How Genai Influences Business Strategy

What do a bank, a hospital, and a logistics firm have in common? They’re all quietly experimenting with GenAI in ways that actually matter. Not to win headlines. Not to build shiny copilots. But to drive results. That’s what stuck with me while exploring Deloitte’s GenAI Use Case Navigator. https://lnkd.in/eskkGqH4 It’s not just a catalog of AI ideas, it’s a reality check. Because here’s what it reveals: ➤ GenAI’s biggest impact isn’t in customer experience fluff. It’s in fixing the unseen bottlenecks that drag businesses down. ➤ The most transformative use cases? Not the ones that sound fancy—but the ones that reduce manual effort, save time, cut cost. ➤ Think: claims intake, RFP responses, contract summarization, fraud detection, supply chain prediction. Real examples? ➡️ A global insurer used GenAI to automate underwriting analysis, reducing quote generation time from 5 days to 30 minutes. ➡️ A healthcare system used it to summarize complex patient histories before physician review, cutting admin time by over 40%. ➡️ A logistics company deployed GenAI to optimize route planning and fuel usage, saving millions in operational costs. ➡️ A government agency implemented GenAI to automate the review of grant applications, ensuring consistency and reducing cycle times. ➡️ A legal team used it to draft NDAs and review contract clauses—freeing up attorneys for higher-value work. ➡️ A finance team built a GenAI-powered dashboard that answers natural language queries about spend, variances, and forecast anomalies—no analyst needed. They’re not talking about “prompt engineering.” This is so 2023. They’re engineering out inefficiencies. They’re not building AI for the sake of it. They’re using AI to solve what’s broken, fragmented, or too slow to scale. Because. ChatGPT is NOT your strategy. AI is NOT your strategy. Your strategy IS to run your business better. Smarter. Leaner. Faster. AI's power depends on where and how you use it. Because in the end, it’s not about being an “AI-first company.” It’s about being a results-first company. So here's the question: What’s the real ROI of GenAI? The pilot… or the process it quietly replaces forever?

🧠 Strategy scales GenAI. Culture sustains it. Leadership ignites it. 🚀 GenAI is no longer just a disruptive force; it’s a defining one. But fundamental transformation doesn’t come from deploying another model. It comes from aligning strategy, culture, and leadership to scale innovation responsibly. Over the past few years, I’ve worked closely with organizations navigating the messy middle of GenAI maturity, where potential is high but direction is often unclear. What distinguishes high-impact adopters from others? Clarity across seven core priorities: 📍 1. Benchmark Maturity Map your current state. Understand the gaps across governance, data, infra, talent, and value realization. You can’t scale what you can’t see. 🏗 2. Build a GenAI Center of Excellence Not just a team, a cultural engine that standardizes experimentation, governance, and reuse across the enterprise. ⚖️ 3. Operationalize Responsible AI From model transparency to ethical deployment frameworks, responsible AI is no longer optional; it’s a reputational imperative. 🎯 4. Prioritize Strategic Use Cases Innovation must be intentional. Focus on use cases that enhance resilience, efficiency, and differentiation, not just novelty. 🔌 5. Invest in Scalable Infrastructure Cloud-native, secure, and observable. A robust AI backbone ensures models don’t just work in notebooks; they perform reliably in production. 📚 6. Foster AI Literacy From execs to frontline teams, shared language fuels adoption. Culture shifts when knowledge becomes a company-wide asset. 📊 7. Measure & Communicate Impact Business value is your north star. Track metrics that matter and tell a compelling story around them. 💡 Here’s my lens: GenAI isn't about chasing the next shiny model; it's about building the organizational muscle to adapt, lead, and scale responsibly. 📢 I’d love to hear from others in the space: What’s been your biggest unlock or challenge on the path to GenAI maturity? Let’s keep this conversation strategic. 🤝 #GenAI #EnterpriseAI #CTOLeadership #AITransformation #TechStrategy #InnovationAtScale #AIinBusiness #ThoughtLeadership #DigitalLeadership

