AI and human potential: Advancing skills, innovation, and outcomes
When empowered employees put AI skills into action, true transformation begins. Across industries and around the world, organizations are teaming up with Microsoft to help their employees learn the skills they need to put AI into practice. Building AI skills today sets up employees and organizations to thrive in the opportunities of tomorrow. At visionary organizations, like Albertsons Companies, Casey’s, Levi Strauss, and Newell Brands, teams are moving beyond theory and weaving AI into everyday work, transforming routine tasks into opportunities for innovation and business growth. This isn’t just about technology—it’s about people reimagining how they make an impact—and, in the process, they’re building resilience, driving growth, and creating success. AI Skills Navigator: Guidance for your AI-powered growth To help more people tap into this potential, we recently announced AI Skills Navigator an agentic learning space, bringing together AI-powered skilling experiences and credentials that help individuals build career skills and organizations worldwide accelerate their business. Forward-thinking companies Icertis, LexisNexis Risk Solutions, MTN, and Vodafone previewed AI Skills Navigator and shared their excitement about the experience. They see this learning space as a way to strengthen their learning cultures, prepare their workforces for the future, and deliver meaningful results—from better customer experiences to innovation that scales. Empowering teams to lead with confidence We believe skilling should always start with people, especially in a fast-changing AI landscape. We’re inspired by what teams can achieve when they feel supported, and we’re proud to work with organizations of all sizes as they help their employees grow and lead with confidence. The examples that follow highlight how enterprises across industries and regions are building future-ready teams with Microsoft skilling—and seeing real impact. The Adecco Group, a leading talent solutions and advisory firm that serves more than 100,000 companies every year, is committed to upskilling its workforce and preparing employees for the future of work. Partnering with Microsoft, The Adecco Group provides skill-building that supports 300 million candidate interactions annually and fosters a learning culture that scales AI expertise across the company. Abu Dhabi National Oil Company (ADNOC), the state-owned energy company of Abu Dhabi, United Arab Emirates, operates across the entire oil and gas value chain. ADNOC and Microsoft have committed to co-develop and deploy agents that enhance efficiency, enable autonomous operations, and reduce emissions. This collaboration includes advanced AI tools and workforce training from Microsoft, in addition to the creation of a joint innovation ecosystem to drive transformative energy solutions. Albertsons Companies, one of the largest food and drug retailers in the United States, is helping its associates be more effective with AI. According to Anuj Dhanda, Executive Vice President (EVP), Chief Technology & Transformation Officer, "At Albertsons Companies, we’re better together, whether in our stores or behind the scenes, and we embrace groundbreaking innovation that empowers each of our team members to earn customers for life. Our partnership with Microsoft is one of many transformative AI initiatives we’re implementing to unlock the potential of AI, helping our associates to be more effective, simplify their work, and build a more capable workforce to serve our 37 million customers each week." The Belgian Ministry of Defense is working with Microsoft to strengthen its capabilities through the practical application of generative AI, supporting a future-ready workforce. With AI coaching, the ministry equips its personnel with the skills to enhance digital resilience and operational effectiveness. Bupa APAC, a global leader in health insurance, health services, and aged care, keeps skilling central to its strategy evolution. The company cites AI as a critical part of its transformation but points out that technology alone isn't enough. It’s focused on its teams—building the right skills to make AI effective across the organization. Casey’s, a Fortune 500 convenience store chain and one of the largest pizza retailers in the United States, is embracing AI throughout the company. As Sanjeev Satturu, Senior Vice President (SVP) and Chief Information Officer (CIO), explains, “At Casey's, we are dedicated to fostering digital dexterity by equipping our teams with innovative AI tools. Through our strategic partnership with Microsoft, we are providing employees with the knowledge and resources to seamlessly integrate AI into their daily work, empowering them to extend their capabilities, boost productivity, and drive our evolution. By embracing AI in everyday actions, we amplify our collective potential and accelerate meaningful progress across the