How AI can Transform Repetitive Tasks

Who enjoys repetitive manual tasks? In #Finance, we try to automate them wherever possible. For example, in Treasury. One of their jobs sounds simple enough: Create a forecast of how much money we have available in the days and months ahead. We call this liquidity planning. In the past this meant lots of Excel spreadsheets, copying and pasting, checking, and double-checking. Exhausting – not to forget the tiny little errors that crept in only to be fixed in arduous work later. Forecasts were made for the end of each of the upcoming 12 months, making it challenging to project financial needs in the middle of the month. We’re now using #AI for this task. Many of the Excel spreadsheets are gone. My colleagues trained the algorithm and fed it with tons of data. It now detects patterns in our liquidity data. Every single day it learns by itself, and predictions are refined with each new cash flow. The forecasts have become much more granular: Now we can predict our liquidity on a rolling basis for each of the next 365 days, and we can do it for 31 currencies instead of just one. We know ahead of time whether a planned project will need additional financing – and if we have sufficient funds to rely on. Overall, this means borrowing less money and saving on interest. With #digitalization and AI, our financial planning has become more accurate. And my colleagues have said goodbye 👋 to some of their least-loved repetitive tasks. Instead, they focus more on strategy – and on improving the predictive model. #Teamwork #Treasury #SiemensHealthineers

I turned the most annoying 20 minute task of my job into 20 seconds. Here's the step-by-step breakdown: For years, I've been drowning in business card requests. Emails at all hours, random texts, people stopping by my office - all asking for the same thing but never giving me complete information. I'd spend 15-20 minutes per request just coordinating between employees, our designer, and placing orders. It was literally the least important but most time-consuming part of my week. Working with Claude (Anthropic's AI), I built my first AI agent that completely automates this workflow. Now when someone needs business cards, they fill out a simple form in Teams. The moment they hit submit: ✅ Data automatically saves to SharePoint ✅ A ClickUp task gets created for our designer with all the details ✅ Task gets assigned with a 3-day deadline ✅ I get notified when it's ready for ordering What used to take me 15-20 minutes of back-and-forth now happens in seconds. Zero manual work on my end. The crazy part? This entire system was built in a few hours using tools we already had - Power Apps, SharePoint, Teams, and Power Automate. No coding required. Here's my biggest takeaway: AI agents aren't just for tech companies. They're for anyone tired of repetitive tasks eating away at time that should be spent on strategic work. I'm a marketing leader at an oil and gas services company, not a programmer. If I can build this, anyone can. What repetitive task is driving you crazy? Maybe it's time to automate it. Next up: I'm eyeing our expense reporting process 👀

I spent 3 hours building an AI automation yesterday. It replaced 20 hours of weekly busywork. But here's what nobody tells you about the AI revolution: The technology isn't the hard part. The mindset shift is. Last quarter, I watched my Chief Of Staff spend 4 hours copying data between spreadsheets. Same task. Every Monday. For 2 years. I asked her: "What if we automated this?" Her response broke my heart: "But then what would I do?" That's when it hit me. We're not just afraid AI will take our jobs. We're afraid it'll reveal how much of our "work" was never really work. Here's what I've learned playing with AI tools: ❌ AI doesn't replace humans ✅ AI replaces tasks humans shouldn't be doing ❌ AI makes you lazy ✅ AI gives you time to be strategic ❌ AI is complicated ✅ AI is as simple as having a conversation The real transformation? When you stop doing $10/hour tasks and start solving $10,000 problems. My CoS? She now spends those 4 hours: → Building client relationships → Spotting growth opportunities → Creating systems that scale Revenue impact: +47% in 60 days. Not because of the automation. Because of what the automation freed her to do. Here's my simple AI adoption framework: 1. Track your repetitive tasks for 1 week 2. Pick the most time-consuming one 3. Ask ChatGPT: "How would I automate [task]?" 4. Start with the simplest solution 5. Reinvest the time saved into high-value work The Hurricane Method isn't about working harder. It's about working on what matters. And AI? It's just a tool that helps you get there faster. Stop fearing the robots. Start partnering with them. Your future self will thank you. — ♻️ Share to help someone win back their time 👤 Follow Matt Savarick for more on building systems that scale

