How AI accelerates digital transformation, by our CTO

Successful digital transformation requires more than just technology. It demands cultural alignment, clear goals, and strong governance. Quick wins, clean data, and user-focused strategies drive measurable impact. Aligning AI and data strategies with business priorities accelerates change and ensures lasting results. Build for complexity and scale from day one. #successstory #successstories #digitaltransformation  

Forbes recently published an article on the key drivers for successful digital transformation. Our CEO, Aviel Siman-Tov, contributed to the article, sharing how he views this transformation as a strategic shift. In travel, the biggest wins happen when AI and automation are paired with real changes in how frontline teams work, empowering faster, more confident decisions while automating repetitive tasks. Read the full article here: https://lnkd.in/d_uXEYBM #corproatetravel #traveltech #ai #digitaltransformation #businessimpact

I recently read "Intelligent Orchestration: The Boardroom’s Next Mandate" by Shruti Deshpande-Rawoot (attached below), and it resonated deeply with the work I’ve been part of. It’s become clear that digitization alone isn’t enough. Success in financial services now hinges on the ability to orchestrate end-to-end transformation—not just optimize one process or function, but rethink how people, data, and technology work together across the enterprise. In efforts I’ve led, what started as targeted pilots—often in areas like marketing or compliance—have evolved into enterprise-level use cases with broader strategic implications. While not yet scaled across every function, these experiences reinforce how essential it is to approach transformation with the ability to connect dots across systems and teams. Making progress in one area often reveals dependencies or opportunities in others, and it takes a certain mindset to design solutions that consider the full ecosystem—not just the immediate need. Orchestration isn’t just a systems upgrade. It’s about designing for adaptability, governance, and human-centered AI integration—and asking the harder, enterprise-level questions that lead to sustainable change. Shruti, thank you for capturing this shift so clearly and leading the way in this exciting new journey. #DigitalTransformation #IntelligentOrchestration #Leadership #RetirementServices #AI #OperationalExcellence #GTM #FinancialServices #EnterpriseStrategy

#AI and automation are shifting how teams work, but most organizations aren’t ready to scale. It’s not just about having the right tools. It’s about whether your teams can adapt and your data can deliver. We’ve outlined five areas that separate momentum from inertia. Across #utilities in the Midwest and South, here’s what we’re seeing: • Scattered data • Immature change management • Limited AI access • Low literacy • Minimal integration If you’re leading transformation, this is your moment to move. Read the full post. https://vist.ly/493xq

In an era where everyone’s talking about AI, one of the hardest things to find is meaningful perspective. We’re inundated with noise about new tools, bold promises, and how everything is changing. However, beneath it all, many leaders and organizations are still struggling to figure out how to translate that noise into measurable results. That’s why I was grateful for the opportunity to write an article for Big Think, exploring what happens when we stop treating AI as a technology rollout and start treating it as a human capabilty amplifier. It’s built around case study from work I did with a global healthcare company, describing what can happen when you balance adoption with outcomes and employee readiness. It also highlights how focusing on people doesn’t have to slow things down. Done right, it actually accelerates what matters. If you work in L&D, manage people, or lead transformation in your organization, I think you’ll find it worth the read. https://lnkd.in/guayP3eB

How can CIOs clearly demonstrate that technology spending generates measurable business value? In an interview with McKinsey, Nancy Avila emphasizes that technology leaders must connect every technology decision to customer outcomes, employee productivity, and shareholder value to establish credibility with the executive team. Here are some key takeaways: 💡 Build trust through transparency and a strategic portfolio process that ties projects to business priorities and clarifies why particular investments are chosen. 💡 Treat infrastructure as strategic and link platform choices to customer experience and operational resilience; act as a gatekeeper for new tools such as generative AI, proceeding only when there is a clear case for value. Implementing these practices transforms the perception of IT from a cost center into a business partner, according to Avila, making it easier to secure executive alignment and funding without sacrificing governance. Which of these priorities is most important in your organization, and how do you measure its impact? For more insights, read the full article here: https://lnkd.in/eX9BbSWZ

