How to Start Automating Processes

Most business owners get automation completely wrong. They think the goal is to “automate everything.” But here’s the truth: If you try to automate a business without structure — you’re setting yourself up for chaos. -- After building dozens of production-grade systems, here’s the framework we follow every single time: 1️⃣ Phase 1 — Automate the Repeatable Start with tasks that happen daily or weekly, follow the same structure every time, and don’t need human creativity. Examples: → Lead capture & enrichment → Sending proposals → Automated follow-ups → Data cleaning → Content blueprint generation These are the “low-hanging fruit” of automation — clear inputs, clear outputs, instant ROI. 2️⃣ Phase 2 — Clean & Structure Your Data → You can’t automate chaos. → If your data is scattered across random spreadsheets, CRMs, Notion docs — you don’t have a system. → You need a unified, structured source of truth before you automate anything. 3️⃣ Phase 3 — Automate Team Workflows Once your operations are structured, automate the flow of information across teams: → Sales to onboarding → Onboarding to project management → Client handoffs, invoicing, & delivery This is when things start moving without you lifting a finger. 4️⃣ Phase 4 — AI-Driven Automation Only now do you layer in AI decision-making & optimization: → Automated reports → Slack alerts → Behaviour-based triggers This is when automation stops being a time-saver — and becomes an actual growth engine. — Think of automation like plumbing: You don’t build the fancy bathroom before the pipes are connected properly. That’s how you build systems that scale — without burning yourself out.

I remember the days when the only solution was to throw more bodies at the problem. Hiring more people, Spending more time, and still feeling like we were never caught up. And then came technology. AI, Machine Learning, Big data, (*insert buzzword*) They all promised us a smoother ride. They're quick, they're intelligent. But is it really a choice between human intelligence or more tech? Clearly, neither is the perfect solution. When every minute counts, the last thing you want is to waste time on tasks that could be automated. Here’s how you can start: 1: Identify Repetitive Tasks Start with the easy stuff. Look at your daily tasks. Are there repetitive actions that take up time? These are prime candidates for automation. The mistake many make is trying to automate complex processes right away. But starting simple gives you quick wins. 2: Choose the Right Tools The right tool can make all the difference. Not all tools are created equal. Some are too complex for what you need; others don’t integrate well with your existing systems. The key is to choose tools that match your specific needs and are user-friendly. 3: Set Clear Goals Goals give you direction. Without clear goals, automation efforts can drift. You need to know what you’re aiming for. Whether it’s reducing manual reviews by 50% in three months or cutting review time by half, make your goals specific and measurable. 4: Start with Low-Risk Processes Start small, think big. Don’t try to automate everything at once. Begin with low-risk tasks that won’t cause major issues if something goes wrong. This allows you to test your automation approach and make adjustments without significant consequences. 5: Test and Monitor Automation is not a set-it-and-forget-it solution. Just because something is automated doesn’t mean it’s perfect. Regular testing and monitoring are crucial to ensure that the automation is functioning correctly. Without it, you risk overlooking errors that can snowball into bigger problems. 6: Train Your Team Your team needs to be on board. Automation tools are only as good as the people who use them. Training your team on how to use these tools is essential. It reduces resistance, increases adoption, and ensures that everyone knows how to handle the automated processes. 7: Integrate with Existing Systems Keep everything connected. Your automation tools should work seamlessly with your existing systems. If they don’t, you’ll end up with silos of information that create more problems than they solve. Integration is crucial for a smooth workflow. 8: Measure Success Data drives decisions. You need to track the performance of your automated processes. Without data, you won’t know if your automation is effective or not. Measuring success allows you to make informed decisions about what to tweak, scale, or scrap.

𝗗𝗼𝗻’𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝗺𝗲𝘀𝘀 - 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗳𝗶𝗿𝘀𝘁 I can’t stop preaching this. Why? Because automation accelerates whatever you feed it: good or bad! Too often we “𝗴𝗼 𝗱𝗶𝗴𝗶𝘁𝗮𝗹” layering tools and workflows on top of processes that were: ❌ Never truly designed ❌ Rarely checked ❌ Barely measured ❌ Never challenged for relevance And i have seen sufficient cases like this. 👉 𝗢𝘃𝗲𝗿𝗮𝗹𝗹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀. They don’t repair broken flows. If the process is weak, technology will only make the chaos faster, louder, and harder to track. So, before you automate, take a step back: ✔️ Map the process flow (SIPOC it) ✔️ Surface dependencies and constraints (policies, data..) ✔️ Co-design with users (Design Think the process) ✔️ Eliminate non-value adding steps and simplify the flow ✔️ Redesign with Automation in mind ✔️ Add AI where cognition helps (classification, prediction…) Procurement doesn’t need more bots (or AI Agents). 𝗜𝘁 𝗻𝗲𝗲𝗱𝘀 𝗮 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝘁𝗼 𝗿𝗲𝘁𝗵𝗶𝗻𝗸, 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴. What would you do first, before automating any process?

