Engineering Process Improvement Projects

Continuous improvement (CI) in organizations is only possible through developing CI competencies in people and teams!! It's clear that every business wants competent, capable employees who have the ability to streamline processes and swiftly adapt to process changes... BUT... ...despite recognizing the importance of CI, many organizations find themselves with a workforce unskilled in the practical, agile application of continuous improvement. There's a real disconnect! Why is this? 🤔 A few reasons.... 👉 It could be an issue with training vs real-world application. Often, employee training programs are heavy on theory but light on practical, hands-on experience. Employees understand the 'what' but struggle with the 'how.' Including leaders! 👉 It could be cultural resistance. People may not embrace adaptability and learning. That problem could be also caused by ineffective leadership! 👉 It could be lack of tools, resources or autonomy. Knowing what needs improvement is one thing; having the tools and authority to make changes is another. That's also something leaders influence! 🚨 So what's the call to action here? Leaders need support to develop themselves and they also need to understand the important role they play in developing CI competencies in every person. This involves: ✅ Hands-on Coaching and Learning. Shift from traditional "telling" to coaching on the job. Provide real-world problem solving opportunities, ask great questions and involve people in process management to develop critical thinking and problem-solving skills in every person. ✅ Cultivating a Psychologically Safe CI Culture. Foster an environment where every employee feels empowered and motivated to seek out and try out improvements, without fear of failure. Transparent and regular communication is key. ✅ Empowering people. Equip teams, not just with tools but also the authority to lead and implement changes. People are much more innovative and creative when they feel they are in control of their own work. When employees see their ideas come to life, it reinforces their capability and drive for continuous improvement. What else works to bridge the gaps in continuous improvement skills? Leave your suggestions in the comments below 🙏 #continuousimprovement #lean #agile #employeedevelopment #learninganddevelopment #leadership #skilldevelopment

I thought systems engineers were just glorified project managers. ↳ I assumed they were unnecessary overhead. ↳ I believed they only slowed down the development process. ↳ I was convinced our team could handle everything without them. Boy, was I wrong. Let me take you back to the project that changed my mind... We were developing a cutting-edge automotive safety system. Deadlines were looming, budgets were tight, and interdepartmental conflicts were rife. It was a perfect storm of chaos. Our VP suggested bringing in a systems engineer. I rolled my eyes. "Great," I thought. "Another 'expert' to tell us how to do our jobs." But here's what actually happened: 1. The systems engineer mapped out the entire project ecosystem. 2. Cross-functional communication improved dramatically. 3. Potential risks were identified and mitigated before they became issues. 4. Integration challenges were solved proactively. The result? We delivered the project 6 weeks early and 12% under budget. But don't just take my word for it. Let's look at some hard data: - A study by the International Council on Systems Engineering found that projects with effective systems engineering are 50% more likely to meet their objectives. - The National Defense Industrial Association reported that high-performing projects using systems engineering had a 57% success rate, compared to just 15% for those with low systems engineering capability. - NASA credits systems engineering for reducing their project failure rate from 1 in 4 to less than 1 in 100. The numbers don't lie. Systems engineers are the unsung heroes of complex projects. They're the glue that holds interdisciplinary teams together, the visionaries who see the big picture, and the problem-solvers who tackle challenges before they become showstoppers. My skepticism has transformed into advocacy. Now, I wouldn't dream of starting a complex project without a systems engineer on board. Have you had a similar experience? Did a systems engineer save your project from disaster? Share your stories below. Let's start a conversation about the hidden superpowers of systems engineering in the automotive industry. #SystemsEngineering #AutomotiveInnovation #ProjectSuccess #EngineeringLeadership

The best thing I ever did for my AI projects? I invited the biggest critics into the room. Sounds counterintuitive, right? Here's what I've learned across 200+ AI deployments: The skeptics, the curmudgeons, the people who question everything — they're not trying to kill your project. They're showing you exactly how to bulletproof it. But here's the catch: timing is everything. Bring them in too early (during brainstorming or exploration), and they'll suffocate momentum before ideas have room to develop. Bring them in too late (after you've committed resources), and their insights can't save you anymore. The sweet spot? Post-design. When you have a concrete solution that needs stress-testing. When the strategy is formed enough to withstand scrutiny but flexible enough to improve. That's when skeptics deliver maximum value. Here's how to make it work: Set expectations upfront. Tell your team you're deliberately bringing in critics to strengthen the project. Frame it as quality assurance, not a threat. Give them a clear job: Find every weakness. Surface every risk. Reveal organizational realities that need addressing. Document everything they say. Every objection becomes a blind spot you can now account for. The result? → Your plan becomes stronger. → Your strategy accounts for real resistance. → Your risk mitigation addresses actual organizational dynamics. Everything is already accounted for before implementation begins. The critics aren't sabotaging your AI initiative. You're sabotaging it by not leveraging them properly. What's been your experience with managing skeptics in transformation projects?