Need a fresh perspective from 2022?  😄 When my colleague Martijn Krenn wrote The Added Value of Design three years ago, AI wasn't dominating every conversation yet. We were talking about digital transformation, complex systems, and how to make innovation stick inside organizations. Fast-forward to today - and the same challenges from three years ago still apply. Organizations are investing millions in agentic AI, automation, and data platforms. The technology is impressive, but the success rate of moving from PoC to production is shockingly low. Of course, technology plays a big role. Governance, data quality, and strategy matter too. But after 30+ years of helping organizations navigate digital transformation, we've learned that success rarely depends on tech alone. It depends on how you shape it to fit your business - how you connect people, process, and purpose. Design plays an integral (but of course not solitary) role in the success of digital transformation initiatives. Framing problems clearly, creating alignment, and building trust. Those are the foundations that get you from pilot to production. It's interesting how lessons from a few years ago remain just as relevant now - maybe even more so.   Read Martijn's blog and see why some insights don't expire. Link in comments

🚨 𝗪𝗵𝘆 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 & 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗙𝗮𝗶𝗹 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗞 — 𝗮𝗻𝗱 𝗪𝗵𝘆 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗔𝗱𝘃𝗶𝘀𝗼𝗿 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀 𝗠𝗮𝘁𝘁𝗲𝗿 𝗠𝗼𝗿𝗲 𝗧𝗵𝗮𝗻 𝗘𝘃𝗲𝗿.. 💡 Digital and AI transformation are no longer optional - they’re survival. 𝗬𝗲𝘁 𝗱𝗲𝘀𝗽𝗶𝘁𝗲 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗶𝗻𝘃𝗲𝘀𝘁𝗲𝗱 𝗲𝘃𝗲𝗿𝘆 𝘆𝗲𝗮𝗿, 𝗼𝘃𝗲𝗿 𝟳𝟬% 𝗼𝗳 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝘀 𝘀𝘁𝗶𝗹𝗹 𝗳𝗮𝗶𝗹 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝘁𝗵𝗲𝗶𝗿 𝗶𝗻𝘁𝗲𝗻𝗱𝗲𝗱 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀.. In a market defined by rapid innovation, rising regulation, and relentless customer expectation - the difference between success and failure has never been clearer. ⚠️ The Harsh Reality Across the UK, many Digital and AI initiatives underperform or stall completely, budgets are overspent, adoption lags, and dashboards show promise but not profit. Why? Because too many organisations focus on technology delivery rather than business transformation. 🔍 Why So Many Transformations Fail 1️⃣ Strategy without alignment – No clear link between vision, value, and KPIs. 2️⃣ Legacy complexity – Technical and data debt prevent scalability. 3️⃣ Cultural resistance – People revert to old ways of working. 4️⃣ Product-first thinking – Vendors lead with platforms, not problems. 5️⃣ No agility – Big-bang programmes collapse under their own weight. 6️⃣ No continuity – Once delivered, projects lose momentum and governance. 🌍 The 2025 Landscape AI is redefining competitive advantage at record pace. Regulators demand evidence of good outcomes and data integrity. Budgets are shrinking, but expectations are soaring. Transformation failure is no longer “acceptable risk” - it’s a board-level exposure. 🤝 The Power of the Trusted Advisor Model Organisations succeeding with Digital & AI are doing one thing differently - they’re partnering with Trusted Advisors, not transactional vendors. Here’s why that changes everything 👇 ✅ Deep business context – understanding goals before prescribing tech. ✅ Discovery-led roadmaps – co-creating phased, outcome-driven journeys. ✅ Agile delivery – small wins, constant validation, rapid iteration. ✅ Proactive service – anticipating issues, not reacting to them. ✅ Capability transfer – building internal confidence and independence. ✅ Shared accountability – success measured in outcomes, not invoices. 🧭 What UK Leaders Should Be Asking 🔸 Are we defining success in business outcomes, not deployments? 🔸 Do we have a cultural adoption strategy alongside technology rollout? 🔸 Are we partnering with consultants or Trusted Advisors? 🔸 Are we reviewing and adapting quarterly, not annually? 🔸 Are we treating AI as a living system, not a static tool? 🧩 Final Thought The winners in 2025 will be those who build partnerships based on trust, agility, and continuous innovation because technology alone doesn’t transform organisations - people, partnerships, and proactive service delivery do.