The first AI workflow I built didn’t start with AI. I was asked a great question recently on one of my AI posts: “What was the first workflow you built that actually changed things?” Before I built a single workflow, I didn’t touch any tools. The first thing I did was write everything down. Every task I was doing across a week, then over two weeks, and then across a full month. The small tasks, the repetitive ones, the things that quietly took time without me really noticing. Once I could see it all in one place, I started categorising: →What needed me. →What required thinking and decision-making. →And what was repetitive, process-led and happening again and again. That’s where the opportunity was. Only then did I start building workflows. The first one I created was around keeping up with social media updates and trends. Something that used to take me an hour or two every week. Now it runs automatically on a Monday morning, pulls in relevant articles for my audience, organises them in Notion, and even helps me think about how to turn them into content. That workflow only works because the thinking happened first. It’s also documented properly in my SOPs, so it’s clear, repeatable and easy to improve over time. AI workflows aren’t about automating everything. They’re about being intentional with your time. If you don’t know where your time is actually going, it’s very hard to know what to automate. If you’re thinking about building your own workflows, start by observing your work, not the tools. The clarity comes before the automation. What task would you hand over to an AI teammate first?

Advice for Beginners: How to Learn Automation by Studying Existing Machines If you are new to industrial automation, don’t feel pressured to write complex PLC programs from scratch. Reverse engineering is one of the safest and fastest ways for beginners to grow. Step 1: Learn the Machine, Not the Code Before opening the PLC software: -Watch how the machine starts, runs, stops, and faults. -Identify sensors, motors, cylinders, and safety devices. -Understand the normal operating sequence. If you don’t understand the process, the program will look confusing. Step 2: Start with Inputs and Outputs Begin by mapping: -Inputs: sensors, push buttons, safety signals. -Outputs: motors, VFDs, valves, solenoids. This helps you connect real hardware to PLC tags and addresses. Step 3: Find the Main Sequence Look for: -Step numbers. -Cycle control logic. Most machines are just a series of steps with conditions to move forward or stop. Step 4: Pay Attention to Interlocks and Safety Study: -Why the machine refuses to start. -What conditions must be true to run. -How faults are detected and reset. This teaches you safe automation practices, not just programming. Step 5: Understand Drive and Motion Basics For VFDs and servos: -How start/stop is controlled. -Where speed or position references come from. -What feedback is used. You don’t need to master motion yet — just understand the control flow. Step 6: Use the HMI as a Learning Tool. HMIs are very helpful for beginners: -Watch live signals. -See alarms and messages. -Observe how operators interact with the machine. The HMI often explains the program better than the code. Step 7: Ask Simple “Why” Questions Always ask: -Why is this condition here?. -Why does the machine stop at this point?. -What problem does this prevent?. This builds engineering thinking early. Why This Method Is Good for Beginners. ✔ You learn from real, working systems. ✔ You see how safety is implemented in practice. ✔ You build troubleshooting skills early. ✔ You gain confidence with unfamiliar machines. ✔ You understand automation as a system, not just code. When all is done the try writing your own code to run the machine. Beginner mindset: Don’t rush to write code. Learn how machines think first. Strong foundations lead to strong engineers. #IndustrialAutomation #PLCTraining #AutomationBeginners #ControlSystems #LearningByDoing

Why Your Automation Project might be Doomed before it has even begun... After working with countless small businesses on process automation, one thing has become painfully clear: The number one mistake is trying to automate broken processes. 🚫 Here’s the truth: no matter how fast you make something broken go, it’s still broken. The solution? Start with the basics: 1️⃣ Map your processes, step by step. Understand what your process looks like now and define what it should look like. Visual tools like Miro or putting it on "paper" can help you visualize inefficiencies. 2️⃣ Identify bottlenecks that exist now. Find what’s slowing you down before you bring in automation. (Otherwise, you’re just speeding up the chaos.) 3️⃣ Automate for the greatest impact. Focus on areas that will create the biggest leverage for your team and business. 4️⃣ Continuously improve. Once automation is in place, regularly revisit and refine your processes to address new bottlenecks and opportunities. When done right, automation doesn’t just save time and money—it transforms your business. 💡 Here’s an example: We helped a client significantly reduce their onboarding time from 10 days to 2 hours by using Make to integrate Stripe payments, automated emails, and Tally onboarding forms. The result? Their team could focus on service and growth rather than repetitive onboarding admin tasks. Are your automations solving the right problems? Or do you need to rethink the process entirely? #automation #businessgrowth #processimprovement #efficiency #smallbusiness

