oufi Solutions
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What GDPR actually requires from any company deploying AI agents
Most teams shipping an AI agent in Europe treat GDPR as a checkbox at the end of the project: add a cookie banner, write a privacy policy, done. That's not what
Articles
Deeper dives into how we build and what we've learned.
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Inside an AI agent: how autonomous systems actually decide what to do
"Agentic AI" gets thrown around loosely enough that it's worth being precise about what actually happens when an agent decides to take an action, instead of jus
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Why end-to-end encryption is non-negotiable for healthcare AI
Every healthcare software vendor says their product is "secure." Almost none of them can explain what that word actually covers. For an AI agent that touches pa
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AI in radiology: how machine learning is changing diagnostic imaging, and where it isn't
Radiology is one of the few corners of medicine where AI has moved past pilot projects into daily clinical use in some hospitals — and also one of the clearest
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Electronic health records and the interoperability problem AI can't fix alone
The pitch for a healthcare AI agent usually assumes a clean, unified patient record sitting somewhere waiting to be queried. In practice, that record doesn't ex
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The case for zero-trust architecture in clinical AI deployments
The traditional security model for a hospital network assumed a hard perimeter: firewall the outside world out, trust everything inside. That model was already
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Why agentic AI needs to be built on data privacy, not bolted onto it
Anyone can wire an agent up to a large language model in an afternoon. The hard part — the part most agent builders skip — is what happens to your data once tha
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Telemedicine's data problem: privacy at the edge of healthcare
Telemedicine solved a real access problem — patients who couldn't easily reach a clinic can now see a doctor from home. It also created a category of privacy ri
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Remote patient monitoring: when your wearable becomes part of your medical record
A consumer smartwatch tracking your heart rate is a lifestyle gadget. The same sensor, prescribed by a cardiologist to monitor a patient recovering from a proce
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Explainability isn't optional: why clinicians won't trust a black-box agent
A model that's right 95% of the time but can't say why is, for most clinical uses, less useful than a simpler model that's right 85% of the time and can point t
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Data breach response in healthcare: what the first 72 hours actually require
No organization plans to have a breach. Every organization handling health data should have a plan for what happens in the first 72 hours after discovering one
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Lessons from automating on-call scheduling at CHU Marrakech
Replacing a manual monthly roster with an automated one sounds simple until you actually sit with the department that owns the current process. Here's what we l
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Building an offline-first medical records app for clinics
ArcCare exists because clinics don't always have reliable internet, and a medical records app that stops working without a connection is worse than useless — it
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The case for role-based access control in AI agents
An agent that can read or change anything in a system is a much bigger risk than the human employee it's assisting, because it can act at machine speed and does
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Building a CRM agent that doesn't leak your pipeline
A CRM agent's whole job is to touch sensitive information: deal values, contact details, internal notes about why a prospect went cold. Getting the automation r
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Full audit trails: the feature nobody asks for until they need it
No client has ever opened a conversation with "make sure I can audit every action your agent takes." They ask for it the first time something looks wrong and th
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What we learned building a location-sharing mobile app
Locate Me is a small app with one job: share your location with people you trust, reliably, without draining the battery or leaking that data anywhere it should
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Notes from building 7aba FPS on Godot's OpenFPS framework
7aba FPS is our firstperson shooter built on top of the OpenFPS Godot framework. Game dev isn't our main line of work, but building it taught us things that sho
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Recommendations without the creep factor: building MagicStream's engine
Streaming recommendation engines have a reputation problem: they either feel eerily precise or embarrassingly wrong. We wanted MagicStream to feel useful withou
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Grounding a knowledge base agent in your documents, not the open web
The pitch for a "knowledge base agent" is easy to say and easy to get wrong: an agent that answers questions using your own documents, policies, and records ins