organization.” CloudThat, a Microsoft Training Services Partner and award-winning global leader in training and consulting, set out to reimagine how people learn cloud and AI technologies. The result is CloudAttack, a proprietary, generative AI–powered, gamified learning platform that’s making skill-building more interactive, enjoyable, and measurable. As a result of CloudAttack, participants express new confidence in using Microsoft 365 Copilot daily. Plus, CloudThat reports a 100% increase over the last year in Microsoft AI and prompt engineering sessions at universities, along with a 15% increase in Microsoft Certification exam participation among enterprise learners. The nationwide CloudAttack Prompt-a-Thon, sponsored by Microsoft, brought together nearly 1,000 learners, all competing to craft effective prompts and use AI tools, like Copilot, more confidently. Commonwealth Bank of Australia (CommBank), one of Australia’s largest banks, is guided by its goal to build a brighter future for all. With Microsoft skilling offerings, the bank is enabling its teams to engage with AI, use the latest tools, and embrace new ways of working, as employees find out how AI can drive real impact. With a structured skilling approach and real-world experimentation, CommBank employees are learning to confidently apply AI to their day-to-day tasks, stay ahead, innovate, and help shape the future of banking. Conagra Brands, Inc., the consumer‑packaged goods company behind snacks like Orville Redenbacher’s popcorn and Slim Jim, continues its history of innovation by adding AI capabilities and skilling to a foundation of modernization. Training sessions and hackathons, held in partnership with Microsoft and demonstrating Microsoft Copilot, led to new ideas for specific use cases across business units. Conagra now has 120 Active AI Champions completing advanced Copilot trainings and 1,300 employees trained through AI + Data Day events, with a goal to train all 15,000 employees. AI skilling has helped Conagra teams be more efficient, generate less waste, and make better products for their consumers. Danone, a world leader in specialized nutrition, is exploring new frontiers in AI transformation. Juergen Esser, Deputy Chief Executive Officer (CEO) in charge of Finance, Technology and Data, observes, “Our collaboration with Microsoft will accelerate our AI transformation, providing us with the tools, technology, and expertise to explore new frontiers in data analysis, operational efficiency, and consumer engagement. Working together is not just about technology; it’s about fostering a culture of continuous learning, innovation, and performance across our organisation." Digital China Cloud Technology Limited partnered with Lenovo, the world’s largest PC company, to create a training program to help Lenovo employees move from casual interaction with AI tools to meaningful, scenario-driven usage. The goal was to onboard 30,000 employees in China—about 40% of the Lenovo workforce—to Microsoft 365 Copilot Chat and Microsoft Copilot Studio. The results included significant gains in productivity, efficiency, innovation, and more. As Lenovo China Operations Management Professional Dan Zhao explains, “Copilot Chat has fundamentally changed how we manage our daily workflow. What used to take hours now happens in minutes. It not only saves us time but also enhances the quality of our communication and strategic thinking." EPAM, a global leader in digital engineering and AI-powered software engineering services, is differentiating itself by focusing on Microsoft Applied Skills, moving beyond academic knowledge to real client impact. This approach demonstrates proficiency, strengthens outcomes, and provides a clear competitive advantage. With Applied Skills, EPAM fast-tracks AI readiness and project outcomes. Icertis, a leader in AI-powered contract intelligence, previewed AI Skills Navigator. Shwetambari Salgar, Learning & Organisational Development, is enthusiastic, emphasizing, “AI Skills Navigator provides an opportunity to upskill Icertis teams for the future through a unified learning platform. As a long-time Microsoft partner, we have a shared drive for innovation and continuous learning.” The International Center for Artificial Intelligence Research and Ethics (ICAIRE), under the auspices of the United Nations Educational, Scientific and Cultural Organization (UNESCO), aims to empower nations to advance ethical AI for the good of humanity. Through its global Women Elevate initiative, ICAIRE is equipping 5,000 women with entry-level skills in AI, data science, and responsible AI use. The program is delivered by Microsoft Training Services Partner Spectrum Networks and features a comprehensive curriculum covering foundational AI and cloud concepts, Azure essentials, and the Microsoft Certified: Azure AI Fundamentals Certification. By combining technical skilling with a strong focus on ethical innovation, Women Elevate is helping shape a