PROCESS AUDIT CHECKLIST (COMMON POINTS) IN MANUFACTURING SECTOR: 1. Process Control Are standard operating procedures (SOPs) available and followed? Is process capability (Cp, Cpk) monitored and within acceptable limits? Are control charts used for critical process parameters? Is there evidence of regular calibration of equipment and gauges? Are process changes documented and approved through change control? 2. Material Handling & Storage Are materials labeled correctly (name, batch, status)? Is FIFO (First-In-First-Out) or FEFO (First-Expiry-First-Out) followed? Are storage conditions (temp, humidity) monitored and maintained? Are rejected or non-conforming materials segregated and labeled? 3. Operator Competency & Safety Are operators trained and certified for the tasks they perform? Are safety PPEs being worn and used correctly? Are safety instructions and emergency procedures visible? Is there a system for reporting and investigating near-misses and incidents? 4. Equipment Management Is there a preventive maintenance schedule and is it being followed? Are breakdowns recorded and analyzed for recurrence? Are start-up and shutdown procedures standardized? Are critical spare parts available and tracked? 5. Quality Assurance Are in-process inspections conducted as per the control plan? Are inspection tools calibrated and used properly? Are quality issues tracked using root cause analysis tools (5 Why, Fishbone)? Are quality records complete and traceable? 6. Production & Planning Is actual vs planned production tracked? Are downtimes recorded with reasons? Is the takt time, cycle time, and lead time monitored? Are WIP levels controlled and visualized (kanban, signage)? 7. Waste Management & 5S Is workplace organization (5S) maintained? Are waste bins labeled and segregated? Are daily 5S audits conducted and actioned? Are there visible signs of lean practices (kaizen, visual boards, etc.)? 8. Tooling & Fixtures Are tools and fixtures stored properly with visual controls? Are they identified and logged for use and maintenance? Is there a system for tool calibration and wear tracking? 9. Documentation & Records Are process-related documents current and controlled? Are logs (production, quality, maintenance) filled accurately? Are version-controlled work instructions available at workstations? 10. Environmental & Regulatory Compliance Are emissions, effluents, and noise levels monitored and controlled? Is compliance with environmental regulations documented? Are MSDS (Material Safety Data Sheets) available and up-to-date?

🙈 “Risks in the Shadow of Change“ 🙉 The basic goal of Management of Change (MOC) is to determine the risks brought by changes to be made in a hazardous process in advance, to eliminate or minimize these risks and to ensure that the change is implemented safely and sustainably. This approach is of vital importance, especially in technical areas. Because even a small change can have major consequences; it can cause rupture, leak, fire or even a major industrial accident. Unfortunately, many change approvers make decisions by evaluating this process only on paper. It is a common mistake to approve without seeing the reflection of the change in the field and without making the necessary analyses and observations. This can ironically turn change management into a process that creates risks rather than reducing risks. MOC is not only a procedural approval process, but also a critical discipline that requires technical expertise, field experience and a multi-faceted evaluation. Therefore, it is essential to adopt a multidisciplinary approach, especially in technical changes. Different areas of expertise such as mechanics, electricity, chemistry, operator, automation, occupational health and environment should come together to make an evaluation. Many industrial accidents in the past have resulted from the implementation of changes without sufficient analysis. For example, a small design change made in a pipeline may not be able to withstand the system pressure and may eventually cause explosions. Similarly, a small error made in software updates may hide alarms of processes that will create risks in PLC or DCS systems. In order to prevent such results, the MOC process must be supported by field observation, engineering calculations, and function tests. Although analyses on paper provide some basic insights, they cannot always reflect the complexity of real conditions. Therefore, conducting onsite inspections, interviewing employees, and observing the physical condition of equipment are critical steps. It should not be forgotten that change inherently involves uncertainty. This uncertainty can only be managed through a planned, systematic, and participatory MOC. It is necessary not only to analyze risks, but also to be prepared for these risks, to provide transparency in processes, and to create systems that can reverse change when necessary. Creating an effective MOC not only prevents accidents, but also paves the way for continuous improvement and innovation. Therefore, it is a critical requirement for change management practitioners to have field awareness as well as technical knowledge. #oil #gas #LPG #refinery #process #safety #learning #engineering #MOC #managementofchange #risks #riskassessment #terminal #safeoperation #safechange #LNG #oilandgas #evaluation.

