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Strategy did not stall your AI initiative. Operational readiness did. Most healthcare technology teams have done the strategy work. They have the roadmap. They have evaluated vendors. They may have completed a pilot. And they still cannot get AI to operational scale. The problem is usually not the technology. It is readiness, and most organizations do not have a clear way to assess it before they are already deep into a deployment that is not working. That is what our upcoming webinar is about. Not AI theory. Not vendor comparisons. A practical framework for diagnosing where AI initiatives break down and what it actually takes to get from proof of concept to production. Every attendee receives the S.O.N.G. assessment template and readiness checklist after the session. If your AI initiative is stalled, underpowered, or still stuck in evaluation mode, this is the right session. Register here: https://ow.ly/ClMM50Z5Q3R

The deployment went fine. The vendor delivered. Nobody is using it. Healthcare AI adoption does not stall because the technology failed. It stalls because the outputs do not fit how clinicians and operations teams actually work. The system gets deployed, the vendor closes the engagement, and then nothing changes because the AI is producing information that does not connect to the decisions people are actually making, in the workflows they are actually in. This is one of the most consistent patterns we see in AI initiatives that lose momentum after go-live. It is also one of the least discussed. We are hosting a live executive webinar that addresses this directly, alongside three other critical failure patterns that keep AI from moving into real production use. Attend if you are responsible for AI adoption, not just AI evaluation. Register for “Why Most AI Projects Fail” here: https://ow.ly/rOUk50Z5Q3C

𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲. While many organizations have launched pilots and proofs of concept, few have established the foundations required to deliver AI-driven outcomes consistently across the enterprise. Join us for an exclusive webinar focused on the practical realities of scaling AI. You'll learn: ✓ Why AI initiatives fail after deployment ✓ How data quality and workflow design impact adoption ✓ What leaders should measure beyond ROI ✓ How governance affects trust, compliance, and scale ✓ How the S.O.N.G. Framework evaluates readiness for production AI Date: June 23, 2026 | Time: 2:00 PM PST Register now: https://ow.ly/2oW750Z9NP9 𝗠𝗼𝘃𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝗽𝗶𝗹𝗼𝘁𝘀. 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁.

9 months might sound like a lot of time. It’s not. CMS-0057-F is already exposing gaps most teams didn’t plan for. APIs are only a small part of it. The real friction shows up in data, workflows, and prior auth that still lives outside the system. That’s where timelines slip. That’s where penalties become real. We broke it down into a practical checklist: Where you’re likely exposed. What actually needs to change. What to prioritize now before the deadline closes in. If you’re responsible for compliance, interoperability, or platform strategy, this is worth a look. → Read the checklist and see where you stand: https://ow.ly/K2Ye50Z0orT

Here’s how to spot a stuck FHIR project early. (The signs are always the same) Teams debating SMART on FHIR vs. backend services OAuth2 and scope discussions dragging on for weeks Epic configuration requirements surfacing late Developers blocked waiting on security or app registration Stakeholders misaligned on how the workflow should actually function inside the EHR You might think it’s a tech problem, but it’s a decision problem. Most teams never had a clear integration strategy to begin with. That’s exactly what we built the FHIR Integration Advisor to solve. Answer 7 questions. Get a clear, tailored integration path. Then move forward with confidence. Try it here: https://ow.ly/xsXi50Z0p6L

Your AI deployment may already be a liability. Are you sure it isn't? Governance failures in production AI aren't just an IT problem, they're a legal one. Without proper auditing, versioning, and decision traceability, healthcare AI systems create exposure that most executive teams don't see until it's too late. Pegasus One's June 23rd executive webinar goes deep on the governance and compliance dimensions of AI adoption that get skipped in every vendor conversation — and what your organization needs in place before you scale. Built for healthcare CIOs, CTOs, and technology executives at health systems, hospitals, and large payers. 50 minutes. Live Q&A. Real frameworks. 📅 June 23 | 2:00 PM PST | Live Online Register now to reserve your spot.