Automation In Project Management

Most people are still using AI like a search engine. But as a Project Manager, I’ve started seeing it differently — as a project partner, not a chatbot. The real shift isn’t in asking better questions. It’s in building context and driving execution through AI. Here’s how that looks in practice: → Feed AI with real project context (goals, stakeholders, risks) → Make it break down scope, timelines, and dependencies → Use it to draft stakeholder communication & executive summaries → Stress-test plans by simulating pushbacks → Continuously refine execution instead of restarting from scratch What changes? ✔ Faster planning ✔ Better alignment across stakeholders ✔ More structured decision-making ✔ Less time spent on repetitive coordination But here’s the truth most people miss: AI won’t replace Project Managers. Because execution isn’t just about outputs — it’s about judgment, trade-offs, stakeholder alignment, and ownership. AI can accelerate the how. But the what and why still need strong PM thinking. The future PM isn’t the one who uses AI occasionally. It’s the one who builds systems around it to run projects end-to-end. Stop using AI for answers. Start using it to drive outcomes. #ProjectManagement #AI #Leadership #Execution #Productivity #FutureOfWork

The hardest part of automation isn’t starting small, it’s scaling thoughtfully. Many organisations fall into two traps: 1. Over-customising too early by building solutions so rigid that they can’t evolve. 2. Chasing complexity by adding layers of integration before the foundations are in place. The companies that succeed take a different path. They design for compatibility and modularity from day one. They think about how a simple sensor, chatbot, or AI workflow can connect to other systems in the future, even if today it runs stand-alone. We’ve seen this mindset make the difference. Projects that begin with focused automation, whether in healthcare, logistics, or finance become the foundation for scalable digital ecosystems. And because they’re built on open standards and flexible architecture, they grow as the business grows. For leaders, the lesson is clear: • Don’t just ask what can we automate today? Ask how do we ensure today’s solution doesn’t limit tomorrow’s potential? Automation is not about replacing people or rushing into complexity. It’s about creating the kind of infrastructure where both people and technology can do their best work, now and in the future. #Automation #Leadership #DigitalTransformation #smartData

Project 𝗥𝗘𝗪𝗢𝗥𝗞 ⤵️ 30-40%. 𝗡𝗢 new hires. 𝗡𝗢 new tools. Your team is talented...but your process may not be. Vague requests arrive ➔ Meetings get called to decode them ➔ Decisions stall ➔ REWORK follows ➔ The whole cycle repeats next sprint Nobody planned to waste the week. The workflow made them do it. Brian Galardo, PMP, PMI-CPMAI, PMO-BP, Program Manager and Ops Excellence at Salesforce, broke that loop using 3 things many teams already have. 1) a structured Slack intake form 2) a shared tracker 3) artificial intelligence (aka AI) Before any request touched someone’s calendar, it had to include the problem statement, impacted users, and urgency level. Then AI summarized the request, flagged missing context, surfaced risks, and suggested routing. Teams reviewed asynchronously. By the time everyone met, they weren't decoding the request; they were making decisions. The 𝗥𝗘𝗦𝗨𝗟𝗧? Review meetings were cut roughly in half. ✂️ 𝙍𝙀𝙒𝙊𝙍𝙆 𝙙𝙧𝙤𝙥𝙥𝙚𝙙 𝙗𝙮 𝙖𝙣 𝙚𝙨𝙩𝙞𝙢𝙖𝙩𝙚𝙙 30 𝙩𝙤 40%. Back-and-forth clarification decreased because expectations were clearer before work started. 𝗡𝗢 complex agent build. 𝗡𝗢 shiny new platform. 𝗡𝗢 “digital transformation” theater. Just a cleaner workflow. And that's the part most teams miss. Automation doesn't fix messy processes. It amplifies whatever is already there. Because if ownership is unclear, automation creates faster confusion. And if inputs are vague, automation creates faster rework. On the other hand, if the process is clear, automation creates speed, visibility, and momentum. So, before you automate anything, answer these questions — ► Who owns this? ► What does a good outcome look like? ► What information must arrive before work starts? Get these right and AI can handle the prep. Humans still make the calls though. And that's the real unlock. Remember...the best automation doesn't replace people. It protects judgment from admin work. Ok, over to you. 📌 What's one manual, repetitive workflow your team still runs every week that should've been automated by now? And why? #ProjectManagers #ArtificialIntelligence #Automation

