Healthcare AI Governance: Do’s and Don’ts 4. Validate the tool in its intended setting Evaluate w...Healthcare AI Governance: Do’s and Don’ts 4. Validate the tool in its intended setting Evaluate w...
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4. Validate the tool in its intended setting
Evaluate whether the system performs appropriately for its intended use, local workflows, patient population, data environment, and clinical context.
Vendor demonstrations and external validation results may be useful, but they do not replace local evaluation.
Is AI finally good enough to shoot a product demo on its own, or human touch is still needed?
I generated a 20s product demo with Seedance 2.5 in a single take providing it with one product image reference and an example video transcript (posted in the comments). Do you disclose to a client how much AI is involved, or just let the result speak for itself?
Is AI finally good enough to shoot a product demo on its own, or human touch is still needed?
I generated a 20s product demo with Seedance 2.5 in a single take providing it with one product image reference and an example video transcript (posted in the comments).
Do you disclose...
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What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demos—from purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. I’ve also included the technology stack behind the platform.
This is exactly the agentic AI discussion we need more of — moving from chatbots to actual Ops: PO intake, vendor orders, shipments, invoice reconciliation. That's where ROI is.
Loved the TechFoundry IMS visual — that IMS AI Agent as the central orchestrator with Review & Approve...