new generation of women leaders ready to use AI to increase productivity, shorten time to market, and contribute meaningfully to the global AI ecosystem. Koç Holding is a Fortune Global 500 company and Turkey’s largest multinational conglomerate, operating across energy, automotive, finance, consumer goods, and retail sectors. The company is taking advantage of Microsoft Applied Skills, empowering more than 6,000 employees to build future-ready skills in cloud, AI, and automation—underscoring the company’s belief that digital transformation begins with people. Koç Holding employees demonstrate their technical expertise through real-world tasks with Applied Skills, which focus on targeted, scenario-based learning and validation. These staff members are turning their new skills into impact, solving business challenges and driving agility. Lenovo, a global technology powerhouse focused on delivering smarter technology for all, is expanding its collaboration with Microsoft to upskill an additional 4,200 employees this year, following the successful training of more than 3,000 to date. What began as a small pilot has evolved into one of Lenovo’s largest learning communities, reinforcing the company’s position as a leading force in the AI revolution. Levi Strauss & Co., global apparel company, is building the foundation to apply AI across its operations. As Karen Scholl, Vice President, Office of the Chief Digital & Technology Officer, explains, “We’re empowering our people to tap into the power of AI to unlock new possibilities, reimagine how we work, and accelerate our evolution into a best-in-class, direct-to-consumer retailer. Our partnership with Microsoft isn’t just about technology, but it’s about building the right foundation to embed AI across everything we do. From product design to store operations, we’re building and equipping every team member with the tools to drive innovation and growth, ensuring Levi’s continues to thrive for another 170 years. By leveraging Microsoft’s technological expertise, we’re redefining what’s possible for the future of retail.” LexisNexis Risk Solutions provides data analytics and technology to help organizations assess risk, ensure compliance, and prevent fraud. Sarah Fabius, Technology Optimization Program Manager, notes that the company is dedicated to equipping its workforce “with cutting-edge AI skills that fuel innovation in risk and data analytics technology. Through our partnership with Microsoft and the integration of AI Skills Navigator, we’re ensuring our teams have the tools and expertise to lead in a rapidly evolving industry.” MTN is Africa’s largest mobile network operator. Paul Norman, Group Chief Human Resources Officer, shares his perspective on AI Skills Navigator, noting, “At MTN, we believe in developing an AI-fluent organisation that empowers every employee to adopt and utilise AI responsibly and ethically. Microsoft AI Skills Navigator provides an exciting new learning innovation that can help demystify AI through its learner-centric and human-first approach to grow and develop an agile, resilient, and AI-inspired workforce of the future!" National Australia Bank (NAB), one of Australia’s largest financial institutions, is advancing its strategic commitment to AI, with more than 100 initiatives underway and thousands of employees already applying generative AI to deliver real business value. The bank emphasizes responsible AI, inclusive innovation, and strong leadership. Through a joint effort with Microsoft, 600 women have received AI training, reinforcing NAB’s vision of a diverse, future-ready workforce equipped to lead in the age of AI. Newell Brands, a leading consumer products company with a portfolio of iconic brands, is empowering its employees with Microsoft technology and skilling. As Chris Peterson, President and CEO, points out, “At Newell Brands, we see AI as a catalyst for creativity, productivity, and transformation. Through the Microsoft AI experience training series and access to Microsoft 365 Copilot, we’re empowering our employees with technology that helps them work smarter, boost productivity, and turn ideas into action faster. This is about more than adopting new technology—it’s about fueling innovation, driving efficiency, and creating lasting value across our business.” NTT DATA is a global IT services and consulting company that provides digital, cloud, and business solutions to help organizations innovate and transform. The company is building its workforce skills in generative AI in close collaboration with Microsoft and other leading partners. The company intends to train 200,000 of its employees by fiscal year 2027 and, as of October 2025, had already trained 70,000 of them. This initiative empowers staff members to apply generative AI independently, driving innovation in daily tasks and creating new value across the organization. OP Pohjola, Finland’s largest provider of financial services, is fueling transformation in