How to Clarify Processes Before Automation

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?

You can’t automate confusion. Every few months, someone proudly tells me: “We’re investing in automation to fix our efficiency problems.” Sounds great. Until you realize they’re about to automate… a mess. Here’s the thing most execs forget: Automation accelerates everything Good or bad. If your process is unclear, your automation will just make mistakes faster. I’ve walked into plants with shiny new robots feeding broken scheduling logic. AGVs stopping every 12 meters because no one re‑mapped the aisles. MES dashboards lighting up with real‑time nonsense. Millions invested. Zero improvement. Why? Because they automated symptom, not cause. Before you automate, ask brutally simple questions: Do we know what “good flow” actually looks like? Are sequences stable? Are materials and data structured to feed automation instead of fight it? If the answer is maybe, automation isn’t your next step, Clarity is. One of our clients delayed an automation project six months. Used that time to fix planning logic and simplify product changeovers. When the robots finally arrived… output doubled in four weeks. Not because of the machines But because the system finally made sense. Automation works when humans understand the problem it’s solving. Otherwise, you’re just teaching robots to chase the same chaos. _______________________ ♺ Reshare this, your VP Ops & division VP need to hear this. ► Want more no‑BS manufacturing and Supply Chain stories? Join my newsletter: https://lnkd.in/dMGaUj4p

One of the most underrated foundations of automation? Process mapping. Not flashy. Not technical. But essential. --- Before you even think of Make, n8n, Zapier or GPT — map the process. It’s like trying to build a skyscraper with no blueprint. You’re not automating tasks — you’re automating decisions, flows, and outcomes. And without a shared map, it all collapses. --- Before we touch a single tool, we start with process mapping. It’s not just a flowchart. It’s your operational source of truth: 1️⃣ Inputs — Where is the data coming from? 2️⃣ Logic — What are the decision branches? 3️⃣ People — Who’s involved (AI or human)? 4️⃣ Output — What does success look like? When this is clear, the system builds itself. --- We’ve rebuilt dozens of broken systems that skipped this step: → Teams not aligned on what “onboarding” even means   → Random triggers glued together with no structure   → Approval loops forgotten, human actors missing Three weeks later? Everything breaks & no one knows why. --- A good process map avoids all of that. It acts as: → Shared language across sales, ops, leadership → Insurance policy before any build → Blueprint for every transformation that happens in the business Every successful system we’ve built — from content engines to lead follow-ups to full-scale ops infra — started with this. --- And don’t overthink the tool to represent it: → Miro, Lucid, Whimsical, Figma… even pen and paper. The best tool is the one you’ll stick to. What matters is clarity. Not color palettes. --- So if your automations are breaking down, slow down. Start with the map. Then build the system. That’s how you build for outcomes — not aesthetics.

Glacier guides in Alaska have one rule: don't step anywhere until you KNOW where you're going. Same rule applies to automation. Your automation pilot just died in procurement again. Want to know why? Because you tried to sell invisible magic to people who sign checks. You can't put an ROI on a black box. Try this instead: Forget the automation pitch. Just map the workflow. Repeat after me: JUST. MAP. THAT. WORKFLOW. Get everyone in a room. Draw it out. Every handoff where Sarah emails Mike who updates the spreadsheet that goes to accounting who sends it back because they need different columns. Every "this usually takes 2-3 days" that actually means "sits in someone's inbox for 47 hours." Make. It. Visible. What happens next is borderline magical: The team starts pointing at the diagram like it's a crime scene. "Wait, we do THAT?" Leadership leans forward. Someone always says "I had no idea." The CFO starts doing math in her head. You might see a Tuesday afternoon whiteboard session uncover $200K in wasted effort. Zero automation. Just shining a light on work that's been invisible for years. The framework: Make it visible → Watch people get it → Then automate what matters Can't draw the current workflow on a whiteboard? You're not ready to automate anything. But the good news? The visibility itself pays for the project. This is why your best automation wins start with markers and butcher paper, not vendor demos. Show people what they're actually doing. The ROI writes itself. #ProcessAutomation #OperationsLeadership 📌 If we haven't met, I'm Shelly, engineer turned AI strategist. I help executives skip the generic playbooks and solve their actual problems. Follow for what works when you're done with the decks.

