Who it's for
Hospital and health-system leaders, practice owners and administrators, and clinic operators who are being sold AI from every direction and want an independent partner who has built clinical software. We do not resell a vendor. We pick what fits, build what does not exist, and integrate it so it works inside the systems and the compliance posture you already have. AI integration services and AI implementation services for healthcare are a different discipline from generic business automation: the data is protected, the workflows are clinical, and the failure modes carry real consequences.
What's included
- AI opportunity assessment — we map your clinical, administrative, and revenue-cycle workflows and identify the few where AI removes real hours or real risk, with the economics and the compliance implications of each.
- Vendor selection and validation — ambient documentation, coding, prior authorization, patient messaging, scheduling, and triage tools evaluated on your data and your workflows, not on the demo.
- Custom AI systems — language-model agents and automations for the workflows no vendor covers: intake, document processing, referral management, inbox triage, quality reporting, and more.
- EHR and systems integration — FHIR, HL7, and vendor APIs so the AI reads from and writes to Epic, Oracle Health, athenahealth, or your practice-management system instead of living in another tab.
- HIPAA and governance — a Business Associate Agreement with every model provider in the path, PHI minimization, logging, access control, and an AI governance policy your compliance officer and board can sign.
- Clinical safety and evaluation — human-in-the-loop design, evaluation sets built from your own cases, monitoring for drift, and the evidence a medical director will ask for before go-live.
- Adoption and training — role-based training, a champion in each department, and usage metrics so you know whether the investment is working.
How it runs
- IdentifyThree weeks of workflow mapping and interviews across clinical, administrative, and revenue teams, ending in an opportunity map ranked by value, effort, and risk.
- BuildSix to twelve weeks to configure or build the first solution, integrate it with your systems, and evaluate it on your data with a pilot group under a governance policy agreed up front.
- AdoptTraining, department-by-department rollout, monitoring, and handoff to your team or to a managed-support retainer.
Questions
Do you resell a particular AI vendor?
No. We are paid by you, not by vendors. When a product fits we help you choose, contract, and integrate it; when nothing fits we build it. Either way you own the result and the data.
Can AI touch protected health information safely?
Yes, with the right setup: a Business Associate Agreement with every model provider in the path, PHI minimized before it reaches a model, logging and access control, and a governance policy that states what the AI may and may not do. We put that in place before the first pilot, not after.
What does a typical first project look like?
Most organizations start where the hours are: ambient documentation for clinicians, inbox and referral triage, prior authorization, or intake and document processing. The assessment ranks these for your organization, and the pilot proves the value in one department before anything scales.
We are a small practice. Is this for us?
Yes. The assessment scales to the organization. For a small practice it is often a two-week engagement that ends with one or two automations running and a clear decision on ambient documentation, with the compliance paperwork done.
Related services
Scope it in 30 minutes
Book a scoping call and we'll tell you whether AI is worth it for your organization yet, and where. Most hospitals and practices start with the three-week opportunity assessment.
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