Are your brightest minds still bogged down by mundane, repetitive tasks? 😩 Imagine a world where your teams are consistently empowered to focus on innovation, strategy, and truly impactful work – a world where critical human potential isn't wasted on the routine. This isn't a distant dream; it's the present reality with AI-powered automation. Many businesses are inadvertently stifling growth and employee morale by allowing valuable hours to vanish into administrative black holes. From data entry and report generation to customer service inquiries and complex process orchestration, these tasks consume time, introduce errors, and drain creativity. The true cost isn't just in wasted salaries, but in missed opportunities for strategic advancement. At Neonys, we see AI automation not as a cost-cutting measure, but as an **opportunity amplifier**. By intelligently delegating predictable, rule-based, or high-volume tasks to AI, we free up your human workforce to engage in problem-solving, creative thinking, and relationship building – activities that genuinely drive your business forward. This isn't about replacing people; it's about elevating their roles and making every minute count. Here’s how AI-powered automation truly unleashes potential: * 🚀 **Boosted Productivity:** Automate workflows that once took hours, completing them in minutes with higher accuracy. * 💡 **Strategic Focus:** Reallocate human talent from "doing" to "thinking," fostering innovation and growth. * ✅ **Enhanced Accuracy & Compliance:** Minimize human error and ensure consistent adherence to regulations. * 📈 **Scalability & Agility:** Easily scale operations up or down to meet demand without overhauling your workforce. * 🌱 **Improved Employee Satisfaction:** Reduce burnout by eliminating tedious tasks, allowing employees to thrive in more engaging roles. This shift isn't just a trend; it's a fundamental reimagining of how work gets done. Businesses that embrace AI automation are not only optimizing their operations today but are also future-proofing their teams for tomorrow's challenges. They're building a culture where human ingenuity is celebrated, not stifled. What's one repetitive task you wish AI could automate for your team? Share your thoughts below! 👇 Ready to unlock your team's full potential and transform your business with intelligent automation? [www.neonys.fr](http://www.neonys.fr) #AIAutomation #DigitalTransformation #FutureOfWork #BusinessEfficiency #Innovation #WorkplaceProductivity

Interesting graphic that Gartner shared today. Nearly 50% of enterprise GenAI projects may fail by 2026. AI captured 45% of tech investment last year. Companies are pouring money into this. So why are half of these projects at risk of failing? Most organizations are still figuring out the "what" of GenAI without nailing down the "how" of actually bringing it to market. According to Gartner, the companies that will actually win in 2026 are focusing on three things: → Establishing clear customer lifetime value: Not just impressive demos, but real GTM readiness with focused use cases and smart pricing strategies. → Embracing transformative strategy: Not tweaking what already exists, but pivoting quickly and aligning the entire organization around a mission-driven purpose. → Mastering cost management while scaling: Using AI to drive operational effectiveness, not just to cut costs. Top performers are investing in growth while engineering teams reflect the efficiency gains. GenAI is moving through the 'Trough of Disillusionment' faster than most people realize. The hype is fading, but the real opportunity is just becoming clear. In my opinion the appropriate question is: Are you building for the hype cycle or are you building for the long game? 🔗https://lnkd.in/g_2iAdPA #AI #GenAI #TechStrategy #GTM #Innovation