Johnson & Johnson is zeroing in on GenAI use cases that it sees a strong ROI for and shutting down pilot projects for which it doesn't - and there are some powerful lessons here for all of us: 𝐖𝐡𝐚𝐭'𝐬 𝐭𝐡𝐢𝐬 𝐚𝐛𝐨𝐮𝐭?  - J&J initially encouraged employees across the company to experiment with AI, resulting in ~900 GenAI experiments across R&D, commercial, HR, and supply chain. - After reviewing, only 10–15% of these delivered 80% of the business value. - Now they're prioritizing and only scaling the high-value use cases and axing the rest. 𝐎𝐭𝐡𝐞𝐫 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠 𝐜𝐡𝐚𝐧𝐠𝐞𝐬:  - They're moving away from a centralized GenAI governance board. - And letting each business unit own their own AI agenda. - While setting up AI and Data Councils to ensure ethical use and scalability of AI tools. 📘 𝐇𝐚𝐯𝐢𝐧𝐠 𝐬𝐩𝐞𝐧𝐭 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧, 𝐭𝐡𝐞𝐫𝐞'𝐬 𝐬𝐨𝐦𝐞 𝐭𝐞𝐱𝐭𝐛𝐨𝐨𝐤 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝐦𝐨𝐯𝐞𝐬 𝐢𝐧 𝐡𝐞𝐫𝐞:  - Start broad. Learn fast. Then double down on what works. - Some people are calling this a failure. I completely disagree with that. This is what smart scaling looks like. - J&J mastered the Experiment → Validate → Prioritize → Operationalize cycle and built the real execution muscle around this. - Experimentation isn't just about wins; It's about building your path to value. 👉 𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐀𝐈 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐮𝐬𝐞 𝐭𝐡𝐞𝐬𝐞 𝐥𝐞𝐬𝐬𝐨𝐧𝐬 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐚𝐧𝐝 𝐫𝐨𝐚𝐝𝐦𝐚𝐩: start broad, find what works, then scale proven value. ♻️ Share this with someone who needs to know this playbook. ➕ Follow me Heena Purohit for more AI news, insights, and real talk. 👉 Over to you: What aspects of this story stood out to you? --- 🔗 Full article: https://lnkd.in/dY_Mb4uE #EnterpriseAI #ArtificialIntelligence #AIforBusiness #GenerativeAI #AIRealTalk

📢 Organizations with over $500M in revenue are rewiring faster for GenAI...redesigning workflows, elevating governance, and mitigating risk. But most companies still lag behind. According to McKinsey’s latest State of AI report, only 1% of leaders say their organizations are truly mature in AI. So what separates the few that are capturing real bottom-line value? Here’s what stood out from the data: 🧠 CEO involvement is a game changer. ➡️ Only 28% of AI-using organizations say their CEO directly oversees AI governance but this group sees the highest impact on EBIT. ➡️ Leadership buy-in isn’t just symbolic...it shapes adoption, funding, and accountability across teams. ⚙️ Workflow redesign is the #1 driver of GenAI ROI. ➡️ McKinsey tested 25 organizational attributes—redesigning workflows had the biggest effect on EBIT gains. ➡️ The real value of GenAI comes from changing how work gets done, not just adding tools. 📊 AI is gaining ground fast but GenAI is the real accelerant. ➡️ 77% of companies now use some form of AI in at least one business function. ➡️ GenAI use has doubled year-over-year, with rapid adoption in marketing, sales, and HR. 📉 Risk awareness is rising but so are the blind spots. ➡️ 45% of respondents say their organizations are working to mitigate GenAI risks...yet only a fraction have formal processes in place. ➡️ Data privacy, accuracy, and ethical use still require much stronger guardrails. 📈 Hiring is only part of the answer. ➡️ Companies aren’t just adding AI specialists...they’re retraining internal teams to participate in AI deployment. ➡️ That shift reflects growing recognition that AI fluency is a cross-functional capability, not just a tech skill. 🧩 Joint ownership of governance is the norm. ➡️ Respondents report an average of two leaders overseeing AI governance often combining IT, legal, and ops. ➡️ This signals the cross-functional nature of responsible deployment and the need for shared accountability. 💡The takeaway? Organizations capturing real value from GenAI aren’t just adopting tools...they’re rewiring how decisions are made, work gets done, and who’s accountable. And People Analytics leaders have a critical role in shaping that foundation. Check out the comments below to see the full piece from McKinsey. Which of these shifts are you seeing in your organization? #PeopleAnalytics #GenAI #FutureOfWork #AIReadiness #TalentStrategy

The latest KPMG US #GenAI survey gives us #insights and learnings from business leaders on how this transformative technology is already having a significant impact on how they are shaping the future of their organizations. We continue to keep our finger on the pulse of these conversations so we can stay ahead of shifting priorities to help meet our clients’ evolving needs. The survey results reflect what I’ve been hearing in my own conversations with executives – more than three quarters of the respondents (78%) are confident in the #ROI of their planned GenAI investments over the next 1-3 years. I think confidence is growing among leaders as they begin to measure the outcomes from their early adoption efforts – 71% of survey respondents indicated GenAI is helping their business leverage #data in strategic decision making, more than half of respondents say this is shaping their company’s competitive positioning, and 47% have already used GenAI to help develop new revenue streams.   Read more survey results here and stayed tuned for industry updates:https://lnkd.in/gcvxM3X4