Most people are doing AI backwards. They pick a shiny tool, then try to jam it into their business. It doesn't stick. Here's what works instead: Start with the problem. Not the solution. I call this the Inside Out AI Framework. It's simple: 1. Identify the problem inside your business first 2. Map the entire process 3. Then find the AI tool that fits Not the other way around. Process mapping is your key skill here. By 2026, this will separate businesses that use AI well from those drowning in subscriptions they don't use. Here's how to do it: Step 1: Run a Time Audit Track everything you do for 3-5 days. • Look for tasks that are: • Repetitive • Draining Time-consuming These are your AI targets. Step 2: Map the Process Pick one workflow. Something manageable. Draw it out. Every step. Use a visual tool (Miro, Lucidchart, even pen and paper). Example: Email inbox management • Check inbox • Read email • Decide: respond, delegate, file, or delete • Draft response • Send • File or archive Make it detailed. Include context and decision points. Step 3: Color Code It Assign colors to: • Your tasks (blue) • Team tasks (green) • AI tasks (orange) This shows: → who owns what at a glance. → where AI can actually help versus where a human must decide. Step 4: Select the AI Tool Only NOW choose your tool. Match it to the specific steps AI can handle. In my email example, AI: • categorizes • drafts replies to common questions • flags urgent items Step 5: Build, Test, Iterate Implement it. Track the results. Refine. My email workflow went from 90 minutes a day to 10 minutes. That's 6.5 hours saved per week. AI doesn't fix broken workflows. It accelerates the ones that already make sense. Start small. One process. One quick win. Build confidence. Then scale. The businesses winning with AI in 2026 won't be the ones with the most tools. They'll be the ones who mapped their processes first. What's one repetitive task in your business you could map this week? ⬇️ Let me know in the comments Want to know if an AI use case is worth it? Use my ROI calculator. It’s free. ⬇️ Sign up here https://lnkd.in/dKNuKHza ♻️ Repost to help your network automate with AI.

After almost three years of helping organizations navigate their GenAI journey, one thing has become crystal clear: We're not just witnessing a tech shift, we're part of a fundamental transformation in how we work. Let's be real. The headlines about AI replacing jobs are concerning. I've sat with countless teams wrestling with this uncertainty. Yes, we're seeing significant workforce changes, especially in areas like customer service and administrative roles. But here's what isn't making headlines: the incredible opportunities emerging for those who adapt. Working with dozens of customers, I've realized that the most successful transitions happen when organizations focus on augmentation rather than replacement. Teams and individuals that blend human expertise with AI capabilities are consistently outperforming their competitors. Here's what I've learned works: - Start by automating the mundane. Let AI handle repetitive tasks so you can focus on strategic thinking - Invest time in understanding AI tools - they're becoming as fundamental as Excel was 20 years ago - Focus on developing skills that AI can't easily replicate: critical thinking, emotional intelligence, and complex problem-solving The truth? AI isn't replacing humans. it's redefining what humans can achieve. Every week, I see professionals transforming their careers by embracing this change. Want to stay ahead? Here's a 30-day plan for BEGINNERS to get you started: Day 1-3: Explore AI basics through free online resources Day 4-7: Sign up for a basic AI awareness course on AWS Skill Builder (perfect for beginners!) Day 8-10: Start using a SaaS based tool such as Claude.ai for everyday tasks like: Writing and editing emails Summarizing long documents Creating presentation outlines Day 11-14: For technical folks with access to AWS: Explore Amazon Q Developer for coding assistance For non-technical folks with access to AWS: Try Amazon Q Business for data insights and report generation Day 15-21: Pick one repetitive task from your actual daily work, such as: Creating meeting summaries Analyzing customer feedback Drafting routine communications Organizing and categorizing information Day 22-25: Go deeper on prompt engineering (it's just like having a better conversation!) Day 26-30: Connect with others in your field who are using AI tools. Share your findings, learn from your community Don't feel pressured to tackle the technical aspects if that's not your role. Focus on how AI can enhance your current work, whatever that may be. Remember, the most successful AI adopters aren't necessarily technical experts. They're creative problem solvers, have a growth mindset, know how to ask the right questions, and direct teams using clear, concise, natural language. PS: when using a 3rd party AI tool in your work environment please be sure to understand your organization policies. #AWS #FutureOfWork #AIProductivity

