What is the role of human expertise and discernment in the age of AI? Our CEO and founder, Polly M Allen, recently spoke at GLG's company all hands.

Do you see only the tip of the AI iceberg?   The new SAS AI Blueprint reminds us that true AI success is about what is beneath the surface—Trustworthy AI, Robust Data, Analytics, Governance, and not the least Empowered People.   3 essentials for AI success   1️⃣ Design flexible and scalable technology. AI’s promise depends on the quality and integrity of your data. Modern data management is the foundation for trustworthy and responsible AI.   2️⃣ Drive results with smart AI processes It’s not just about having the right tech. Smart processes ensure your AI delivers real business value and measurable impact.   3️⃣ Enable people to power AI success AI doesn’t replace humans—it empowers them. People activate, govern, and amplify AI’s strategic value. They are not just participants – they are orchestrators and overseers.   Do you want to dive deeper into a guide for AI trust and ROI? Download the free AI Blueprint. And let me know if you want to discuss further – LinkedIn DM or traditional email (see my contact info here on LinkedIn)   🔗 https://lnkd.in/dcczebSJ

87% of companies aren't ready for AI success - but that's actually great news for the ones who get prepared first. While most businesses rush into AI tools and watch them fail, smart companies are building the foundations that turn AI into a true growth multiplier. The difference isn't the technology itself - it's having connected data systems, documented processes, aligned teams, and integrated tech stacks before adding AI on top. Companies with strong foundations are seeing compound growth effects while others waste budgets on "AI theater" that looks impressive but delivers little. The competitive advantage window is still wide open. Curious where your organization stands? We've built a comprehensive AI-Readiness Assessment that typically identifies $100k-$500k in optimization opportunities before any AI deployment. Take the assessment: https://lnkd.in/g2gx5x76 Find out if you're positioned for AI success or setting up for expensive disappointment.

This is a timely reminder: AI without process intelligence is just automation. The real ROI comes when agents mirror human decision-making. Spare some time to listen to these insightful observations from Skan AI

Sometimes I pause and realize, this is a strange time to be alive. A meeting I used to spend hours preparing for, AI helps me draft an agenda in minutes. A dataset I once wrestled with for days, AI models cleans and analyzes before I can even pour a cup of coffee. It is not that AI is replacing the work. It is shifting what the work feels like. In business analytics, I don’t just crunch numbers anymore but I spend more time asking better questions, thinking about why the numbers matter. That is the real change: we are not just living in a new “tech era,” we are living in a new thinking era. AI handles the heavy lifting, but it also forces us to be more human: curious, creative, critical.

I have this game I have been playing the last three years. I hear that something about a game-changing AI project. I look at who's saying it. Yup, it's a CEO who's getting pressure to bump up stock prices. It takes a few weeks but it usually ends up being underwhelming. Studies confirm this now: IBM says only 25% of AI projects hit expected ROI. MIT calls most of today’s AI output “workslop.” The WSJ Tech Council says ROI math for AI is flat-out broken. AI is not a revenue engine. Not yet. It’s an efficiency engine and a capability unlocker. Anyone chasing instant top-line growth are setting themselves up for disappointment. The real wins? The problems we've faced before: - Cutting waste (using AI&ML to analyze documents). - Reviving legacy assets (using gen AI to document old data, or outdated code). - Shaping culture (teaching supervisors to spot real productivity, not workslop). The leaders who win will measure transformation, not ROI. Tnere’s a caveat, however. Transformation comes from a culture of improvement and efficiency within the institution, coming alongside governance, technology expertise, and processes that were already integrated into that culture, long before gen AI. Agentic AI coders must be grown within.

It seems widely accepted that AI will transform organisations and professions — but only when it makes economic sense, and data privacy is all ok, right? Too often, teams rush AI features without asking the hard and dumb(?) questions: 🔸 Does this actually drive ROI? 🔸 Will the compute costs scale sustainably? 🔸 Is AI the right tool, or is there a simpler, cheaper alternative? 🔸 What's the root cause of the problem we're trying to fix? AI is compute-hungry, energy-hungry. If you’re not deliberate, costs add up very fast, and projects will be unsustainable. There's also the privacy bit. Smart orgs do three things: 1️⃣ Use traditional engineering where it’s efficient and scalable. 2️⃣ Use AI only if the payoff justifies it. 3️⃣ Run workloads on custom infra that makes the $ stack up and protects their data. Successul businesses won’t be the ones who sprinkle AI everywhere. They’ll be the ones who use it purposefully and carefully.

✨️Why Business Owners Need Gen AI?✨️ The rapid development of Generative AI (Gen AI) is not just a technology trend but a paradigm shift in business operations. For entrepreneurs and business leaders, adopting Gen AI is not replacing humans- it's enhancing their capability to do their best. This is the human element of AI. It's about augmenting human intelligence, not replacing it. When you make routine tasks automatic, you free your team to do what comes most naturally to humans: establishing relationships, tackling difficult challenges, and innovating. Data entry, email writing, or sorting through vast sets of data- these are all areas where Gen AI can be an assertive co-pilot. 🤔Where can a business owner start?🤔 The world of AI is confusing and daunting, with concerns around data privacy, ethics, and integration. That's where Teamlogic IT comes in. 🎯Teamlogic IT can help you in AI:🎯 📍Create a Strategic Roadmap: Teamlogic IT will assess your business needs and create a clear, workable plan for integrating Gen AI in a way aligned with your goals. 📍Manage the Complexity: Teamlogic IT will handle the technical heavy lifting, from tool choice to secure and compliant deployment. 📍Offer Expertise and Support: Teamlogic IT give you access to a team of experts who can train your staff, troubleshoot issues, and ensure your AI systems remain optimized. Don't fear the unknown. Gen AI is the key to unleashing new levels of efficiency and creativity. Join forces with a trusted MSP like Teamlogic IT to take advantage of this tech and unlock the potential of your greatest asset: your people. #GenAI #AI #MSP

AI agents are on the rise — but here’s the hard truth: 40% of enterprise agentic AI projects may be abandoned by 2027. A new playbook explains why so many stall: ❌ Diffused ownership between teams ❌ “Plug-and-play” fallacy — treating AI like SaaS ❌ Automating broken processes instead of redesigning them ❌ Lack of change management and cultural adoption The solution? ✅ Eval-driven development → test AI agents rigorously before scaling ✅ Context engineering → build systems that feed agents the right data at the right time ✅ Partnership over procurement → embedding AI engineers alongside internal teams The message is clear: success with AI isn’t just about smarter models. It’s about smarter systems and strategies. 👉 Do you think enterprises will adapt fast enough to escape the AI “pilot trap,” or will agentic AI remain a promise unfulfilled?