the financial sector by embedding continuous learning into its culture. In a joint effort with Microsoft, the company is ensuring that every employee has the opportunity to build AI skills and can apply them responsibly every day. This commitment and world-class learning strengthens customer service, fosters innovation, and helps to shape the future of banking. Ricoh, a global technology company that provides digital services, printing solutions, and workplace innovation, believes that real transformation starts with people. The company is advancing AI adoption across its teams in the Asia-Pacific region, focusing on skill-building so team members can use new tools with confidence. Ricoh and Microsoft worked together to deliver AI Learning Week, which gave employees the opportunity to explore ways to apply AI meaningfully and responsibly and to reimagine how they work, enhancing human potential. Swiss Post, Switzerland's national postal service, together with Campana & Schott and Microsoft, launched an ambitious AI skilling and adoption program, delivering measurable results. The organization conducts regular surveys to gather feedback and better understand impact. Teams across logistics, finance, and corporate services are reporting meaningful gains in productivity and efficiency, while employees cite faster access to information, improved collaboration, and higher satisfaction with their digital work environment. These outcomes reflect a clear return on investment—both in operational performance and employee empowerment. Vodafone, a global telecommunications company, looks to the exciting possibilities of AI Skills Navigator. As Steve Garley, Senior Manager Technical and Digital Skills, explains, “AI Skills Navigator learner-first design aligns well with an AI-first approach and Vodafone’s ambition for readiness in the AI era. We see potential in Microsoft’s [skilling experience] to transform traditional training models and deliver role-based, just-in-time upskilling that drives real business outcomes.” From retail to telecom and more, these organizations prove that empowered teams can spark innovation and lasting growth. Their experiences highlight a truth worth remembering—transformation starts with people. When employees feel confident in their skills, they create success that extends well beyond daily tasks. If you’re ready to empower your workforce with the full potential of AI skilling, get your teams started with AI Skills Navigator.AI at every career stage (start, grow, lead)
Explore how AI can support your work at every stage of your career. Learn practical ways to build confidence early on, scale your impact midcareer, and strengthen strategy and coaching as you lead. In the final post in this series on AI for business users, Microsoft Senior Learning Manager Ashley Masters Hall shares insights on how AI skills can help you grow your confidence and impact, along with your career. In my first post in this series, Bringing AI fluency to every corner of the organization (even yours!), I highlight why AI fluency matters for every business user and how to get started. In the second, AI prompting tips & tricks for everyday tasks, we look at simple approaches that help non-technical roles work smarter. In this final post, we explore how AI can support you at every stage of your career, from your first role to senior leadership. I hear two questions all the time from people at very different stages: Is it too early for me to care about AI? and Is it too late for me to learn this? My answer to both is simple: no. AI is useful at every career stage. What changes is how you use it to support your work and grow into what’s next. If you’re about to graduate (or new to your role) Early in career can feel like learning a language: acronyms, tools, processes, and all the unwritten rules. AI can help you ramp up so you don’t have to pretend to know everything. I recommend: Translate what’s unfamiliar. Prompt Microsoft Copilot: Explain [this] like I’m new to the team. What are the key terms, and what do they mean? Great for onboarding docs, meeting notes, product overviews, and customer histories. Prepare with confidence. Prompt Copilot: I have a 1:1 with my manager. Offer some smart questions to ask based on [these] goals. Helpful for performance conversations, project kickoffs, and cross‑team introductions. Draft quickly and cleanly. Prompt Copilot: Turn my [notes] into a clear email/status update with a short subject line. Works well for weekly updates, follow‑ups, summaries, and stakeholder recaps. How it looks: After a big meeting, Maya, a new program coordinator, has pages of notes and a calendar of follow‑ups but needs an organized summary: She drops her notes into Copilot and asks for decisions made, action items with placeholder owners, open questions, and a draft summary in her team’s format. Putting AI fluency into action, she prompts: What might I have missed? Maya acts on the response and verifies the