You can’t automate what you don’t understand. But I've seen a lot of teams try anyway. Industrial automation projects are complex endeavors that require careful planning and execution. Mistakes can lead to delays, cost overruns, and even project failure. Quick guide to prevent this headache: > Get your boots on the floor > Watch your operators > Time each task > Document the "unwritten rules" (those little tricks operators use to keep things running) > Map failure modes and edge cases (especially part changes and contamination) > Validate your process map with maintenance, engineering, and operators > Prototype critical paths before full deployment I've spent millions learning these lessons. Save yourself the tuition and bake them into your next automation project. Need help avoiding common automation pitfalls? Message me.

Most people start Power Automate from a blank flow. That’s the slowest way to learn. For my first year, I didn’t use templates because I didn’t even know they existed. I rebuilt logic that had already been solved thousands of times. I structured flows incorrectly. I limited what I thought was possible. Templates would have accelerated everything. Inside Power Automate, templates are strategy and a great teacher. When you search by the apps you already use like Outlook, Teams, and OneDrive, you start to see operational patterns: • Saving email attachments automatically • Posting structured Teams notifications • Moving and organizing files without manual sorting Templates expand use case awareness. They demonstrate structure. They reduce unnecessary reinvention. In this week’s Playbook, I break down how to: • Find the right template • Evaluate before you create • Customize intelligently • Test intentionally • Optimize version one If you’re new to Power Automate or you’ve only scratched the surface, this is one of the fastest ways to build automation correctly from the start. 🔷 Read the Playbook here: https://lnkd.in/gXsit4Sh

Feeling stuck in repetitive business tasks? This 14-step roadmap shows you exactly how to automate your business using AI — from planning and prompting to customer support, marketing, and team operations. Each step is paired with tools, goals, and clear advantages so you can launch smarter systems without writing a single line of code. Step 1: Set Clear Business Goals Use visual mapping tools like Notion AI or Miro to define what needs automation — marketing, lead gen, or support — so AI brings real impact, not fluff. Step 2: Identify Your Repetitive Tasks Tools like Google Sheets or Trello help list recurring work. This becomes your automation launchpad for the highest ROI. Step 3: Choose Your Core AI Tools Pick a flexible stack — ChatGPT, Claude, Make .com, Airtable — to handle writing, data, or workflows without development bottlenecks. Step 4: Learn Structured Prompting Master prompt writing with ChatGPT using Role + Goal + Context + Format. Get 3x better output with less cleanup. Step 5: Build Your First Custom GPT Assistant Use ChatGPT Pro’s GPT Builder to create AI assistants tailored to your tone, goals, and daily tasks. Step 6: Automate Content Creation Create blogs, social posts, and product copy using ChatGPT, Jasper, or Copy.ai. Keeps your brand voice strong and output consistent. Step 7: Automate Lead Generation & Emails Tools like Instantly. ai and Lemlist run cold outreach while you sleep — nurturing leads without manual follow-up. Step 8: Use AI for Hiring & HR Automate job descriptions, screening, and interviews using tools like TestGorilla and Hirelogic for faster, smarter hiring. Step 9: Set Up AI-Powered Customer Support Tools like Tidio or Intercom Fin let you build 24/7 chatbots that handle common support questions — no extra team needed. Step 10: Set Up Internal Workflows Use Make.com or Zapier to connect your backend — invoices, Slack messages, data sync — and eliminate follow-up chaos. Step 11: Add AI Analytics & Insights Turn raw data into dashboards with Tableau + GPT or MonkeyLearn to guide decisions without hiring a data analyst. Step 12: Automate Calendar & Scheduling Save time with AI tools like Calendly or Motion that auto-book meetings, send reminders, and remove scheduling headaches. Step 13: Create SOPs & Train Your Team Tools like ScribeHow or Tango document your AI workflows visually — making it easy for your team to follow, even if you’re away. Step 14: Set AI to Monitor Your Business Use tools like Feedly AI or Notion alerts to stay on top of trends, performance, and feedback — and act before problems snowball. ✅ Save this guide and start small — even automating one step can save hours. [Explore more in the post] Follow Denis Panjuta on Linkedin : https://lnkd.in/eUHjTBUi