Supply chain & finance
Invoice ingest and three-way match, vendor-contract summaries, par-level reorder alerts.
Healthcare AI · Rural and critical-access hospitals
The AI automations Boston Children's used to save ~$7M — built for your rural hospital, on the Microsoft licensing you already own.
A flagship hospital proved AI automation pays for itself. We bring the same playbook to critical-access and rural hospitals — governed before it's turned on, with no $50M budget and no in-house AI team.
What a flagship hospital just proved
The proof of concept for clinical AI automation is finished.
In 2026, Boston Children's Hospital reported 50+ AI automations, tens of thousands of staff hours saved, and roughly $7M in redeployed labor — with more than a third of employees using AI daily. The automations weren't exotic: supply-chain invoice processing, operating-room scheduling, predictive bed-capacity modeling, patient-message drafting, translation, discharge planning. The only real question is how a rural hospital captures it.
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50+
AI automations in production across operations and clinical support.
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Tens of thousands
Of staff hours saved and redeployed to higher-value work.
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~$7M
In redeployed labor, with more than a third of employees using AI daily.
Boston Children's Hospital's results are its own publicly reported figures, cited as evidence the category works. Centered Networks is not affiliated with Boston Children's.
The catch — and the reframe
Everything that makes this look out of reach is the part that doesn't apply to you.
| The catch | The reframe |
|---|---|
| Boston Children's got there with a reported $50M OpenAI partnership and a hired AI team. | A rural hospital doesn't need either. |
| The headlines make AI automation look like a big-system capability. | The same automations run on Microsoft 365, Copilot, Power Platform, and Azure OpenAI. |
| They had to build a custom platform. | You'd be turning on what you're already licensed for — often at Microsoft nonprofit / rural pricing. |
Governed before it's turned on
The risk isn't that AI fails. It's that it succeeds on the wrong data.
Staff are very likely already pasting PHI into consumer chatbots outside your environment, your retention rules, and your audit trail. Every automation we deploy ships on a governance baseline first.
Microsoft Entra
Identity and access controls, scoped to PHI-cleared roles and devices, before any automation goes live.
Microsoft Purview
Data-loss prevention and sensitivity labels, so PHI doesn't leak into an AI answer.
CIS Top 18 IG1
A security posture hardened to the baseline your auditor and your cyber-insurer expect.
So every automation is defensible to your board, your auditor, and your cyber-insurer. Any partner can turn on Copilot. We make it safe enough to take to the board.
How to start
Three steps, each fixed-scope, each yours to keep.
1. Discovery Sprint
See your exposure and your best payback
A fixed-scope review of your tenant, identity, AI exposure, and the automations with the best payback.
Start a Discovery Sprint →2. AI Quickstart
Deploy your first automations
A fixed-scope deployment of your first automations — governed, measured, yours to keep.
See the AI Quickstart →3. CompleteCare
Run it as a managed platform
Month-to-month managed platform — ongoing security, compliance, identity, and AI operations. No lock-in.
Explore CompleteCare →Funding
There may be more than one way to pay for this.
Microsoft licensing value and Microsoft partner funding can offset project cost. Qualifying rural hospitals may be eligible under the Rural Health Transformation Program — the part we handle is scope, pricing, use-of-funds mapping, and deployment.
Questions
Frequently asked questions.
“We're not really doing AI yet.”
In practice, your staff usually are — on PHI, in consumer tools, with no governance behind it. Step one is simply seeing your exposure.
“We don't have the IT staff for this.”
That's the point. We build and govern it; your team keeps running the hospital. No new headcount required.
“Isn't this risky with HIPAA?”
Done ungoverned, yes. Done governed-first on your Microsoft stack — identity, DLP, audit logging in place before any automation goes live — it's more defensible than the shadow-AI you have today.
“Are you locking us into a contract?”
No. Month-to-month, 30 days' notice, and you keep every asset we build.
Why Centered Networks
Governance-first AI, built for healthcare realities.
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Governance-first AI.
Board- and auditor-ready: every automation ships on identity, DLP, and audit logging before it goes live.
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5 Microsoft Solutions Partner designations
Including Data & AI and Security, verified by Microsoft.
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Built for healthcare realities.
HIPAA alignment, identity, resilience, and compliance — not generic MSP work.
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No lock-in.
You keep what we build. Month-to-month, 30 days' notice.
Boston Children's proved the destination. Let's map your shortest path to it.
Start with a fixed-scope Discovery Sprint: we map where AI is already in use, what you're licensed for, and the three to five automations with the best payback — governed first, measured, and yours to keep.
Prefer to see the rural hospital practice first? See the rural hospital practice →
Thanks, we've got it.
A senior member of our team will reach out within one business day.