final summary before she shares it with the team. Instead of spending hours turning notes into structure, she can spend her time making sure the structure is right. That’s a good trade. If you’re midcareer (more scope, more stakeholders, more “Can you just…?”) In midcareer, your work becomes less about your individual output and more about how work moves across teams. You’re interacting with different roles, finding how best to meet goals, and strengthening relationships. AI can help you scale the tasks that quietly take up your week. For example: Audience‑specific rewrites. Prompt Copilot: Create a version of [this] update for each audience: leaders, teammates, stakeholders. Helpful for keeping your message consistent so you don’t have to write each version from scratch. Decision memos and tradeoffs. Prompt Copilot: Draft a decision memo with risks, options, and what we need to decide, based on [these] details. Useful for product choices, budget requests, vendor evaluations, and roadmap changes. Workflow cleanup. Prompt Copilot: Turn [this] messy intake process into a simple template. Great for streamlining workflows across teams. How it looks: Jordan manages marketing for a product launch and is juggling competing requests: He prompts Copilot: Draft three campaign brief options, including assumptions, target audience, success metrics, and items to confirm. From the results, Jordan picks the best draft and adds details that Copilot didn’t have, such as brand voice and stakeholder nuance. He then prompts Copilot: Generate an FAQ for field teams and a launch timeline. Jordan refines everything into a final draft. The win isn’t that AI “did the work.” It’s that Jordan got to a usable plan fast, freeing him to focus on the judgment calls. If you’re an experienced professional (strategy, coaching, and making the system better) Later in your career, your job shifts from producing artifacts to shaping direction, like spotting patterns, coaching people, and reducing friction so teams can execute. AI can support that work in ways we often overlook, such as: Stress‑test strategy. Prompt Copilot: What would have to be true for [this] plan to fail? Helpful for pressure‑testing assumptions before you commit. Scenario thinking. Prompt Copilot: If [X] happens, what’s the second‑order impact on customers/teams/timelines? Useful for planning cycles, risk reviews, and leadership discussions. Coaching support. Prompt Copilot: How can I help my team members turn [these] rough drafts into clear narratives? Practical for freeing up more time for the coaching only you can do. How it looks: Rina runs business operations for a large organization. Instead of sifting through 40 pages of retrospectives: She uses Copilot to cluster themes, prompting: What slowed teams down? Which patterns repeat? Which decisions keep getting revisited? Rina turns the response into a short pre-read, with top themes, supporting examples, and a proposed set of focus areas. Then she brings leaders together to decide what should change in the coming quarter. How to pick your next AI skill (without spiraling) If you’re wondering where to start, I recommend that you check out AI Skills Navigator, the agentic learning space from Microsoft that brings together AI-powered skilling experiences and credentials to help you build career skills. AI Skills Navigator is structured, creating pathways based on what you do, so you don’t have to bounce between random tutorials. Map Copilot skilling to your career stage: Early in career. Copilot foundations, prompting basics, and quality checks. Try How to Prompt Copilot to Make Presentations in PowerPoint. Midcareer. Role‑based scenarios, decision memos, and stakeholder communication. Check out Copilot in Outlook helps you craft more impactful communications. Experienced. Strategy, responsible adoption, coaching, and scaling patterns. Explore The AI Shift: What Leaders Need to Know About AI Agents.AI prompting tips & tricks for everyday tasks
Simplify your day, with these practical habits that make the most of Microsoft Copilot. In this second blog post in a series of three, Microsoft Senior Learning Manager Ashley Masters Hall shares her practical perspective on the small prompting choices that can make a big difference in Microsoft Copilot results. I’ve been at Microsoft nearly six years now—long enough to see AI go from interesting experiment to everyday tool. In my first post of this series, Bringing AI fluency to every corner of the organization (even yours!), I explored what AI fluency looks like in real life and why it matters for every role. This post picks up where that one left off, as I share my tips & tricks for practical prompting in Microsoft Copilot to make everyday tasks easier. In my experience, most people don’t need more AI. They need fewer weird moments with AI. You know the ones—a confident answer that’s not true, a draft that sounds like a toaster manual, or a summary that technically covers the