Valuing AI in B2B: A study on strategy and efficiency

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

In a world awash with AI hype, what separates talk from impact? In “AI’s Strategic Role in Defining and Delivering Measurable Outcomes,” Anthony D'Auria, Principal at Valuize, cuts through the noise to show how AI can become your organization’s proof-point engine — not just a fancy tool. Here’s what every B2B tech leader should note: ✔️ Outcomes over features. Merely selling capabilities won’t cut it. Customers expect you to define — and prove — the business impact your product delivers. ✔️ AI as an outcomes detective. AI doesn’t guess what value looks like. It sifts through CRM, usage, feedback, and behavior to pinpoint the real impact levers. ✔️ Proactive intelligence. With predictive insight into churn, expansion potential, and usage anomalies, you can act before problems spiral. ✔️ Operational embedding. AI-driven insights belong at the heart of your decision rhythms — product planning, go-to-market, customer success, and executive review. For those serious about transforming AI from a buzzword to a growth driver, this article is a must-read. 👉 Dive into the full article and start building your outcome-centric AI strategy: https://lnkd.in/gEdEc4Z2 #AI #CustomerSuccess #B2BTech #DigitalTransformation #DataDriven #CustomerOutcomes #Valuize

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

AI isn’t replacing GTM teams. It’s reshaping how they work. The real advantage in 2025? Human + AI hybrid workflows. Here’s how the best B2B teams are structuring it: 🔹 AI Handles Scale → crunching signals, enriching data, spotting patterns humans miss. 🔹 Humans Own Strategy → storytelling, relationships, and creative judgment that tech can’t replicate. 🔹 Together → precision + trust = faster cycles, higher win rates, and predictable revenue. The data is clear: 80% of B2B teams now use AI for pipeline management. Human-AI hybrid teams see 25% higher engagement and up to 30% faster deal closures. The future of sales isn’t man versus machine. It’s man with machine operating in sync, turning signals into strategy, and strategy into scale. If you’re not designing your GTM motion around this hybrid model, you’re already behind. #AI #GTM #Sales #B2B #PluggingAI

“Ultimately, embedding AI into workflows requires cultivating shared ownership and accountability for adoption.” — McKinsey & Company That insight captures exactly why ViViEN™ AI exists. Most AI tools orbit around the work, ViViEN™ AI lives inside it. She’s the Virtual Value Engineer built not to replace human connection, but to embed intelligence where value is created: in the rhythm of every seller and customer success interaction. You don’t have to go looking for her she’s already in your CRM, in your prep, in your customer conversations. She listens, learns, and remembers every value promise and every outcome you’ve discussed, so that when you show up, you’re building on insight, not starting from scratch. 🌟Recently, an independent Oliver Wyman study validated what our customers already knew ViViEN™ AI reduces seller and CS prep time from 20–80 hours down to just 1–4, while enabling highly personalized, relevant value conversations at scale. You don’t need another AI assistant. You need an intelligent partner who’s woven into your workflow persistent, contextual, and obsessed with helping you deliver customer value. If you’d like access to the study, methodology, and global GTM sample size, reach out to Alex Schrager and Dan Sixsmith for a personal briefing. #AIinWorkflow #CustomerValue #SalesProductivity #ViViEN #CVM #GenAI #ValueEngineering

By 2028, AI agents will handle 90% of B2B buying — a $15 trillion shift in how commerce is done. This isn't a distant forecast; the change is already happening. 79% of companies are already using AI agents for procurement and sourcing. The strategic question for leaders is no longer if we should adopt AI, but how we prepare for a market where our primary customer is an algorithm. This requires a fundamental shift from simply using AI tools to building an enterprise that can communicate and transact in a machine-driven economy. It's a future built on verifiable data and autonomous systems. At Zangoh, we're focused on building the foundational technology to help businesses thrive in this new era. Gartner McKinsey & Company Salesforce #AI #AIStrategy #DigitalTransformation #B2BSales #CXO #FutureOfWork

