roadmap before committing any development budget. A consulting engagement typically covers current-state data assessment, use-case prioritization, build-vs-buy analysis, and compliance risk review under HIPAA, FDA SaMD guidance, and the EU AI Act.
What is an AI readiness assessment?
An AI readiness assessment checks whether your organization is ready to build AI. It covers a data, use-case, and feasibility audit, the regulatory path, and a delivery roadmap, and it involves no code.
How much does an AI readiness assessment cost?
An AI readiness assessment typically costs $15,000–$40,000+, depending on the state of your data, the number of use cases, and the regulatory path. Ranges are based on Orangesoft's delivery experience, so contact us for a project-specific estimate.
What is the difference between an AI proof of concept and a pilot?
A proof of concept tests one use case on your data offline and ends in an accuracy and feasibility report. A pilot runs one clinical or operational workflow in a live setting with a limited user group and monitoring. In short, a proof of concept shows whether the model works, and a pilot shows whether it works in your workflow.
- 1. Intro callDuring a 30-minute meeting, our healthcare AI expert learns about your goals, data, and use case, and recommends the right starting point.
- 2. ScopingWe agree on the use cases to assess and the data we need access to, under an NDA if you wish.
- 3. ProposalYou receive the scope, deliverables, and estimate for the assessment, proof of concept, or pilot.