GenAI = It's Not the Big That Eat the Small... It's the Fast That Eat the Slow! Big companies used to be unbeatable and eat smaller competitors as snacks. Not anymore. These days, it's the FAST that eat the slow! 🚀 The AI Revolution is Here. The only question is: how will you respond? AI is changing the game, giving early adopters an edge that others may struggle to match. But where to begin? Here are the critical aspects to consider: Think Beyond the Use Case. >>> 1. Systems and Products • Broad Implementation: Don't limit AI to isolated areas. Make sure it's part of your entire operation and product lineup. • Unified Perspective: Treat your business as a whole where AI can improve every part, from daily operations to how you engage with customers. >>> 2. Strategy at the Center • AI-Driven Planning: Make AI a key part of your business plan. This means having a clear vision and steps for putting AI into action. • Leadership and Culture: Promote a culture where leaders prioritize AI and encourage innovation. >>>3. People and Talent • Invest in Skills: Hire and train people who can lead AI projects. Adapt operations and focus on ongoing learning. •Collaborative Teams: Build teams that understand both AI and your business processes for better integration and execution. >>> AI as a Competitive Tool • Tech Stack and Data: Ensure your technology supports AI and develop a strong data strategy. High-quality data drives better insights. • Risk and Ethics: Address AI risks and ethics proactively. Implement comprehensive risk management and ethical guidelines to build trust and sustainability. Get ready to grow. Could you identify where you need to take action and make your first moves toward gaining your competitive advantage? ------------------------------- 👋 I'm Mariana Saddakni. I help businesses grow with #GenAI by enhancing business efficiency and keeping org and teams up-to-date with tech evolution.

Unlocking Business Transformation with a Generative AI Strategy  Generative AI is reshaping industries, making it imperative for leaders and managers to adopt a structured approach. Here's a five-pillar framework for integrating GenAI seamlessly into your organizational fabric: 1️⃣ Business Strategy: Prioritize business objectives aligned with OKRs. Identify GenAI use cases to meet goals and manage innovation portfolios. 2️⃣ Technology Strategy: Decide whether to buy or build GenAI solutions. Invest in infrastructure, security, and MLOps for sustainable innovation. 3️⃣ GenAI Strategy: Map use cases to business objectives and pilot solutions. Establish a Center of Excellence (CoE) for scalable GenAI adoption. 4️⃣ People Strategy: Gain leadership support and manage change effectively. Build skill development paths to create a learning ecosystem. 5️⃣ Governance: Implement accountability mechanisms and enable regular reviews. Ensure compliance with security, ethics, and responsible AI practices. 💡 Why It Matters: A well-executed GenAI strategy empowers organizations to drive innovation, enhance decision-making, and remain competitive in the evolving tech landscape.

In preparing for a upcoming keynote speech on #genai and the impact on #work; I found these Insights global study by Google #Cloud and National Research Group some of the best I have seen. As a management consulting leader, I'm struck by the clear imperative for organizations to educate themselves on gen AI today. Here are some key takeaways: 1) 74% of enterprises using gen AI report ROI within the first year - faster than most #software deployments 2) 86% of organizations seeing revenue growth estimate a 6%+ increase in annual revenue (real revenue growth!) 3) 84% can move a gen AI use case from idea to production in under 6 months (once again, speed WINS) 4) 45% of organizations report employee productivity has doubled or more due to gen AI (maybe some technology to make our lives easier!) The message is clear: gen AI is not just another tech trend, but a key driver of business transformation and competitive advantage. The study also reveals a "gen AI #leadership gap" - only 16% of organizations are truly leading in this space. These leaders are seeing outsized gains in revenue, productivity, and innovation. To close this gap, organizations must prioritize gen AI education at all levels. This means: 1) Building unified C-suite support and vision for gen AI initiatives 2) Focusing gen AI efforts on core business functions 3) Investing in AI talent development across the organization 4) Prioritizing data quality and infrastructure to support gen AI It is more clear to me than ever that the time to act is now. Those who invest in understanding and strategically implementing gen #AI today will be best positioned to thrive in the AI-driven future of business. Link to the complete study if interested - https://lnkd.in/gmn-yAwE #GenerativeAI #BusinessStrategy #Innovation #Leadership Mercer Ravin Jesuthasan, CFA, FRSA JESS VON BANK #google Adriana O'Kain Ryan Malkes

As we all look to understand the business value of generative AI, we commissioned Forrester to conduct a Total Economic Impact study for financial services organizations deploying GenAI solutions on Microsoft Azure OpenAI Service over a three-year period. Projected quantified benefits by Year 3 include: ✅ Increase in average revenue per client by 3% to 7%. ✅  Content generation time savings of 30% to 60%. ✅  Better engagement with current and existing service users driven by a 20% to 30% reduction in churn due to better user experience. ✅  Better engagement with prospective service users driven by a 10% to 20% increase in top-of-funnel prospects and 20% to 40% improvement in conversion rate. ✅ Improved deflection rates of 20% to 50% in contact center calls requiring a human support agent. You can read the full study here: https://lnkd.in/ePsQ_88s