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The problem

Most "AI for healthcare" tools are HIPAA violations waiting for an audit.

A surprising number of "AI patient assistant" SaaS products process PHI through public LLM APIs without proper BAAs, without proper data segregation, and without the audit trails an OCR investigation will demand. You don't need an AI consultant to tell you that's a problem — you need one who deploys AI without creating that problem.

PHI exposure

Patient data flowing through public AI APIs without a properly-scoped BAA is a reportable breach risk.

No audit trail

When OCR comes asking, you need to know exactly what data went where. SaaS AI tools rarely provide that visibility.

Patient trust

Patients increasingly ask whether their data is going through AI. The honest answer matters as much as the technical one.

Use cases

Three places we typically start.

Every engagement begins with a conversation about your specific bottleneck — but these are the patterns we see most often in healthcare firms. Each is a fixed-scope, fixed-fee engagement, typically 4-8 weeks.

Use case 1

Appointment scheduling agent

AI agent that handles inbound scheduling, cancellation, and rescheduling — including SMS confirmation flows and intelligent slot optimization. Reduced no-shows ~25% in our reference practice; saves ~15 hours/week of front-desk time.

Use case 2

Patient records analysis

Private AI that pre-reads charts before appointments, flags coding inconsistencies, drafts billing-ready encounter notes from clinician dictation. Improved billing accuracy and saves the reference practice ~$50K annually in coder hours and denied-claim rework.

Use case 3

Patient follow-up automation

Personalized post-visit messaging, treatment-plan reminders, and outcome check-ins. Boosted patient-reported satisfaction ~40% in our reference engagement; saves ~10 hours/week of clinical-staff time.

How it works

From first call to deployed system in 4-8 weeks.

Step 1

Bottleneck conversation

30-minute call to understand the specific workflow you want to automate. We tell you whether AI is the right answer — sometimes it isn't, and we say so.

Step 2

Fixed-scope engagement letter

Engagement letter with fixed scope, fixed fee, fixed timeline. No hourly billing, no scope creep, no surprises. Typical range $15K–$35K depending on complexity.

Step 3

Deploy in your environment

System runs in your infrastructure, on your data, behind your access controls. We hand off documentation, training, and a runbook for your team to maintain it.

Curious whether your bottleneck fits?

30-minute call, no pitch. We'll tell you honestly whether what you're describing is a good fit for a fixed-scope AI engagement — or whether you're better off with a different solution entirely.