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AI Engineering for Hospitals & Clinics

We embed AI engineers in your operation to automate the admin work that scales with patient volume — billing, credentialing, compliance, reconciliation.

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What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Data Entry Automation

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Your team re-types data from one system to another. We eliminate that.

claims data patient records lab orders insurance forms referrals

Billing, Payments & Reconciliation

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Your finance team spends days matching payments to services. We do it in minutes.

ERA matching denial management payer reconciliation aging AR

Compliance & Audit Readiness

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Every audit is a fire drill. We keep you ready all the time.

Joint Commission HIPAA CLIA state licensing credentialing

Incoming Request Processing

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Requests come in from everywhere in every format. We read, classify, and route them.

prior auth requests referrals patient intake credentialing apps

Report & Dashboard Consolidation

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Your data lives in 5 systems. Getting one report means asking 3 people. We consolidate it.

multi-facility P&L quality metrics payer mix reports board decks

Client Follow-up & Communication

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Reminders, follow-ups, status updates — every touchpoint your team does manually.

appointment reminders result delivery payment follow-ups patient outreach
See How We Work →
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Common Questions About AI for Hospitals

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your operation — watching your team work, mapping your document flows, measuring your volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes documents in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts managing exceptions instead of processing everything manually. The transition is gradual, not a big bang.
What happens if the AI makes a mistake?
Every workflow has a confidence threshold. Below it, the document routes to human review — same as your current process. The AI shows its work: which fields it extracted, what confidence level, and why it flagged something. Your team corrects errors, and the AI learns from each correction. Error rates decrease over time, not increase.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: documents processed per hour, error rate, time-to-completion, cost per transaction, and revenue recovered. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we have a problem — and we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most healthcare organizations start with one workflow, prove the ROI, then move to a dedicated team. Every engagement starts with a free 30-minute assessment — no commitment.
Do we need to replace our EHR/LIS/billing system?
No. We build on top of your existing systems. We've integrated with Epic, Cerner, Meditech, and every major LIS. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.

Your operations are too complex for manual processes.

Book a free 30-minute AI Assessment. We'll map your highest-volume workflows and show you the 3 processes with the highest ROI.

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