Are you just shipping features, or are you driving real business impact? It’s easy to fall into the feature factory trap. For many teams, shipping new features equals progress. But the truth is that it often leaves them spinning their wheels without real momentum. When we focus only on release counts, we miss the bigger picture: solving actual user problems and pushing business goals forward. Success in product isn’t about how much you deliver. It’s about what changes because of what you delivered. That’s why product managers should lead teams to ask "why" at every step, making sure their work aligns with strategic goals. This shift from output to outcomes is crucial for escaping the build trap and creating meaningful impact. To break the cycle, product teams need to lead with strategy: ✅Ask why before building ✅Align work to real outcomes ✅Use feedback to iterate ✅Connect product decisions to business results That’s how you escape the build trap and build things that actually matter. So, what’s driving your roadmap right now: output or outcomes? Let me know in the comments.

One question turns failed PropTech pitches into closed deals. And most vendors never ask it. Here's the strategy alignment secret nobody's talking about. Last week, I watched another great product get rejected. Strong features. Clear value prop. But they pitched long-term efficiency to a merchant builder focused on exit value. Now they're wondering why the deal went nowhere. Here's how to align your pitch with their investment strategy: 1. Focus on strategy, not just asset type The secret isn't just knowing office from multifamily. It's understanding their investment timeline: Most vendors only see: • Office vs. retail • Multifamily vs. industrial • Class A vs. Class B Smart sellers also ask: • Hold period length • Exit strategy • Value creation timeline • Cash flow priorities Most fail because they stop at asset class. 2. Tailor your pitch to their timeline For long-term holders, focus on: • Operational efficiency • NOI improvement • Portfolio-wide impact • Solution stability • Compound ROI over time For short-term players, emphasize: • Repositioning acceleration • Lease-up support • Quick implementation • Flexible contract terms The timeline mismatch breaks more deals than price. 3. Ask the right questions first Start with: • "What's your typical hold period?" • "Are you looking to stabilize and hold or exit?" • "How do you handle property management?" • "What's your current solution stack?" Not: • "What types of properties do you own?" • "How many units do you have?" • "What systems are you using now?" • "When can we demo our product?" 4. Connect your value to their strategy Your pitch should show: • ROI within their ownership window • Value that matters to their strategy • Implementation that fits their timeline • Flexibility that matches their exit plans Never assume: • All owners want long-term savings • All GPs prioritize NOI • All buildings are forever holds • All operators think the same 5. Become a strategic partner Investment strategy changes everything: • It shapes their decision criteria • It determines their value metrics • It drives their timeline needs • It defines their success The difference between just another vendor and a strategic partner is understanding their investment strategy. Want to learn how the best PropTech companies align their pitches to investment strategies? Check out our free PropTech Pipeline Playbook email course in the comments.