content but misses the thing you actually care about. So I pulled together a short list of simple habits that can make Copilot more useful and reliable. These tips & tricks help me (and a lot of my colleagues) get better results right away, without spending all day crafting prompts. Five practical prompting tips Five practical prompting tips. Tip #1. Treat Copilot like a teammate, not a vending machine. Begin with this mindset shift: Copilot isn’t necessarily the source of all truth—it’s a brainstorming partner. When I treat Copilot like a collaborator, my results immediately improve. I ask it to think with me, not for me. This is key. A few prompts I use constantly in Copilot include: Give me three options, not one. List your assumptions and what you need to verify. What are the risks or ways this could be misleading? These questions pull the model out of “confident answer” mode and into “help me reason through this” mode. Tip #2. Take prompt templates and edit them like you mean it. I keep a “favorite prompts” doc open all the time—not because prompts are precious, but because “past me” did “future me” a favor. Here are a few templates that work across roles. Copy them, and fill in the brackets to make the prompts your own: Clean summary. Summarize the text below in 4 bullets for [audience]. Include: decisions, risks, open questions, and next steps. Then propose 3 follow‑up questions I should ask. Rewrite with constraints. Rewrite this to be clear and human. Keep it under [number] words. Use a friendly, direct tone. Don’t add new facts. Notes → plan. Turn these notes into a plan with milestones, owners (use placeholders), risks, and dependencies. Output as a table. Brainstorm with trade‑offs. Generate 10 ideas for [goal] tailored to [persona]. For each idea, include a 1-sentence rationale + 1 downside. Decision support. Create a decision matrix comparing [A] vs [B] vs [C] across cost, time, risk, and impact. Before you start, ask me 3 clarifying questions. The magic isn’t the template—it’s the editing. The more specific you make it, the better the output can be. Tip #3. Add a 60‑second quality‑check loop. My rule is “If I’m going to share it, I’m going to check it.” The good news is that you can do that quickly—and you can ask Copilot to help. A few prompts I use for that final pass: Self‑critique. What are 5 ways this could be wrong, incomplete, or misleading? Missing info. What information do you need to be confident in this? Force structure. Put this into a table with columns: claim, evidence, confidence, and what to verify. Sensitivity scan. Flag anything that might be confidential, policy‑sensitive, or risky to share externally. This loop takes just one minute (or even less) and can save hours of cleanup later. Tip #4. Practice on something straightforward. If you’re trying to build confidence in Copilot and in your own skills, don’t start with your highest‑stakes deck. Begin with the things you do all the time—even something not related to work, like planning a meal or a weekend trip. When you start the day with your to‑do list, pick one thing that shows up regularly—the one that makes you think, “There’s got to be a way to spend less time on this.” Then take a few minutes with Copilot to make that task easier. Try this simple routine: Share the task with Copilot and ask, How can I use Copilot to reduce the amount of time I’m spending on this daily task? Tighten the prompt by providing additional clarity and requesting a format. Do the quality-check loop. Save the prompt that worked. That’s it. You’re building practical AI fluency and making your day a little easier. Tip #5. Borrow good prompts from other people. I asked a few colleagues to share their favorite Copilot prompts. Here are some that can change the way you lead with AI: Build my voice. If you’re looking to guide Copilot to reflect your personal voice and style in outputs, try this: Look at the emails and Teams messages I’ve sent in the last two weeks. Use them to create a personal brand voice document I can use to guide Copilot. Triage my inbox. If you’d like help focusing and prioritizing tasks, try this: Summarize my unread emails in a table. Include: Topic | Summary | Action Items | Follow-Up. If I’m directly mentioned, make the topic bold. Daily AI briefing. If you need a quick, reliable snapshot to help you stay current, try this: Compile the key AI news from the last 24 hours into a structured table. Include: Short Topic, Brief Summary, Suggested Impact, Source Name, and Link. Prioritize the entries by potential impact. Include reputable sources across a diverse range of media outlets. Exclude less reliable sources, and avoid overrepresentation of any single outlet. Explain my job simply. If you need details to help colleagues understand your responsibilities, including what you handle, how you contribute, and when to loop you in, try this: Can you summarize my job in layman’s terms? These are great starting points—and they’re even