inRoot.io

Today's industry leaders are pinpointing the root cause of digital systems in under five minutes—more than half the time. We're on a mission to deliver that same breakthrough performance across your entire organization.

We're excited to announce that our Founder, Jim de Vries, will be speaking and serving as an Expert Panelist at the 2025 AIChE Spring Meeting & 21st Global Congress on Process Safety. ??? Panel Discussion: "Role of Artificial Intelligence and Machine Learning in Process Safety and Operations" ??? "Revolutionizing Production-Warehouse Operations with Integrated AI-Infused Digital Twins with AI-Vision: The Next Frontier Beyond Industry 4.0" Jim will be joined by industry leaders and our esteemed partners: ? Dr Irene A. Legiec, with sharp insights on leadership and process safety management: "Ensure Sustainable Solutions and Employee Engagement Using Root Cause Analysis" ? Aaron Parr (inRoot.io), presenting his AI Powered Online Collaboration Tool - "A Modernized Approach to Root Cause Analysis By Incorporating Large Language Models, Sentiment Analysis, and Automation" The EIG Team is honored and excited to explore cutting-edge strategies at the intersection of technology and process safety?with professionals across the industry! Joining us? Drop a comment below! #AIChESpring #ProcessSafety #Leadership #RootCauseAnalysis

?? Thank You, Promat 2025!?What an incredible week of innovation, inspiration, and connection. To everyone who stopped by?Booth S2527, shared a conversation, or asked the tough questions: thank you. Together, we’re building the future of logistics, one?Industry 5.0?breakthrough at a time. A huge shoutout to our amazing partners?CreateASoft, Inc., Arvist, and Atlantic Handling Systems?for bringing the vision to life. From?System Integration, Digital Twins?to?AI Vision Systems?and?Hyperautomation, it was a thrill to showcase how EIG partners' integrated solutions can transform facilities into agile, future-proof operations. Special thanks to industry leaders?John Cosgrove, Nilay Parikh, Hosni Adra and Nader Adra?for your energy, insights, and collaboration. You made this week unforgettable! Grateful for the conversations, connections, and opportunities. The future of supply chains is bright, and we’re excited to be part of it. Missed our demos??Drop us a message - we’d love to show you how we can help deliver ROI in as little as 3 months. #Promat2025 #Industry5 #SupplyChain #SmartManufacturing #Digitaltwin #AIvision

I'm incredibly honored and excited to share that I've been invited to speak at the 2025 AIChE Spring Meeting & 21st Global Congress on Process Safety! ?? Presentation: "A Modernized Approach to Root Cause Analysis By Incorporating Large Language Models, Sentiment Analysis, and Automation" ?? Session: Role of Leadership and Management in Process Safety ?? Date & Time: Wednesday, April 9, 2025 | 8:00 AM - 9:30 AM I'll be joined by industry leaders, including my esteemed colleagues Jim de Vries, who will serve as an expert panelist, and Irene A. Legiec, who will kick off our session with her deep insights on leadership and management in process safety. I look forward to diving into innovative strategies that bridge technology and process safety, and to sparking engaging conversations with professionals across the industry. Drop a comment below if you'll be there! #AIChESpring #ProcessSafety #Leadership #Innovation #Automation #RootCauseAnalysis AIChE - American Institute of Chemical Engineers

Individual brilliance can’t solve systemic problems. RCA succeeds when teams work together. But collaboration isn’t always easy: 1. Some voices dominate. 2. Others go unheard. 3. Decisions lean on hierarchy, not evidence. AI is the referee, ensuring every player contributes meaningfully. What’s one tip you’d give to make RCA more inclusive? Drop it below!

Fishbone diagrams are great—until they aren’t. Most teams treat them as the final answer. But a fishbone is only as good as the data and thinking behind it. That’s where AI comes in: validating connections, challenging assumptions, and helping facilitators avoid dead ends. We are working on building a feature that brings a new level of flexibility to building fishbone diagrams. It is capable of building out a fishbone with auto-complete suggestions for both the categories of the bones of the fish and building out 5 why branches. How do you ensure your RCA diagrams reflect reality, not assumptions? ??Drop me a DM if your team is interested in beta testing this new feature prior to launch! Limited seats available.

"AI is here to replace jobs." False. AI doesn’t replace facilitators; it enhances them. It handles the grunt work: data collection, bias detection, trend analysis. You stay focused on what you do best: guiding your team toward actionable solutions. What part of RCA would you love AI to take off your plate?

There’s a major competitive advantage to eliminating problems at their root causes.

North American ski resorts are facing unprecedented challenges. The recent La Ni?a pattern has already disrupted snowfall, impacting both operations and revenue. With unpredictable snowfall and shortened seasons—especially in high-risk areas like the Southwest and Northeast (even though this season has been remarkable for us in the Northeast)—the stakes are higher than ever when managing seasonal variability. Traditional methods for identifying and resolving operational issues often fall short. Lengthy investigations, siloed data, and fragmented insights can lead to recurring problems, lost revenue, and diminished customer satisfaction. In an era where every day counts, we need faster, more integrated approaches to uncover the root causes behind these challenges. How can we harness data-driven insights to not only adapt to but thrive amid the ever-changing conditions each season brings? I’d love to hear your thoughts and experiences on navigating these environmental factors that drive variability in our operations. ??Link to article: https://lnkd.in/ev9cxazm

When Teams Talk in Circles--Have you ever walked into an RCA meeting and thought, “We’ve had this conversation before…”? It happens when teams don’t break the cycle of surface-level analysis. Pre-work powered by AI helps your team arrive at the table focused and prepared. - Clear agenda? ? - Potential biases flagged? ? - Unproductive loops avoided? ? What’s your biggest challenge in getting a team to focus during RCA? Let me know below!