Hyperautomation has emerged as a game-changer in the technological landscape, changing how businesses streamline operations, reduce costs, and enhance efficiency. By combining AI, ML, and robotic process automation (RPA), it transformed industries. Gone are the days when automation was limited to assembly lines or customer service bots. Hyperautomation transforms everything — from crunching financial data to streamlining inventory management — into a unified, efficient digital ecosystem. For instance: ▶️ In warehouses, IoT devices monitor inventory and trigger restocking before shelves go empty ▶️ Financial tools like RPA bots process invoices while AI forecasts cash flow trends ▶️ ML algorithms pinpoint supply chain inefficiencies and suggest actionable fixes The result? A seamless, real-time operational flow that saves time, money, and resources. Gartner projects that by 2026, 30% of enterprises will automate more than half of their network activities- up from under 10% in 2023. In finance, AI algorithms detect fraudulent transactions faster than human analysts, while RPA tools manage expenses and generate reports in seconds. Customer service chatbots powered by natural language processing (NLP) handle routine queries, leaving human agents free to focus on high-stakes issues. In manufacturing, predictive maintenance minimizes costly machine downtime by identifying potential issues before they arise. AI-powered quality control systems catch product defects that human eyes might miss, while workflow automation optimizes resource allocation. In the ever-complex supply chain, hyperautomation ensures real-time responsiveness. AI systems analyze traffic and weather to optimize delivery routes, while IoT devices keep stock levels in check. The result? Faster deliveries, fewer errors, and significant cost savings. While the potential of hyperautomation is undeniable, it raises questions about its impact on human labor. Repetitive, low-skill jobs are at the highest risk of being replaced. But, this shift also opens doors for workers to upskill to manage and optimize these systems, focusing on creative and strategic tasks instead of mundane ones. The narrative shouldn’t be “man versus machine” but “man with machine.”  Valued at $45 billion in 2024, the hyperautomation market is projected to exceed $307 billion by 2037. Its future lies in driving sustainability, enabling hyper-personalized experiences, and achieving seamless end-to-end automation. As businesses continue to embrace this technology, it’s vital to maintain a human-centric approach: prioritizing ethical considerations, data privacy, and workforce training. The real question is: How will we harness its potential? #technology #AI #automation #innovation #business

"We don't have a strategy problem." A CTO said this to me in our first meeting. Confident. Certain. Almost dismissive. Fifteen minutes later, I asked their leadership team one simple question: "What are your top three priorities for the next 12 months?" Eight technology leaders. Eight different answers. 😬 That's a strategy problem. Here's what I've learned after 25 years of working with leadership teams across some of the world's biggest organisations: it's rarely the strategy itself that's broken. It's the alignment around it. Most leadership teams I work with have a strategy. They often have a really good one. What they don't have is a shared understanding of what it actually means for how they prioritise, make trade-offs and allocate their teams' capacity day to day. Instead, they've got a 47-slide deck that took three months to build, got presented once at the leadership town hall, and now lives in a SharePoint folder gathering digital dust. Meanwhile one team is all-in on platform modernisation, another is prioritising AI initiatives, and a third is still firefighting technical debt that was supposed to be sorted last year. Every leader has quietly created their own interpretation of what matters most. And their teams are executing against different versions of "the plan." When I run strategic offsites with leadership teams, one of the first things we do is strip everything back. If your strategy can't be articulated in a conversation and clearly represented on one page (and without size 4 font...) then it's not a strategy. It's a document. The magic happens when a leadership team gets in a room together and gets really honest about what's actually delivering value, what's become a pet project, and where they're spreading their people too thin across too many competing priorities. That's when real alignment clicks into place. The best technology strategies I've seen aren't the most sophisticated. They're the ones where every leader on the team could explain them to you in the lift between floors - and their teams' workload actually reflect it. So here's a quick test: ask each of your direct reports to independently write down the team's top three priorities for the next quarter. If you get the same answers back, you're in great shape. If you don't? That's not a failure - that's your starting point. 💡 What's been your experience - does your leadership team genuinely share the same priorities?

A very hard pill to swallow to quite a few organizations: Business Process Automation does not equal Business Process Improvement. These are two different disciplines, and automation may be one of the steps/tools in the overall process improvement initiative. But automating a process does not improve it by default. In fact, automation must be done after the process has already been reviewed and already improved. Otherwise, the automation initiative will most likely fail to achieve its goals because: 📌 It is more time-consuming to automate an inefficient process, meaning it will take longer to implement a solution 📌 The more effort needed means it is also more expensive, effectively leading to lower (if any) ROI 📌 Automating inefficient processes AS-IS results in inefficient solutions that run slower and require more support, effectively boosting the total cost of ownership exponentially To put it simply: 💩 in ➡️ 💩 out. A review of the process before attempting to automate might save lots of time and money, even if it means an extra step and some extra investment up front. It will most likely lead to a better solution design that will be easier (and thus cheaper) to implement and maintain. In some scenarios, it may even lead to a case where the process becomes so efficient that further automation isn't even needed. It has happened to us in the past on numerous occasions. It may seem counterproductive for me to tell my clients to not automate something, effectively losing the income we could have gained from delivering the solution. But what it actually lead to was happier clients that would keep coming back for more and eventually showing up with a process that both is efficient and actually makes sense to automate. So, whenever considering automation, make sure that you review and improve the process first, and then automate. Not the other way around. And if you don't know how to, find someone who can help you and does not simply suggest automating AS-IS (that's usually a huge red flag).