better after you tune them to your role. Four proven prompting tricks Now that you’ve tried those tips, put these tricks to work for clearer, more dependable results from your prompts. Four proven prompting tricks. Trick #1. Iterate and refine. Don’t stop at the first version. Ask for variations, define constraints, and request a fresh angle. Iteration helps you surface better ideas and guide Copilot toward clearer, more dependable output. Trick #2. Ask Copilot what you should have asked. After you get a response that hits the mark, ask Copilot, What should I have prompted you originally to get this in one shot? This one changed everything for me. It’s a fast way to sharpen your prompting habits and learn to guide Copilot with more precision. Trick #3. Let Copilot ask you questions. Sometimes I don’t know which details matter. So I start high level with, Ask me any clarifying questions you need me to answer. It’s a simple way to give Copilot the context to deliver a result that fits your real intent, uncover what matters, and fill in gaps you didn’t even realize were there. Trick #4. Give your prompts the foundation they need. Good prompts aren’t complicated, but they do have a few elements that make them work better. When you’re writing a prompt, include your goal, the context, the source you want Copilot to use, and your expectations for the output. The more of these elements that you include, the better the result can be. Bring your prompts to life The more you prompt, the better you prompt. It’s a skill you build through regular practice each day. Over time, you start to recognize what makes a prompt work—treating Copilot like a teammate, making prompt templates your own, adding a quality-check loop, tightening your instructions, iterating with purpose, and using the right mix of goal, context, source, and expectations. Those small habits add up to clearer drafts, faster cycles, and fewer of those “Why did it write that?” moments. If you want a structured way to practice, check out Craft effective prompts for Microsoft 365 Copilot in AI Skills Navigator. Using real-world scenarios and examples, learn how to craft effective and contextual prompts for different tasks and how to use built-in features in Copilot to get better results faster. And, while you’re in a module in AI Skills Navigator, try the Summarize module or Turn module into podcast feature. Cool, right? Introduction to the “Craft effective prompts for Microsoft 365 Copilot” learning path in AI Skills Navigator. Up next Stay tuned for my third and final post in this series, AI looks different depending on where you are in your career. Let’s talk about that. In the meantime, happy prompting!Bringing AI fluency to every corner of the organization (even yours!)
Ashley Masters Hall joined Microsoft more than five years ago, just a month after earning her undergraduate degree. She’s currently a learning manager at Microsoft, focused on AI skilling for business pros. In this first blog post in a series of three, she shares her insightful and relatable perspective on AI fluency and skills for everyone in the organization. I was driving to an appointment recently, and I was reminded of the days when we used to print out directions at home and then try to follow them while driving. That was until GPS and later map apps came along. Suddenly, we had real-time guidance and rerouting from our phones. At first, we might have been reluctant to give up our familiar (though inefficient and unsafe) habit of wrangling printed directions behind the wheel. But once we experienced the speed and simplicity of GPS, there was no going back. AI is having its GPS moment. Two years ago, AI was this mysterious thing, a shiny object we weren’t sure we needed. Now, it’s the default way to navigate (and even orchestrate) work. Just like GPS didn’t replace driving, AI doesn’t replace thinking. It removes friction, gives us faster paths, and lets us focus on better outcomes. So the question isn’t, “Will AI change work?” It already has. The real question is, “Are you fluent enough to lead with it?” Regardless of your role or team, AI is likely already part of your world. In this blog post, the first in a series of three, I share practical tips, including six easy steps, that turn AI from a buzzword into your work GPS. What I mean by AI fluency (no jargon, I promise) Let me first define AI fluency. AI fluency is the degree of understanding and ability to interact effectively with generative AI. It’s recognizing when AI will add value and inspiration, plus having the skills to incorporate it into your workflows and tasks. AI skills are now foundational for everyone in every department. These skills not only help set you apart but also help keep you in the mix as work and roles evolve. We’ve seen a shift in the job market toward skills efficiency rather than work experience. In fact, according to the January 2025 LinkedIn Economic Graph Work Change Report: AI Is Coming to Work, “By 