UK's M365 Copilot evaluation: lessons for AI adoption in public sector

Is your organization fully leveraging the diverse power of advanced AI for productivity? Microsoft 365 Copilot just expanded its capabilities significantly, offering users a powerful new choice beyond existing models. This strategic integration marks a pivotal moment in intelligent workplace augmentation. The landscape of generative AI within enterprise tools is rapidly evolving, demanding greater flexibility and specialized performance. Businesses now have an unparalleled opportunity to select AI models optimized for specific, complex tasks. This development directly impacts how teams can drive both efficiency and innovation across their operations, from content creation to data analysis. Anthropic's cutting-edge Claude 3 models are now seamlessly integrated within Microsoft 365 Copilot, accessible via Azure OpenAI Service. This collaboration introduces a powerful suite of models—Opus, Sonnet, and Haiku—each engineered for distinct enterprise requirements. These models offer specialized capabilities, from Opus's highly complex reasoning to Sonnet's intelligence-speed balance and Haiku's rapid, precise information retrieval, significantly augmenting Copilot's existing AI foundation across M365 applications. For content strategists and business leaders, this integration signifies a profound shift towards a more nuanced and performance-driven approach to AI deployment. The unprecedented ability to choose an AI model specifically tailored to a project’s unique demands will inevitably lead to higher quality outputs and more streamlined, efficient workflows. Strategic model selection is rapidly emerging as a critical component of competitive advantage and operational excellence in the modern enterprise. How will your team adapt its AI strategy to harness these powerful, new options within Microsoft 365 Copilot? Share your insights on how specialized AI integrations like this might transform your operational efficiency, content creation processes, and overall business outcomes. Let's discuss the transformative implications for the future of work and enterprise productivity. #AI #Microsoft365 #Copilot #Anthropic #GenerativeAI

📂 Claude by Anthropic just leveled up—and business teams should take note. The AI assistant now supports direct file creation, making it easier than ever to generate reports, proposals, and structured docs without switching tools. It’s a major step toward frictionless workflows and smarter productivity. If you're exploring AI for enterprise efficiency, this update is worth your attention. 🔗 Read the full story: https://lnkd.in/gr7BjrrZ #AIProductivity #EnterpriseTech

I am interested, what is your opinion of the usefulness of Copilot? I am quite surprised that the study below found no evidence of productivity gains, however I suppose it depends on the use cases tested. Another article highlights MIT’s Ravin Jesuthasan contention that ‘introducing AI alone is insufficient; real gains require companies to redesign workflows, automate routine functions, and reorganize teams. Without this fundamental change, businesses risk maintaining outdated processes, limiting the benefits of AI adoption.’ Eg. a study showed that generative AI tools increased productivity among customer support agents by nearly 14%, with less experienced workers seeing improvements as high as 34%. What has been your experience of using AI in the workplace? https://lnkd.in/eeqfcbDh

Malaysian professionals are rethinking work with Microsoft 365 Copilot, cutting through digital clutter and getting more done. #AI #Productivity #CloudworksConsulting Learn More: https://lnkd.in/gZDntFsq

We're Baack! AI Office Hours is Back with Dave Bulger's Preso on AI IP Ownership (Thurs 9/18/25 @ 1 PM ET) Dear Friends, Dave Bulger is a pioneer in computer-mediated conversation, with nearly 40 years' experience combining behavioral science and conversational storytelling with a variety of real-time message tailoring technologies. His work in leveraging AI concepts to support behavior change acceleration have been applied to numerous industries, including healthcare, financial services, retail/CPG and B2B/B2C marketing. His current company, tuzag, creates Agentic AI solutions that feel personal, purposeful, and human, using a proprietary Relationship AI methodology to spark real engagement and drive meaningful action—building trust, guiding behavior, and accelerating outcomes. Dave will provide our usual ~15 minute SME primer - "Whose IP Is It, Anyway?" - that will lead directly to our ~45 minute AI governance discussion. His session will focus on a discussion of who owns content that has been influenced by Generative AI or generated based on prompts in real-time for end user interactions. The discussion will begin with an overview of three Agentic AI models and a use case that sets up the IP ownership discussion. Please join us for what promises to be an insightful conversation. As usual, no technical expertise is needed; only an interest in participating in an emerging discipline is required. Use this Microsoft Teams link to register: https://lnkd.in/gm89zEYt. AI Office Hours is a monthly free online forum designed to promote secure, responsible, and ethical AI governance, beginning with a 15-min expert primer to further your governance understanding. Accordingly, we hope you continue your 2025 AI governance journey with the AI Office Hours team - Helen Beckschi, M.Sc., CIPP/US, Adam Stone, and yours truly, Deborah Butler, Esq., IAPP AIGP, IAPP CIPM. And, as always, keep up the great work Friends!

