My AI lesson of the week: The tech isn't the hard part…it's the people! During my prior work at the Institute for Healthcare Improvement (IHI), we talked a lot about how any technology, whether a new drug or a new vaccine or a new information tool, would face challenges with how to integrate into the complex human systems that alway at play in healthcare. As I get deeper and deeper into AI, I am not surprised to see that those same challenges exist with this cadre of technology as well. It’s not the tech that limits us; the real complexity lies in driving adoption across diverse teams, workflows, and mindsets. And it’s not just implementation alone that will get to real ROI from AI—it’s the changes that will occur to our workflows that will generate the value. That’s why we are thinking differently about how to approach change management. We’re approaching the workflow integration with the same discipline and structure as any core system build. Our framework is designed to reduce friction, build momentum, and align people with outcomes from day one. Here’s the 5-point plan for how we're making that happen with health systems today: 🔹 AI Champion Program: We designate and train department-level champions who lead adoption efforts within their teams. These individuals become trusted internal experts, reducing dependency on central support and accelerating change. 🔹 An AI Academy: We produce concise, role-specific, training modules to deliver just-in-time knowledge to help all users get the most out of the gen AI tools that their systems are provisioning. 5-10 min modules ensures relevance and reduces training fatigue. 🔹 Staged Rollout: We don’t go live everywhere at once. Instead, we're beginning with an initial few locations/teams, refine based on feedback, and expand with proof points in hand. This staged approach minimizes risk and maximizes learning. 🔹 Feedback Loops: Change is not a one-way push. Host regular forums to capture insights from frontline users, close gaps, and refine processes continuously. Listening and modifying is part of the deployment strategy. 🔹 Visible Metrics: Transparent team or dept-based dashboards track progress and highlight wins. When staff can see measurable improvement—and their role in driving it—engagement improves dramatically. This isn’t workflow mapping. This is operational transformation—designed for scale, grounded in human behavior, and built to last. Technology will continue to evolve. But real leverage comes from aligning your people behind the change. We think that’s where competitive advantage is created—and sustained. #ExecutiveLeadership #ChangeManagement #DigitalTransformation #StrategyExecution #HealthTech #OperationalExcellence #ScalableChange
Change Management Techniques For Software Implementations
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Summary
Managing change during software implementations involves guiding teams through transitions in technology, workflows, and processes to ensure successful adoption and minimal disruption. It focuses on addressing both human and technical challenges to achieve long-term success.
- Empower key influencers: Identify and train trusted team members to act as champions for the new software, helping their peers navigate changes and promoting trust in the process.
- Tailor training to roles: Design training sessions that focus on how the new system benefits specific job functions, making it easier for team members to see its value in their daily tasks.
- Establish feedback channels: Create mechanisms like surveys or discussion forums to gather ongoing input and adapt the implementation process, building confidence and engagement among team members.
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Part 4: What Good Change Really Looks Like — Adoption, Activation, and the Hard Part of Digital Transformation! We’ve all been there. The platform is live. The AI engine is in place. The dashboards are beautiful. But no one’s using it. Or worse—people are using it wrong. Here’s the truth I’ve learned over and over again: Transformation doesn’t fail in the design. It fails in the adoption. And adoption isn’t about a big announcement or a training deck—it’s about trust, behavior change, and making sure what we build actually fits how people work. Here are a few principles that can help: 🔹 Change champions aren’t a buzzword—they’re the glue. Identify trusted employees across regions or functions to act as embedded advocates. These individuals can test early, share success stories in team forums, and coach others hands-on—making adoption feel more peer-driven than top-down. 🔹 Leadership can’t just approve—it has to participate. Encourage execs and managers to model the new tools during business reviews or day-to-day decisions. A single team lead running a planning session using the new dashboard sends a clearer message than any email blast. 🔹 Train the process, not just the tech. Design enablement around “how this helps me do my job better”—not just “what buttons to click.” Walkthroughs like “how to prep for a forecast review in 10 minutes” or “how to handle exceptions faster” resonate far more than feature overviews. 🔹 Personalized onboarding > one-size-fits-all. Tailor your rollout by role. A finance analyst cares about variance, a sales manager about trending, and an ops lead about exceptions. Deliver just enough context to help them act quickly and confidently. 🔹 Build feedback loops into the rollout. Set up simple ways to gather input and adapt—like Slack channels, feedback buttons, or short check-in surveys. Monitor usage, flag common drop-offs, and adjust fast. Showing that feedback turns into action builds trust quickly. I’ve said it before: launching the tech is the easy part. The hard part—and the real work—is getting people to trust it, use it, and embed it into how they work. That’s where the value lives. And that’s where transformation actually happens. #DigitalTransformation #ChangeManagement #Adoption #Leadership #TechEnablement #AI #ProductDelivery #DigitalStrategy P.S. Nothing beats a good team lunch to bring people together. At the end of the day, transformation is about people—sharing ideas, building trust, and yes… passing the biryani (Google it, it’s worth it). 😊
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Master SAP Change Management: Best Practices for a Smooth Transformation When it comes to SAP, change isn’t just about technical updates - it impacts processes, people, and performance. Without a structured approach, even a minor change can lead to disruptions in your operations. That’s why effective SAP change management is crucial for system stability, data integrity, and operational confidence. What You'll Learn: 1️⃣ Why SAP Change Management is Essential: Avoid disruptions in supply chains, financials, or reporting. 2️⃣ The 5 Pillars of Smart SAP Change Management: - Standardized Workflows - Impact Analysis - Robust Testing - Centralized Documentation - Post-Go-Live Review 3️⃣ How to Bring IT and Business Together: Transparent dashboards, clear “why” behind changes, and involving key users in planning. 4️⃣ Tangible Benefits of Effective Change Management: - Fewer post-deployment incidents - Faster go-lives with less rework - Stronger compliance and audit readiness - Improved stakeholder trust Key Benefits: - Fewer issues post-deployment - Reduced risk, faster go-lives, and easier scaling during transformation. - Stronger compliance and audit readiness. Want to Modernize Your Approach? - Automate impact analysis and testing - Integrate change logs into your ALM tools - Educate teams on change governance - Make post-change reviews a habit! Ready to take your SAP Change Management skills to the next level? 👉 Check out our SAP training courses: https://lnkd.in/geF3Xpia 🎓 200+ SAP customers trained! #SAP #SAPChangeManagement #DigitalTransformation #BusinessProcessOptimization #ZaranTech #SAPTraining --- Feel free to share or reach out for more insights!