In our recent poll, 41% of respondents said their organisations are prioritising autonomous decision-making in their AI investments, more than any other category. That’s a clear signal: businesses are ready to move beyond automation and into intelligent action. Unlike traditional AI systems that follow static rules, Agentic AI introduces a new paradigm. One where AI agents interpret context, make decisions and take action independently. These systems evolve through experience, enabling smarter, faster and more adaptive problem-solving across the enterprise. Curious how it works and what it means for your organisation? 👉 https://lnkd.in/eeWUP3ap #TEKsystemsAPAC
Poll shows 41% of businesses prioritise autonomous decision-making in AI
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The main obstacle facing agentic AI adoption may be pricing models. As vendors recognize the value these AIs provide, many are creating pricing structures to increase revenue. Instead of passing the savings from AI to the consumer, some vendors are charging for each AI agent created, potentially hindering widespread adoption. This poses a challenge for businesses looking to leverage AI for cost savings. #AgenticAI #PricingModels #AIadoption #TechBusiness #Innovation #SoftwareVendors
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AI is everywhere, but not every AI model delivers the same value. 🤖 This article explains the difference between today's AI agents and the emerging class of agentic AI that can independently plan and execute outcomes. If your team is exploring automation, check out this piece:
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In a recent feature for The Brandbook 2025 EMagazine, Rahul Sharma shares how ALE is applying AI in strategic ways. From advancing automation to building proactive systems that support critical services, ALE’s focus is on practical applications of AI that help customers progress in their digital transformation journeys. Read the full article here for insights on how ALE is applying this to India’s tech landscape. https://lnkd.in/gWhesUPT #WhereEverythingConnects #Innovation #DigitalTransformation https://bit.ly/45GkFBk
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Agentic AI is coming, and it’s coming fast. By 2028, Gartner predicts 15% of day-to-day work decisions will be made autonomously by AI agents. But here’s the catch: integrating agentic AI into legacy systems isn’t as simple as flipping a switch. It’s complex, potentially disruptive, and often not worth the cost unless there’s clear business value. So when should you use agentic AI? ✅ Use AI agents where decisions are needed ✅ Use automation for routine workflows ✅ Use assistants for retrieval tasks And most importantly, rethink workflows to focus on enterprise productivity, not just individual tasks. Curious how your organisation should approach agentic AI or just want to explore what's possible? Come talk to us: https://lnkd.in/gZEr-DZk #AIinCX #AgenticAI #EnterpriseAI #CXStrategy #DigitalTransformation #FutureOfWork #AIProductivity #TokuAI
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In a recent feature for The Brandbook 2025 EMagazine, Rahul Sharma shares how ALE is applying AI in strategic ways. From advancing automation to building proactive systems that support critical services, ALE’s focus is on practical applications of AI that help customers progress in their digital transformation journeys. Read the full article here for insights on how ALE is applying this to India’s tech landscape. https://lnkd.in/enQMtHHV #WhereEverythingConnects #Innovation #DigitalTransformation https://bit.ly/4mFlJeO
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