Steve Weiland

$118M siphoned through false billing. This wasn’t just a rogue doctor—it was a vendor fraud operation hiding in plain sight. Dr. Jorge Zamora-Quezada spent two decades falsifying diagnoses, administering unnecessary treatments, and billing Medicare, Medicaid, and private insurers. Patients suffered strokes, liver damage—some were never even sick. How did it go undetected? Blind trust in provider billing. What could’ve caught it? AI-powered vendor oversight. At Accord, we flag what traditional audits miss: 1. Billing patterns with the fingerprints of fraud 2. High-margin vendors gaming approvals and thresholds 3. Repeat outliers masked by volume and complexity We’ve uncovered $10M in vendor risk in just two years of procurement data. Dozens of vendors exploiting blind spots—right under internal audit’s nose. We’ve seen patterns like this across multiple organisations. If you're curious what this might look like for you, message me. Happy to share insights.

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AI breakthroughs don't matter if the boardroom doesn't get it. A team nails a technical milestone, new model beating benchmarks, hours of work slashed to seconds and execs nod politely... then move on. Innovation stalls. Why? Because most AI teams speak data, not dollars. Leaders need stories, not code. - Skip the jargon. No one cares about your F1 score if they don't run a Kaggle competition on weekends. - Show, don't tell. Instead of "GPT can summarize text," say "With this, our client onboarding goes from 2 days to 2 minutes." - Tie every "how" to a "why." The board wants a revenue line, risk avoided or market won. Don't pitch an NLP tool that can "extract unstructured insights at scale." There will be zero interest. But change the pitch to "we can spot compliance risks before regulators do, using real customer calls." Suddenly, you'll have the Board's attention. AI is only as powerful as the story it tells in the boardroom. If you can't bridge that gap, you're just showing off. Stop talking like an engineer. Start talking like a dealmaker.

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🚨 Anthropic just dropped something massive for AI builders: The Claude Architect Certification! Along with it, they’ve released multiple training courses to help you upskill. Here is everything you need to know: 📚 The Training (Open to EVERYONE): Want to level up your AI skills? You can access the free training courses right now: https://lnkd.in/eZw9VB4g 🏆 The Certification (Anthropic Partners Only): Currently exclusive to Anthropic Partners. Bonus: Early access is 100% FREE for the first 5,000 partner company employees! Register here if eligible: https://lnkd.in/eEYwUGV5 As we move toward more complex agentic architectures, certifications like these help standardize how we build and scale AI in the enterprise. Tag a colleague who needs to see this! 🏷️ ♻️ Repost to help others find this update. ➕ Follow Ananya Ghosh Chowdhury to stay ahead in your cloud and AI career.

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🚀 The Two AI Protocols You Need to Know: MCP & A2A These will change how every business uses AI — for real. 👀 What’s the problem? - Right now, most AI tools work in isolation. - Your chatbot doesn’t know your calendar. - Your code helper can’t see your files. - Your customer support AI can’t check inventory. 💡 Now imagine this instead - You ask your AI: 🗣 “How’s our Q4 revenue looking?” - It instantly checks Salesforce, spreadsheets, and pipeline. ✅ - No switching tools. No waiting on reports. 🎯 That’s possible with these two protocols: 1️⃣ MCP – Model Context Protocol - Think: “Giving AI access to all your tools and data.” - Files - Databases - Apps - Live updates 2️⃣ A2A – Agent to Agent - Think: “Letting different AI tools work together like a team.” - One plans the event - One books the venue - One manages the budget - One updates your calendar 💼 Why these matters for your business: - Before MCP & A2A: - ❌ AI tools work alone - ❌ You switch between apps all day - ❌ Manual work everywhere After MCP & A2A: ✅ One AI can handle full tasks ✅ Tools talk to each other ✅ Complex workflows done with one request 🔥 Real examples: 🏥 Hospitals: AI checks patient records + insurance + staff availability → appointment in 2 minutes 🏭 Manufacturing: AI sees supply chain delays weeks in advance 💼 Consulting: AI builds client proposal 80% faster 🧠 What should you do? → If you’re a leader: Start exploring where AI can help → If you’re in tech: Learn how these protocols work → For everyone: Know that smarter AI is here — and it’s real 📣 Bottom line: MCP + A2A make AI actually useful at work. No more hype. Just results. 💬 What’s one task you’d love to hand off to AI? #AI #FutureOfWork #MCP #A2A #Automation #DigitalTransformation #WorkSmarter #BusinessGrowth #scikiq

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Is your organization prepared for the biggest shift in state-level healthcare in a decade? The CMS Achieving Healthcare Efficiency through Accountable Design (AHEAD) Model is here, and it’s a game-changer. This isn't just about new payment structures; it's about a fundamental redesign of care delivery and financial risk. For executives in MA and VBC, the model presents both significant threats and massive opportunities. Understanding the strategic implications of all-payer alignment and TCOC accountability is no longer optional. We've broken down exactly what leaders need to know. Read our analysis to ensure you stay ahead of the curve. Read my blog post about it here: https://lnkd.in/eQiXj8fA #ValueBasedCare #CMS #AHEADmodel #HealthcareInnovation #PopulationHealth #TCOC #HealthEquity

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