Forget the hype. AI won't replace you, but someone using AI will. This isn't a prediction; it's a lesson learned from the trenches, from building companies like ZestyAI and navigating the early days of Paxton AI. The real threat isn't the technology itself, but our complacency. I recall a pivotal moment at McKinsey, years ago, when we saw early digital tools emerge. Many clung to old methods, convinced their expertise was irreplaceable. Yet, those who embraced and integrated these tools became indispensable, while others faded. Precisely because of this, I’ve always championed proactive adaptation. At ZestyAI, we didn't just build AI; we built processes that empowered our teams to leverage it, transforming data into actionable insights at unprecedented speed. The friction wasn't in the tech, but in convincing some to shed legacy thinking. To embed this, we ran internal "AI-first" sprints, forcing teams to reimagine their workflows with AI as the co-pilot. It wasn't about automating jobs, but augmenting human capability. This raised critical questions about skill development and organizational agility. This trend is not lost on me as I observe the current AI landscape. The companies winning aren't just buying AI; they're fundamentally rethinking how work gets done, empowering their people to become "AI-augmented" professionals. Herein lies the how-to: 1. Identify Your "Augmentation Zones": Where can AI take over repetitive, data-heavy tasks, freeing your time for strategic thinking and complex problem-solving? For us, it was initially data ingestion and preliminary analysis. 2. Become an AI "Prompt Engineer" for Your Role: Learn to communicate effectively with AI tools. It's not about coding; it's about asking the right questions to get the most valuable output. This was a game-changer for our product development cycles. 3. Embrace Continuous Learning: The AI landscape shifts daily. Dedicate time to understanding new capabilities and how they can enhance your specific function. Ironically, the more you learn, the less you fear. Whatever the outcome, the future belongs to those who adapt. How are you integrating AI into your daily workflow? 👇 Share your method or bookmark this for later.

Your HR team is spending 20 minutes on every employment verification request. Here's how to get that time back (btw, even if you use a vendor, you're spending time). If you're an HR leader at a mid-market company, you know this pain: an employee needs a verification letter for their mortgage. It seems simple—but between logging into your HRIS, pulling data, populating your template, and triple-checking accuracy, you've just spent 20 minutes. Multiply that by 100-200 requests per year, and you're looking at 50+ hours of pure administrative work. I just recorded a walkthrough showing exactly how we're solving this at Cleary using AI agent workflows. Here's what the automated process looks like: → Request comes in via email, Slack, or your ticketing system → AI triage agent identifies it as an employment verification request → System pulls employee data directly from your HRIS → Generates a completed verification letter on your letterhead → Presents it to you for 2-minute review and approval From 20 minutes of manual work to 2 minutes of review. The video also covers a second scenario: if you use a third-party verification service, the AI can automatically route requests to them with the right context—removing you from the bottleneck entirely. What makes this different from basic automation? The AI understands intent and context. It can handle variations in how requests are phrased, knows which data to pull based on the type of verification needed, and adapts to your specific policies and procedures. This is just one workflow. The same approach applies to PTO requests, benefits questions, onboarding tasks, and dozens of other repetitive processes eating up your team's time. For HR leaders thinking about AI: Start with high-volume, repetitive tasks where the business logic is clear. Employment verification is perfect because it's straightforward, happens frequently, and immediately demonstrates ROI. Once you automate one workflow, it becomes easier to identify the next opportunity. And we make it easy. Watch the full demo in the comments 👇 What's the most time-consuming repetitive task your HR team handles? Drop a comment—I'd love to hear what's taking up your bandwidth. #HRAutomation #AIforHR #HRTech #PeopleOperations #HRLeadership #FutureOfWork #EmployeeExperience