Experimental results about the competitive advantages of AI. Not measurable. That's something I always warned about: the "huge competitive advantages" of AI sounds more like a dogma of the "AI First" sect than something really demonstrated. This experimental result (relative to a very specific context, of course) goes against the dogma. Note that users were satisfied, but no improvement in productivity was measured. This is no surprise: if you can use the latest AI novelty at work, you are enthusiast and you can convince yourself of being much more efficient. That's why subjective measurement are not enough and you need objective, more "numerical" data. #ai #aiethic #advantage #aifirst #aiadvantage #government #aiingovernment #copilot #microsoft

Are you a medium-sized business in the Netherlands exploring how to put AI to work? On 6 October at Microsoft HQ in Amsterdam, The Digital Neighborhood takes the stage to show how AI is already transforming CRM, ERP, and everyday business processes. AI in Action for Medium-Sized Businesses AI is no longer the preserve of tech giants. It’s helping companies of every size win customers, boost productivity, and stay competitive. ✔️ Hear from Job van den Berg, co-founder of AI nl, on how to turn global innovation into practical strategies for European businesses. ✔️ See AI Agents live in action with Rob Kuijpers and Charon Konings from GAC Business Solutions. ✔️ Walk away knowing where to invest, what to ignore, and how to make AI deliver measurable results for your organisation. 📅 6 October 2025 📍 Microsoft HQ, Amsterdam 👉 https://lnkd.in/dW9cih8d

Stop Waiting. Start Talking. Here’s how e-Lumi is changing enterprise communication forever: Human Conversations, Instantly, at Scale. Step 1 → Query Input Users ask a question in the interface. No more waiting in queues. e-Lumi instantly understands your intent. Step 2 → Knowledge Slicing Enterprise knowledge is chunked into: → SOPs → FAQs → Playbooks → Guides Each chunk is atomic — one complete answer per unit. ⚠️ Big walls of text = slow or inaccurate answers Step 3 → Knowledge Understanding Chunks of knowledge are transformed into numerical representations called embeddings. These embeddings capture the meaning and context of each chunk, allowing e-Lumi to “understand” the content rather than just reading it. When a user asks a question, e-Lumi compares the query with these embeddings to find the most relevant, accurate, and up-to-date answers instantly. Think of it like turning knowledge into a map that the AI can navigate, finding the right answer in milliseconds. Well-structured chunks = faster, precise responses Step 4 → Instant Retrieval e-Lumi matches your query → embeddings → ranks by relevance, recency, and trust → delivers the best answer. Step 5 → Answer Assembly Multiple chunks are stitched into a single coherent response. Users get one clear answer, not scattered info. Step 6 → Real-Time Delivery Fast ✅ Accurate ✅ Human-like ✅ No human delay. No repeated questions. This is enterprise communication reimagined. Here is one Real world example where eLumi can help. IT Services Company – First Level Support Employees often raise the same tickets — password resets, VPN setup, or software access. With e-Lumi, these queries are resolved instantly 24/7, helping maintain SLAs and response times, and if not fixed, it can escalate to the next level. This keeps IT teams focused on complex, high-value issues while ensuring service quality. Follow me to explore AI solutions. #VoiceAI #ConversationalAI #EnterpriseAI

Before You Roll Out AI, Clean Your House First! We all love the promise of AI-efficiency, automation, insights. But here’s the truth: if your data is messy, your AI will be too. Over the past few months, I’ve been deep in the trenches with teams working on Microsoft Purview implementation, data cleanup, and prepping for Copilot rollouts. And one thing is clear: AI success starts with disciplined data governance. Here’s what we’ve learned: Start with Discovery Meet with departments to understand how data is used, where it lives, and what’s outdated. You can’t govern what you don’t know exists Clean Before You Train Stale data? Redundant permissions? Anonymous links floating around? Use tools like AvePoint Workspace Management to revoke and reset Governance Isn’t Just IT’s Job We’ve seen the best results when business owners and technical leads co-own AI solutions. That means aligning on retention policies, sensitivity labels, and compliance needs from day one Train Your People AI tools like Copilot are powerful-but only if your team knows how to use them. Training isn’t optional. It’s the bridge between rollout and real impact Think Long-Term This isn’t just about launching a chatbot or automating reports. It’s about building a foundation that scales responsibly, securely, and ethically If you’re thinking about AI, don’t skip the groundwork. Clean data + strong governance = AI that actually works. Let’s talk if you’re navigating this journey. Happy to share what’s worked (and what hasn’t). #AI #DataGovernance #MicrosoftPurview #Copilot #ResponsibleAI #DigitalTransformation #ABMAi #ABMTechnologyGroup #M365 #Copilot

𝐇𝐨𝐰 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐞𝐚𝐫𝐜𝐡 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐀𝐫𝐞 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐒𝐞𝐚𝐫𝐜𝐡 AI-powered search platforms are reshaping the way businesses access and utilize information. By breaking down data silos, enhancing collaboration, and enabling smarter decision-making, these tools are revolutionizing enterprise search. The result is a more connected, agile, and innovative workplace where data truly drives growth and strategy. #AI #EnterpriseSearch #DigitalTransformation #FutureOfWork #Innovation #BusinessIntelligence #DataDriven #ArtificialIntelligence #SmartWorkplace