Are you in advocacy or influence and still using static spreadsheets as a stakeholder map? If so, you need to change course. Now. Why? Because your spreadsheet won’t properly navigate the SMH that is 2025: • Medicaid cuts in the “Big, Beautiful Bill” • AI disrupting everything • Budget deficits and stock market volatility • Wars in the Middle East, Ukraine, elsewhere • Trade wars, tariff escalations, job cuts. • Free speech fights, antisemitism, and extremism • Inflation, immigration crackdowns, data security concerns These aren’t normal times folks. And your advocacy strategy can’t be either. A real stakeholder map in 2025 should work like a live operating system: updating constantly, filtering by issue, engagement level, and digital footprint. You must constantly watering the proverbial 🌼 🌹 🌺 to win. Here’s what that looks like: Stakeholder Type: Media, Hill staff, trade orgs, agency heads, donors, advocacy groups, coalitions. The usual suspects. Still essential, but just one part of the bigger picture. By Issue: Map your landscape around what actually matters now. Different issues = different allies. Period. If you’re not tracking stakeholders across industry specific flashpoints like AI, Medicaid, trade, immigration, or DEI, you’re flying blind. By Position: Ally, neutral, detractor; on this issue, at this moment. Nobody is “always with you” anymore unless they’re on payroll. And even then. Get real about this. By Influence + Interest: High influence, low interest? Your job is to make them care. Low influence, high interest? They can still amplify or derail you. By Engagement Level: 1 = Active 2 = Warm 3 = Cold but still meaningful. Track across both allies and critics. Where’s your team spending time and why? By Relationship Owner: Who owns the relationship? What’s the origin? What’s your backup plan if they ghost? Redundancy matters more than ever. By Digital Footprint: Your map should surface stakeholders with domain authority in policy, media, and increasingly, AI platforms. If the names on your list aren’t being cited, surfaced, or scraped into training data, you’re not influencing the future conversation in the way that people search and advocate. Static stakeholder lists are a liability. They don’t flex. They don’t prioritize. They definitely don’t win. Build something smarter today, because you’re either at the table or you’re on the menu. 💪 📰 ❤️ 🏛️

Stakeholders want two contradictory things: 1. To be heard 2. Not to be bothered Ask for input too early: “Why are you wasting my time with half-baked ideas?” Ask for input too late: “Why wasn't I consulted on this decision?” Share too many details: “Just tell me what I need to know.” Share too few details: “I can't make decisions without context.” Update too frequently: “Stop spamming me with updates.” Update too rarely: “Why am I hearing about this now?” The playbook says: “Communicate early and often! Build relationships! Over-communicate!” But the reality is that every stakeholder has a different threshold. What feels like good communication to one feels like noise to another. Senior execs want the BLUF (bottom line up front). Individual contributors want the full context. Cross-functional partners want the implications for their domain. There's no universal cadence. No perfect format. Just constant recalibration of who needs what, when, and why. The unspoken PM skill: Reading the room well enough to know when you're over-communicating vs under-communicating. And somehow, magically, adjusting for each person. While making it look effortless. Maybe that's why stakeholder management is exhausting. Not because it's hard to communicate. But because you're playing 12 different games simultaneously. #ProductManagement #StakeholderManagement #PMLife #CareerAdvice

💬 “Transformation is a matter of structure – not just vision.” I’ve seen many transformation initiatives in companies fail. Not because of bad intentions. Not because of lacking ideas. But because of missing structure. 👉 Clear roles. 👉 Aligned #governance. 👉 Coherent decision-making. 👉 Strategic prioritization. But let’s be honest: Before all that – there’s one thing most people underestimate. Stakeholder alignment. 🎯 One of the first steps in any major #transformation should be this: Clarify the mandate. What exactly do the key stakeholders want? What are their goals, agendas – officially and unofficially? Where are personal ambitions involved? Are there hidden tensions? Conflicting interests? I’ve led large-scale programs where strong leaders used transformation as a stage – for good or for ego. That’s not inherently bad. But if you don’t address it, it becomes a political trap instead of a strategic asset. And that’s why: #Stakeholder management is not only intuition. It’s structure. Mapping influence, positions, alliances. Identifying friction early. Designing engagement with intention. Not just once – but throughout the lifecycle of the program. 🚧 Transformation is not chaos. But it needs a structure that respects complexity and creates clarity. In my experience, sustainable transformation means: – Making complexity manageable. – Making collaboration intentional. – Making progress visible. 💡 So if transformation is more than a vision in your organization – ask yourself: What kind of #structure are you building around it? And: How well do you know your stakeholders? Curious to hear from others: How do you create clarity in politically complex transformation settings?

Most companies think stakeholder management is about getting buy-in. It's actually about changing predictions.   Years ago, I was helping a technology company with their organizational transformation. They had grown from a startup to several thousand people but were still operating like a startup. No real processes. No decision-making structures. Just running from one urgent need to another.   When I recommended new forms of governance, the resistance was immediate. And here's what made it complicated: each senior leader was resisting against a different, negative outcome as a result of the change.   For example, some believed that structure would slow them down and make them less nimble versus competitors. Others thought it would kill innovation. Some thought it would create bureaucracy by adding layers and layers of approvals to workflows. Many thought it meant they would lose the autonomy to run their business unit.   Here's what was really happening. Each person's brain was making different predictions based on their unique experience. These leaders could only predict problems because unstructured processes and systems were all they'd ever known. Their brains couldn't envision the benefits because they had no (or at least limited) experience with good structure.   Traditional stakeholder management would have grouped them as "senior leaders" and design one strategy for them all. But their concerns were entirely individual.   Changing predictions requires three things. First, understanding that each person's concerns are unique. No two brains make the same predictions. Second, getting people to try new approaches without perfect information. This takes direct, one-on-one conversations. Third, recognizing that predictions don't change overnight. It takes experience and repetition.   If the stakeholders in your company are resisting change understand that their brains are doing what brains do. They're predicting outcomes based on what they know.   The next time you build your stakeholder management approach remember it's not about treating everyone with the same title the same.   It's about engaging everyone, individually, where they are. Michael J Lopez Consulting #change #stakeholdermanagement

