The old and new Rise of the Chief AI Officer 👔 In B2B, AI is no longer a project. It’s strategy. That’s why the hashtag #ChiefAIOfficer (CAIO) is emerging in the C-suite. This role ensures AI governance, ethics, and CX innovation move together — not in silos. 👉 Five moves to make it real: Define clear responsibilities for the CAIO role. Tie AI directly to customer outcomes, not just IT. Build cross-functional AI task forces. Establish transparent reporting on AI use. Make CX and EX part of the AI strategy, not afterthoughts. ⚡ Without leadership, AI becomes hype. With it, AI becomes impact. 🔥 Do you see the CAIO as essential — or just another C-suite title? 💬 If you enjoyed this conversation, follow me here on LinkedIn for more insights on CX, AI, and innovation in B2B. 👉 Stay ahead of CX, AI, and innovation trends — Subscribe to my weekly LinkedIn Newsletter CX Insights by Ricardo S. Gulko. https://lnkd.in/eEJZef7t If this article resonated with you, feel free to share it — and let’s connect on LinkedIn for more insights and future posts: Ricardo Saltz Gulko My columns in several respected CX publications. · My recent articles on Eglobalis: https://lnkd.in/eB5w2_nQ · My recent articles on CMSWire: https://lnkd.in/dz3rta7Q · My articles on CustomerThink as Author number one: https://lnkd.in/dx-zTNph · My German articles on CMM360: https://lnkd.in/dtzbk7Ek #CustomerExperience #AI #Leadership #B2B #CX #CAIO

The old and new Rise of the Chief AI Officer 👔 In B2B, AI is no longer a project. It’s strategy. That’s why the hashtag #ChiefAIOfficer (CAIO) is emerging in the C-suite. This role ensures AI governance, ethics, and CX innovation move together — not in silos. 👉 Five moves to make it real: Define clear responsibilities for the CAIO role. Tie AI directly to customer outcomes, not just IT. Build cross-functional AI task forces. Establish transparent reporting on AI use. Make CX and EX part of the AI strategy, not afterthoughts. ⚡ Without leadership, AI becomes hype. With it, AI becomes impact. 🔥 Do you see the CAIO as essential — or just another C-suite title? 💬 If you enjoyed this conversation, follow me here on LinkedIn for more insights on CX, AI, and innovation in B2B. 👉 Stay ahead of CX, AI, and innovation trends — Subscribe to my weekly LinkedIn Newsletter CX Insights by Ricardo S. Gulko. https://lnkd.in/eEJZef7t If this article resonated with you, feel free to share it — and let’s connect on LinkedIn for more insights and future posts: Ricardo Saltz Gulko My columns in several respected CX publications. · My recent articles on Eglobalis: https://lnkd.in/eB5w2_nQ · My recent articles on CMSWire: https://lnkd.in/dz3rta7Q · My articles on CustomerThink as Author number one: https://lnkd.in/dx-zTNph · My German articles on CMM360: https://lnkd.in/dtzbk7Ek #CustomerExperience #AI #Leadership #B2B #CX #CAIO

In today’s rapidly evolving business landscape, leveraging AI in B2B automation is no longer a luxury. It's a necessity. AI is transforming how businesses operate by turning vast amounts of data into actionable insights. What sets AI apart is its ability to not just assist but actively solve complex challenges, streamlining operations and improving outcomes. From automating repetitive tasks to providing data-driven recommendations, AI empowers teams to focus on what matters most, driving growth and efficiency. The future of business lies in integrating AI solutions that not only support your operations but become integral partners in your strategic decision-making. The businesses that embrace this transformation will be the ones leading the charge in innovation, efficiency, and growth. Click to watch what our VP of Product, Abhishek Sur, has to say about the future of AI in B2B automation! https://lnkd.in/dfbujV9h #MondayMotivation #AI #B2BAutomation #BusinessTransformation #DataDriven #SmartDecisions #SalesOptimization #ArtificialIntelligence #Innovation #BusinessGrowth #FutureOfWork #TechLeadership #Automation #Efficiency #DigitalTransformation

Valuation of corporate strategy for adopting generative artificial intelligence in B2B operations This paper, recently published in our Corporate and Business Strategy Review explores the valuation of corporate strategies for integrating generative artificial intelligence (AI) within business-to-business (B2B) business models, focusing on its impact on operational efficiency, customer engagement, and competitive advantage. The research problem centres on the strategic challenges and opportunities associated with the adoption of generative this. The purpose of the study is to provide actionable insights into AI that enhance strategies for improved business performance. The methodology employs a mixed-methods approach, incorporating both quantitative data (e.g., surveys) and qualitative insights (e.g., expert interviews). Key findings reveal that operational efficiency is the primary driver for AI adoption, with companies reporting significant productivity improvements in manufacturing and logistics. However, barriers such as high initial costs and resistance to change are prevalent. The study concludes that aligning AI initiatives with strategic goals is crucial for long-term success and competitive positioning. #strategy #corporategovernance #reporting #boardofdirectors #productivity #competition #businessperformance Find this full-text paper below https://lnkd.in/d6mkG3yA