9 things I’ve learned from Klantenservice Federatie about a successful AI implementation in contact centers. Here’s the breakdown, in plain language: 1) 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲, 𝐧𝐨𝐭 𝐭𝐞𝐜𝐡 Begin with clear goals tied to your business. Don’t implement AI just because you can. 2) 𝐃𝐞𝐜𝐢𝐝𝐞 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐛𝐮𝐲 Internal teams vs. external vendors: the decision depends on your data, budget, timeline. Choose wisely. 3) 𝐁𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐚𝐥𝐨𝐧𝐠 AI isn’t just about tools—it’s about people. Engage your employees, provide training, and manage change actively. 4) 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐥𝐨𝐰-𝐫𝐢𝐬𝐤 𝐭𝐞𝐬𝐭𝐬 Pilot AI in non-critical processes. This gives room to learn and improve before scaling to higher-impact areas. 5) 𝐇𝐚𝐯𝐞 𝐟𝐚𝐥𝐥𝐛𝐚𝐜𝐤 𝐨𝐩𝐭𝐢𝐨𝐧𝐬 Unexpected behavior happens. Build in human oversight and clear escalation paths. 6) 𝐌𝐚𝐧𝐚𝐠𝐞 𝐞𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬 Set realistic internal expectations about what AI can (and can’t) do—especially early on. 7) 𝐁𝐮𝐢𝐥𝐝 𝐢𝐧 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐥𝐨𝐨𝐩𝐬 The only way to improve models over time is with real feedback from users and customers. Prioritize this. 8) 𝐌𝐞𝐚𝐬𝐮𝐫𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐛𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮 𝐬𝐜𝐚𝐥𝐞 Validate results, adapt your business case, and make sure the ROI is clear. 9) 𝐂𝐡𝐞𝐜𝐤 𝐬𝐲𝐬𝐭𝐞𝐦 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Make sure your AI tools plug into your broader tech stack. Without this, scaling becomes a costly mess. Not every AI initiative delivers value, but these guiding principles can help you change that. ➕ Follow for more insights and advice in customer contact and AI. #AIImplementation #ContactCenter #ArtificialIntelligence #DigitalTransformation

We talk a lot about AI tools in sales. But the real differentiator isn’t the technology — it’s the manager who turns data into shared learning. A recent Journal of Business Research study found that AI adoption in B2B sales depends less on new platforms and more on three human capabilities: Data literacy and curiosity to experiment The ability to build a culture where teams share AI use cases and learn from each other A mindset that sees AI as a collaborator, not a threat When these elements come together, AI stops being a tool and becomes part of how a team thinks, learns, and sells. In other words, fully leveraging AI in B2B sales is a leadership challenge — not a technical one. I’ve added the research link in the comments for anyone who wants to read the full paper. #AIforSales #SalesLeadership #MarketIntelligence #B2BSales #DigitalTransformation

Topic: AI & Technology in Business Development AI will not replace Business Development professionals. But professionals who use AI will certainly replace those who don’t. Today, tools like CRM analytics, AI-driven lead scoring, and automated outreach are transforming how we identify opportunities and engage clients. How AI is enhancing BD (Not replacing it): ⚙️ Automating research & data insights 📊 Predicting client needs with analytics ⏱️ Saving time for deeper human conversations The future of BD is a blend of technology and human expertise. We still build trust, negotiate, and create partnerships—but smarter, faster, and with better foresight. Are you already integrating AI in your BD process? #AI #DigitalTransformation #BusinessDevelopment #Innovation #FutureOfWork #readwithHamidur

AI-Powered GTM Strategy: The New Edge for Growth-Oriented Businesses In today’s fast-changing world, your Go-To-Market (GTM) strategy can’t just rely on experience or gut feeling anymore. 🔹 Markets shift in real-time. 🔹 Customer preferences evolve overnight. 🔹 And competitors armed with AI insights move faster than ever before. That’s where AI-powered GTM comes in — not as a buzzword, but as a game-changer. AI helps you: ✅ Identify the most profitable customer segments. ✅ Predict buying behaviors and timing. ✅ Optimize your pricing, messaging, and channel mix dynamically. ✅ Reduce go-to-market waste while maximizing impact. But here’s the catch — AI alone doesn’t create growth. It needs a system, a blueprint, and strategic clarity to turn data into direction. That’s exactly where my GGB – Gajender Growth Business Blueprint integrates seamlessly. 💡 GGB + AI = Predictable, Scalable, Sustainable Growth The GGB Framework helps business owners translate AI insights into real-world actions — building repeatable sales systems, customer journeys, and marketing engines that scale effortlessly. Because technology without clarity leads to confusion. But technology with GGB clarity leads to compounding growth. If you’re ready to make your next GTM strategy not just smart — but AI-smart and system-driven — let’s talk. 📈 Growth is no longer about speed. It’s about smart systems powered by intelligence — human + artificial. #AI #GTMStrategy #BusinessGrowth #GajenderGrowthBlueprint #GGB #ArtificialIntelligence #ScaleYourBusiness #SMEGrowth #BusinessCoach