AI Adoption Strategies for the Modern Workforce

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

Your Leadership Blueprint for the Future 🔛 If you're an executive grappling with the fast-paced evolution of Tech, AKA #ai, you're far from alone. But while some see a challenge, I see an unprecedented opportunity. #GenerativeAi isn't just the future—it's your next competitive advantage. As someone who has spearheaded major technological integrations at AT&T, embracing AI today is not an option but an imperative. >>Key Leadership Strategies in the AI Era 1. "Active Listening: Your Secret Weapon in AI Adoption" Begin by conducting internal audits or surveys to understand the current perception of AI within your organization. Address concerns openly in town-hall meetings. 2. "AI: Augmenting Human Excellence, Not Replacing It" Implement pilot projects that clearly show how AI can improve but not replace human tasks. 3. "A Vision Well Communicated is a Vision Half Realized" Develop a transparent roadmap for AI adoption and share it across all organizational levels. 4. "Collective Learning: The Cornerstone of AI Success" Organize regular training sessions and encourage cross-functional teams to collaborate on AI projects. 5. "Human Potential: The X Factor in Your AI Strategy" • Celebrate and reward creativity, problem-solving, and other uniquely human skills that AI can't replace. >> Reshaping Corporate Roles for an AI-Driven World • "From Rote to Remarkable: Entry-Level Roles Reimagined" Invest in training programs that allow entry-level employees to upskill and take on more creative or strategic roles. • "Middle Management: Your New Role as the Talent Nurturer" Pivot from task managers to talent developers, focusing on guiding teams to maximize the use of AI tools effectively. • "Senior Leaders: Data-Driven Culture Architects" Lead by example. Utilize AI to make informed decisions and set a precedent for a data-driven culture. >> Organizational Structure: The New Shape of Success • "Flat is the New Up: Why Project-Based Teams are Tomorrow's Winners" Move toward a more agile structure that encourages rapid decision-making and adaptation. • Strategic Partnerships: Your Path to AI Superiority "Don't Just Compete, Dominate: Partner to Innovate" Seek partnerships with AI solution providers or academic institutions to stay ahead of the curve. This tech shift and paradigm change will redefine leadership, organization, and strategy. The AI revolution is already here—how you respond today will determine where you stand tomorrow. Are you leveraging AI to solve real-world problems, or are you still in the exploratory phase? •••••••••••••••••••••••••••••••••••••••••••••• Mariana Saddakni, ★ Digital Product Innovation, Operational Mastery, and Customer Experience Excellence ★ Former Global Head of Product and Customer Experience, AT&T– Fractional Executive, Service Industry Growth and Retention Expert 🌐 Let's connect! ••••••••••••••••••••••••••••••••••••••••••••••

Every CEO I know is trying to figure out AI. But here’s the real challenge—adoption takes time. Just getting Microsoft Copilot or ChatGPT Premium isn’t the solution. The biggest struggle? Mindset. You can’t apply the same approach to everyone, and shifting the way people work takes effort. Recently, Akshata Alornekar (HR Manager) and Lidya Fernandes (Assistant Finance Manager)—who have a combined 30 years at SJI visiting NYC as part of our company policy to bring employees into different offices, helping them understand our culture and way of working. But what happened? → Every conversation turned into an AI hackathon. Spending time with us, we focused on showing them how @Shahera and I actively use AI in our daily work, not just talking about it, but demonstrating its impact. Seeing this firsthand shifted their perspective. “Before coming here, we were seeing AI from a 60 degree angle. But watching how you and the NYC team use it , it’s a full 180 degree shift!” This is why exposure and experience drive AI adoption. But many companies struggle because they treat AI like a tech upgrade. It’s not. AI adoption is a behavioral shift. How Companies Can Drive AI Adoption Effectively: → Lead from the Front AI is Not Just an IT Project C-level executives need to actively use AI in their own workflows. If leadership treats AI as an “IT tool” instead of a core business function, adoption will stall. Employees follow what leaders do, not just what they say. → Make AI a Part of Daily Workflows, Not Extra Work Employees resist AI when they see it as something “extra.” The best way to drive adoption? Embed AI into existing tasks automate reports, summarize meetings, or assist in decision-making. AI should feel like a time-saver, not another tool to manage. → Create AI Champions Inside the Organization Identify team members who are curious about AI and empower them to guide others. These AI champions can test new use cases, train colleagues, and help build momentum. AI adoption is easier when it spreads peer-to-peer, not just top-down. → Focus on Habit-Building, Not Just Training One-off AI workshops don’t work. AI adoption happens when employees use it consistently. Introduce small, daily challenges to get them comfortable just like Akshata and Lidya experienced in NYC. Seeing AI in action changed their perspective. → Repeat, Repeat, Repeat! AI adoption isn’t a one-time rollout—it’s a continuous process. Companies that embed AI into their culture, not just their technology, will be the ones that thrive. The companies that embrace AI culturally, not just technologically, will win. Are you leading AI adoption the right way? What’s been your biggest challenge? Let’s discuss.