B2B companies are racing to add AI everywhere. Meanwhile, buyers are losing confidence in AI-powered decisions. The disconnect is about to cost billions. Forrester's latest prediction is stark. B2B organizations face $10 billion in losses by 2026. The culprit? Ungoverned generative AI use. Here's what's happening: • 19% of buyers report decreased confidence in AI-generated information • Current governance approaches aren't working • Companies keep integrating GenAI without proper controls The irony is clear. As AI becomes more common, human expertise becomes more valuable. By 2026, Forrester predicts 75% of enterprise B2B companies will increase budgets for influencer relations. Buyers want validation from real experts. The solution isn't to abandon AI. It's to govern it better. We need: ✅ Better AI literacy for employees ✅ Democratized governance frameworks ✅ Evidence-driven AI engagement ✅ Clear validation processes As Forrester's Sharyn Leaver puts it: "B2B leaders must embrace a more disciplined approach to generative AI, prioritizing trust and tangible value." The companies that balance AI tools with human expertise will win. Those that don't will pay the price. Are you seeing this tension between AI efficiency and buyer trust in your organization? #B2BAI #GenerativeAI #B2BSales 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gxzuxKxq

Valuation of corporate strategy for adopting generative artificial intelligence in B2B operations This paper, recently published in our Corporate and Business Strategy Review explores the valuation of corporate strategies for integrating generative artificial intelligence (AI) within business-to-business (B2B) business models, focusing on its impact on operational efficiency, customer engagement, and competitive advantage. The research problem centres on the strategic challenges and opportunities associated with the adoption of generative this. The purpose of the study is to provide actionable insights into AI that enhance strategies for improved business performance. The methodology employs a mixed-methods approach, incorporating both quantitative data (e.g., surveys) and qualitative insights (e.g., expert interviews). Key findings reveal that operational efficiency is the primary driver for AI adoption, with companies reporting significant productivity improvements in manufacturing and logistics. However, barriers such as high initial costs and resistance to change are prevalent. The study concludes that aligning AI initiatives with strategic goals is crucial for long-term success and competitive positioning. #strategy #corporategovernance #reporting #boardofdirectors #productivity #competition #businessperformance Find this full-text paper below https://lnkd.in/dTsVk5Cg

B2B companies are racing to add AI everywhere. Meanwhile, buyers are losing confidence in AI-powered decisions. The disconnect is about to cost billions. Forrester's latest prediction is stark. B2B organizations face $10 billion in losses by 2026. The culprit? Ungoverned generative AI use. Here's what's happening: • 19% of buyers report decreased confidence in AI-generated information • Current governance approaches aren't working • Companies keep integrating GenAI without proper controls The irony is clear. As AI becomes more common, human expertise becomes more valuable. By 2026, Forrester predicts 75% of enterprise B2B companies will increase budgets for influencer relations. Buyers want validation from real experts. The solution isn't to abandon AI. It's to govern it better. We need: ✅ Better AI literacy for employees ✅ Democratized governance frameworks ✅ Evidence-driven AI engagement ✅ Clear validation processes As Forrester's Sharyn Leaver puts it: "B2B leaders must embrace a more disciplined approach to generative AI, prioritizing trust and tangible value." The companies that balance AI tools with human expertise will win. Those that don't will pay the price. Are you seeing this tension between AI efficiency and buyer trust in your organization? #B2BAI #GenerativeAI #B2BSales 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gRwYmttC

The real competitive split in B2B GTM isn't about adopting AI, but about the architecture you build around it. The data is clear, companies that have successfully integrated AI across their entire Go-to-Market (GTM) motion—from lead scoring to call analysis—are consistently pulling ahead on metrics like quota attainment and sales cycle length. When I reflect on complex, high-value projects—whether launching a specialized adhesive GTM in Africa (similar to my time at Henkel) or architecting services contracts for industrial clients (akin to Sodexo)— the success variable is never the quality of the individual team member. It is the quality of the shared blueprint. If marketing, sales, and delivery were operating on different models of reality, the entire effort gets fractured. The current performance gap between 'AI-native' and traditional GTM teams is not a technology gap; it’s an architectural gap. You cannot bolt sophisticated AI tools onto a fragmented, human-powered GTM process and expect a systemic advantage. The speed and precision of AI simply expose the structural flaws faster. True efficiency—shorter cycles, leaner teams—comes from re-designing the GTM process itself. It means ensuring AI insights are a foundational part of the decision-making system, not a bolt-on application. The integrity of any complex structure is determined by the joints; AI is just the new, powerful material, but the GTM architecture is the joint. We must fix the system first.  Where is your leadership team investing first: in new AI tools, or in the GTM architecture needed to properly deploy them? Source: https://lnkd.in/dzpRJurP

If your competitors are already using AI, you’re already behind. The truth is simple: ✅ AI doesn’t replace people. It replaces inefficiency. ✅ Businesses using AI are closing deals faster, automating manual work, and outspending competitors in smarter ways. ✅ The gap between “AI adopters” and “AI avoiders” is growing... fast! At ElevationAI, we help B2B businesses implement real-world AI solutions — from lead generation and workflow automation to digital advertising and customer service chatbots. Don’t wait until your competitors have doubled their efficiency. Start your AI transformation now. 🚀 Let’s elevate your business with AI. #AI #B2B #Automation #DigitalTransformation

Most AI strategies fail because they start with the technology, not the business problem. I've watched countless B2B teams get excited about AI capabilities and jump straight into implementation. But here's what actually works: Start with your revenue goals, customer pain points, and operational bottlenecks. Then ask yourself—where could AI create the biggest impact? Take sales forecasting. Instead of asking "How can we use AI?" ask "What would 15% more accurate forecasts mean for our pipeline management?" That clarity changes everything. The companies seeing real ROI aren't chasing shiny AI features. They're mapping AI directly to business outcomes first, then building backward to the right tools and processes. Your AI strategy should read like a business plan, not a tech spec. Revenue targets, efficiency gains, customer satisfaction improvements—these become your north star. What's the biggest business challenge your team could solve with the right AI approach? #AIStrategy #B2BOperations #GTMStrategy #BusinessGrowth #RevenueOperations