2030, 70% of the skills used in most jobs will change, with AI emerging as a catalyst.” Five years ago, when I was interviewing for jobs, my differentiators were my work experience and the Microsoft Certifications I had earned, which verified my expertise and abilities with Microsoft Office apps. But in interviews last year, most of the questions I got were about how I use AI today and how I’d apply it in the role. That’s the reality: AI fluency isn’t a future skill, it’s a “now skill.” It’s the differentiator that hiring managers seek. They want to know the real-world ways that you’re putting AI to work. Why this matters for your role (for every role, actually) If you’re wondering what AI looks like in your day-to-day work, you’re not alone. Let’s explore its practical applications for different teams and tasks. Marketing. If you’ve ever stared at a blank page trying to translate “We need a campaign” into an actual brief, AI can get you to a starting point fast. Maybe not the final answer, but a decent first draft that you can shape in your voice, for your audience and your goals. Sales and other customer-facing roles. AI is fantastic for meeting prep and follow-ups, like summarizing account notes, pulling themes from call transcripts (if they’re available), and drafting a clean recap email for you to personalize. The magic isn’t the email itself; it’s being able to more quickly and more clearly join in the conversation. Finance. Sometimes the hard part isn’t the analysis but the explanation. AI can help you draft the narrative: what moved, why, what questions a leader might ask, and what you should verify before you hit Send. Human resources (HR). AI can help turn good intentions into clear language, like job descriptions that match the role, onboarding plans that don’t overwhelm people, and summaries of themes you’re hearing so you can act on them before they get lost in the noise. Operations and program management. If your job involves herding context across multiple stakeholders, AI can help you turn chaos into structure, with action trackers, risk lists, crisp status updates, and decision logs you don’t have to rewrite every time. Legal/compliance (with the right guardrails). AI can help you triage, summarize, and spot inconsistencies. And then (pay close attention to this part) people do the actual review. Fluency includes knowing when to stop and bring a human into the loop. If you’re looking for a practical first step, regardless of your role, start with something familiar: email. Watch How to Prompt: Drafting Emails, and learn how Microsoft 365 Copilot can help you get to a first draft in seconds. One thing we shouldn’t gloss over here: AI can speed you up, but it doesn’t take responsibility for you. If you send it to a customer, put it in a deck, or use it to make a decision, you own it, so don’t forget the human layer. That’s the job. It doesn’t need to be scary, but it shouldn’t be overlooked. Get started with AI this week (an easy six-step plan that fits in your real life) If you do one thing after reading this post, don’t make it “Learn AI.” Make it “Pick one task you already do, and run it through a better workflow.” Choose one repeatable workflow. Think of something you do weekly, like meeting prep, a status update, a customer recap, a brief, or a summary. Decide what “better” means to you. Faster? Clearer? Fewer back-and-forth edits? More consistent output? Start with low-risk inputs. Use public info or your own notes while you get more comfortable with the tools. Give Microsoft 365 Copilot a task. Tell it the goal, context, source, and expectations, including the format you need, like bullets, a table, an email, or a memo. Check the work. Verify the facts, including names, numbers, and anything sensitive. Ask Copilot what might be missing. Save the good prompt. Keep it for future reference and reuse. No need to reinvent the wheel every time. Start strong with AI Skills Navigator When people ask me where to start, I have a simple answer: AI Skills Navigator, an agentic learning space that helps you build AI skills (even without a technical background) by bringing together AI-powered skilling experiences, credentials, and training. It makes learning feel approachable. Flexible formats, like short videos, AI‑generated podcasts, quick summaries, and guided skilling sessions, fit naturally into your day in the ways you learn best. This mix of formats helps you get started without feeling overwhelmed, stay engaged as priorities change, and keep up your momentum. AI doesn’t have to feel big. Make it small. Pick one task. Do it once with help. Keep what worked. Repeat it next week. And if you want an easy way to stay on track, start with (and keep coming back to) AI Skills Navigator. It’s like a learning “home base.” Assess where you are, choose a pathway by role or function, and build a habit of learning with small, steady steps. You may be surprised by how far a little AI fluency can take you.