When we hear about AI and robots taking over jobs, we may be concerned, but Chick-Fil-A’s latest automation with lemonade-squeezing robots may be revealing a pattern. Clearly, AI and automation are changing how we work. But if you’re adding real value to what you do, you may not need to worry about a robot stealing your desk chair. Take Chick-fil-A’s story. By automating the task of squeezing 1.6 million pounds of lemons every day, the company has freed up thousands of hours for its employees. Now, instead of dealing with aching hands and repetitive strain injuries, workers can focus on serving customers, preparing food, and creating a better dining experience. This isn’t an isolated example: 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: AI helps doctors diagnose diseases faster and more accurately, but it doesn’t replace the human touch needed to comfort a worried patient. 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐞𝐫𝐯𝐢𝐜𝐞: Chatbots handle basic FAQs, leaving human agents more time to solve complex issues that require empathy. 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: Tools like AI-powered fraud detection flag suspicious activity, but analysts still make the final call. The reality? AI takes over the boring, repetitive parts of work so humans can focus on the creative, strategic, and personal aspects. Here are some stats to put things in perspective: A 2023 report by McKinsey & Company found that while automation may impact 25% of jobs, it will also create 97 million new roles globally by 2030. According to 𝐏𝐰𝐂, 67% of business leaders say AI helps employees do their jobs more efficiently rather than replacing them. A World Economic Forum survey found that only 5% of businesses planned to reduce their workforce due to AI—while 43% planned to expand it. In short, AI is more about enabling people to do better work than cutting them out of the picture. AI thrives in areas like number-crunching, repetitive tasks, and pattern recognition. But there’s one thing it can’t replicate: you. Your creativity, emotional intelligence, and ability to build trust are irreplaceable.  Here’s the deal: if you’re valuable at your job, AI won’t replace you—it’ll make you even better. 

– Generative AI is transforming professional associations by shifting focus from repetitive tasks to strategic, human-centered work. – Staff and volunteers once burdened by admin now use AI to draft emails, summarize meetings, and automate event logistics, freeing time for high-impact activities. – This shift makes emotional intelligence, strategic thinking, ethical judgment, and learning agility more valuable than ever. – Associations must help their teams adapt, offering AI training, workshops, and tools to integrate new technologies responsibly and effectively. – A client case study showed a 40% cut in admin time, 25% boost in event engagement, and significant gains in diversity and volunteer satisfaction, all through smart Gen AI integration. – By realigning roles and embracing lifelong learning, associations can turn automation anxiety into a growth opportunity. Which high-impact activities would you like your team to spend more time on?

Think about your average workday. You’re fielding emails. Ducking into meetings. Responding to Slack, WhatsApp, texts, calls… all while trying to do the work you were actually hired for. And that’s before you even open your to-do list. Most people spend way too much time managing the chaos instead of making progress. That’s where AI and automation steps in. It’s not about replacing people, it’s about removing the 30% of your week that’s made of repetitive tasks you never planned to do: - Updating CRMs - Sending follow-ups - Copy/pasting between tools - Notifying teammates - Logging things you’ll never look at again With no-code tools like Zapier, you don’t need to hire a developer to reclaim that time. You just need better systems. Studies back this up: companies using automation are six times more likely to see significant revenue growth. Why? Because they’re not stuck doing the same task 50 times. They’re building repeatable systems that deliver the same result, every time. That’s what makes businesses scale. That’s what keeps clients happy. That’s what lets your team focus on what actually matters. And now, it’s not reserved for companies with massive engineering teams. Automation is accessible—and in many cases, free to get started. If you’re feeling like your team is doing too much busywork and not enough real work… You’re not imagining it. But it doesn’t have to stay that way. — 🔔 Follow Nathan Weill for more AI automation insights (without the fluff).