Steffen Gackstatter’s Post

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/sCFGyY #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/yZSows #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/56luOz #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/PXzYTV #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/4NUTpK #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/6ahCou #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/bFi67C #RolandBerger #AIAgents #AIInside

What if the rise of AI agents is less about replacing people and more about discovering new levers for competitive advantage? To prove the potential is too significant to ignore, I'm seeing that, according to Roland Berger’s latest work, AI agents are becoming a strategic imperative because they enable: 💡 Hyper-efficiency and scalability: automating not just tasks but complex, end-to-end processes. 💡 Better decision-making: data-driven insights humans can build on. 💡 Adaptive resilience: learning from outcomes and adjusting to change. 💡 Innovation pathways: from new offerings to entirely fresh business models. In short, I believe we're moving from "tools I use" to "digital collaborators I work alongside." That transformation is profound, and it calls for a rethink of how technology and talent fit together. If you want to dive deeper into the future of AI agents, this study has the answers: https://okt.to/qZCbSh #RolandBerger #AIAgents #AIInside

If business were a city, AI would be the cable system. It runs underneath everything - unseen when it works, disruptive when it doesn’t. McKinsey’s spring survey shows 78% of organizations now use AI in at least one function. But here’s the catch: fewer than one in five track clear KPIs, and less than one-third follow scaling practices like building road maps. That’s like laying cables without ever checking if the lights switch on. And, given the picture, the result is predictable: many pilots, little enterprise-wide value. AI is less about flashy demos, more about rewiring workflows and governance so the system becomes infrastructure. Quiet, gradual, almost invisible - yet essential to how value flows. From my experience, the most overlooked factor is governance. McKinsey finds CEO oversight is one of the strongest drivers of bottom-line impact. So, when leadership treats AI as enterprise plumbing - embedded, measured, and governed at the top level - the results compound. The real question is: are we still in “installation mode,” chasing pilots, or are we ready to use AI as infrastructure? #AI #GenAI #TechStrategy #FutureOfWork #AIAdoption

𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 In most organisations, 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝. Teams juggle between ERP, CRM, email, Slack/Teams, external systems, and shared drives. The result? A 𝐟𝐫𝐚𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦. Studies show that employees 𝐬𝐩𝐞𝐧𝐝 𝟏𝟗–𝟑𝟎% 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐰𝐨𝐫𝐤𝐝𝐚𝐲 𝐣𝐮𝐬𝐭 𝐬𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 - 𝐚 𝐠𝐥𝐨𝐛𝐚𝐥𝐥𝐲 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐞𝐝 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 that slows down decision-making and drains productivity. 𝐐𝐮𝐞𝐬𝐭𝐭 𝐀𝐈 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 With Neo and Cortex, Questt goes beyond search. Cortex can easily handle compute at scale e.g. accessing 1,000+ files with 100,000+ data points, making 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐝𝐚𝐭𝐚 a paradigm shift. Questt not only helps you uncover the '𝐖𝐡𝐚𝐭' from the data mountain, but also the '𝐖𝐡𝐲' by being 𝐜𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥𝐥𝐲 𝐚𝐰𝐚𝐫𝐞 of your business. That is true decision intelligence in action. Faster answers. Smarter insights. Quicker decisions. That is the ROI of bringing context back into enterprise data.