🧠 The secret to effective AI and automation in HR isn’t AI at all. It’s your process inventory. Before you plug in a new tool or chase the next big automation trend, ask yourself: 👉 Do you even know what your HR team actually does every day, week, month, and year? Most organizations don’t. They have tribal knowledge, outdated SOPs, and inconsistent governance—but no single source of truth for how work gets done. Here’s the framework I recommend: 1️⃣ Inventory every process. List all recurring HR activities—from onboarding and payroll runs to policy updates and reporting cycles. 2️⃣ Classify maturity. For each process, ask: - Is it fully documented? - Does it have a clear accountability and governance framework? - Is it integrated into your full HR SOP / seamlessly managed in the flow of work / the employee lifecycle vs treated as a standalone activity? 3️⃣ Prioritize automation-readiness. Processes that check all three boxes are candidates for automation or AI augmentation. The rest? They need human attention—clarity, documentation, and design—before technology can add value. 4️⃣ Evaluate impact. Apply classic filters: effort, cost, risk, and value. This helps you focus both where automation will make the biggest difference and where to focus documentation, governance, and standardization efforts for immature processes. Once you’ve logged your processes, patterns emerge. Your HR leaders will quickly see which processes are ready for AI and which require policy, process, or program development first. 🔁 The result: faster automation, less rework, and more trust in your data and decisions. 💬 How mature is your HR process inventory today—documented, in progress, or non-existent? #HRTransformation #AIinHR #ProcessDesign

If your internal processes aren’t clearly defined, custom software won’t fix the chaos - it will just automate the confusion. Companies know things aren’t running efficiently, but when dig deeper, here's what is happening: – Same processes vary from team to team – The same task is performed five different ways depending on who’s doing it – There’s no clear agreement on what “efficient” actually looks like In this environment, building custom software doesn’t solve the problem - it just locks in broken processes and makes future changes even harder. So what’s the solution? Standardize first. Automate second. Here’s a simple 3-step framework to help you prepare for custom software the right way: Step 1: Map Your Current Workflows Don’t aim for perfection, aim for visibility. Start by documenting/drawing how work is actually done today, even if it’s messy. This will reveal inconsistencies, redundancies, and gaps you might not even realize exist. Step 2: Identify the Inefficiencies Where are things slowing down? Look for repetitive manual tasks, excessive handoffs, duplicated data entry, and areas where spreadsheets are being used to “patch” broken systems. These are the bottlenecks that custom software should eventually solve. Step 3: Define the Ideal Future State Clarify what the standard process should look like moving forward. This doesn’t mean over-engineering every workflow. It means aligning teams around a clear, repeatable way of doing things. Once that’s in place, software can scale and support it. _____ Even though we build custom solutions, the truth is, custom software isn’t a magic fix. It’s a powerful tool to scale what’s already working but it can’t design your processes for you. If your team is struggling to stay aligned and operational headaches keep popping up, focus on process clarity first. Then invest in technology that will take your efficiency to the next level. #enterprisedevelopment #construction #processautomation

In every transformation conversation lately, I hear the same question: “What can we automate?” It’s the right ambition — but the wrong starting point. Because automation isn’t magic… it’s math. It’s process discipline. It’s data foundations. It’s operating model clarity. Before we ask what to automate, we need to ask: 1️⃣ Is the process stable? If the same workflow varies by team, region, or manager… AI will amplify that chaos, not fix it. 2️⃣ Is the data consistent? Automation built on inconsistent definitions is just accelerating rework at scale. 3️⃣ Are decision rights understood? If humans are unclear on who decides what, no model will solve that ambiguity. 4️⃣ Do we actually know the outcome we want? Automation without a measurable outcome becomes an experiment with no finish line. Here’s the truth we don’t say enough: AI doesn’t eliminate the need for fundamentals — it exposes who has them. Leaders who invest in clean processes, clear governance, and high-trust data will unlock automation ROI. Everyone else will just create elegant inefficiencies. The future isn’t “AI instead of people.” It’s people + AI… built on disciplined operations. What’s the one process in your organization you wish could be automated — but know the foundation isn’t ready for yet?

Don’t let AI fix what you haven’t defined…. Everyone’s buzzing right now about AI in the TMF world. You’’ve heard it. Automation. Predictive cleanup. Smart classification. All the shiny things. AI can only elevate a TMF that already has a SOLID foundation!!!!! If your processes are fuzzy, your ownership is unclear, or your study teams still debate versioning rules every other week… *Listen, AI ISN’T magic. It’s a magnifying glass. It reveals the gaps you haven’t addressed. 🎀TMF TUESDAY TIP for today🎀 Before adopting an AI tool, run a TMF “readiness check.” Ask yourself: -Do we have clear expectations for every contributor? -Are our naming conventions consistent? -Do we know what “right-first-time” actually looks like? -Is our QC cycle repeatable and documented? If the answer is no to any of these, fix that 1st! Your TMF doesn’t get better with technology. It gets better with clarity + discipline + technology. In that order. Start small. Tighten your process. Then let AI scale your success.