New Newsletter: AI in Project Management – Turning Early Planning into Smart Scenarios 🚀 The newsletter series „AI in Project Management“ with Christoph Schmiedinger Schmiedienger continues. After project preparation and the kick-off, it’s time for the next crucial step: Initial Planning & Scenario Development. This phase always starts with one key question: “How long will it take?” Managers need a budget forecast, teams need realistic timelines, and stakeholders want clarity. Yet, early plans often rely more on assumptions than facts, endless project sheets, PowerPoint roadmaps, and time lost in uncertainty. 💡 Here’s where AI changes the game. AI can act as your planning sparring partner: - Analyse requirements and team capacity - Create MVP scopes and high-level release plans - Identify critical paths, risks, and dependencies - Generate multiple time and budget scenarios Instead of spending weeks on manual drafts, AI can help you gain clarity within hours — and base your planning on data, not gut feeling. 🧩 In this fourth part of my newsletter series “AI in Project Management”, we explore: ✅ How AI can generate first planning scenarios ✅ Practical prompt examples to try immediately ✅ How teams can use AI to plan faster and smarter If you’re managing projects and want to see how AI can support early planning this one’s for you. 👉 Share in the comments: Do you use AI in your project management?

Digital transformation sounds exciting on slides. AI. Automation. Paperless. Everyone’s in a rush to “transform”. But the real work? It’s messy. I’ve seen projects stall halfway, budgets balloon or worse, teams quietly revert to old ways. Why? Because most digital transformation projects don’t start with clarity, they start with tools. Before you automate, digitise, or implement anything, untangle the mess first. Here are 5 things to do before you begin: ✅ 1. Map Reality, Not Assumptions Don’t rely on what managers think the process is. Follow the paperwork. Sit beside staff. Observe who’s emailing, printing, signing, chasing. Often, what’s in the SOP and what happens on the ground are two different worlds. Value tip: Do a shadowing session. Ask: “What’s slowing you down?” Not “What system do you want?” ✅ 2. Identify Invisible Dependencies Some approvals only happen over WhatsApp. Some people are unofficial gatekeepers. These aren’t in org charts, but they’ll derail your project if ignored. Value tip: Interview informal influencers. Understand who really moves things forward — or blocks them. ✅ 3. Decide What to Kill, Not Just What to Build Digital doesn’t mean copy-paste old ways into new tech. Don’t digitise junk. Clean it up. Kill redundant steps, outdated forms, duplicated approvals. Value tip: Run a “Keep / Kill / Automate” workshop with department heads. ✅ 4. Align the Pain With the People Transformation must solve real pain. Not just C-level goals. If end-users don’t feel the benefit, they’ll resist quietly or find shortcuts. Value tip: Prioritise based on frontline frustration. Not only what looks impressive in reports. ✅ 5. Commit to Iteration, Not Perfection Don’t spend a year building the perfect system. Go live with the 70% that works. Improve with feedback. Perfect kills momentum. Small wins build trust. Value tip: Pick one team or process. Prove it works. Then scale. . . . Digital transformation isn’t about software. It’s about unblocking humans. Start there, and your project won’t just go live. It’ll stick. Want help mapping or untangling your current workflow before you invest in tools? DM me. Let’s make the invisible visible.

How I manage stakeholders as a Project Manager without saying "no" Stakeholder management is one of the most underestimated skills in project delivery. And one of the trickiest parts is pushback. I’ve seen it time and time again: "Can we add this feature last minute?" "Can we deliver sooner?" "Can we skip UAT? "😅 Saying a direct “no” might feel assertive, but in many corporate environments, especially in matrixed organisations, it’s not always productive. It can cause friction, defensiveness, and damage relationships you need to maintain. So here is how I manage stakeholders without actually saying “no”: ✅ I reframe Instead of saying, "No, that’s out of scope," I say: "Let’s revisit the priorities and see where this fits in. If we bring this in, what are we okay to move out?” ✅ I ask questions Often people just want to feel heard. Instead of shutting down ideas, I ask: "What’s the driver behind this request?" "What would success look like if we included it?" This either de-escalates the urgency or helps me build a case for change. ✅ I make trade-offs visible I use timelines and impact visuals. "We can do that - here’s what happens if we do." Let the facts speak. Most reasonable stakeholders respond well to transparent data. ✅ I bring them into the process When stakeholders feel involved, they’re more likely to accept decisions, even tough ones. This approach helped me deliver projects on time while maintaining trust across business, tech, and delivery teams. Of course, sometimes you have to say “no”, but in most cases, it’s not what you say, it’s how you say it. Do you also navigate difficult stakeholder requests without being the “bad cop”? What strategies work for you? 👇