Dart: A versatile AI project management tool for agile teams

I think a AI driven SaaS software that would do this would just CRUSH it, if anyone wants to make one. A project management software like Monday, Wrike, Asana, etc. that takes a look at a final product, then starts to reverse engineer all the deliverables and components necessary to make the project complete, and figure out who was assigned to the project as well, then stick it all into gantt charts with a checkmark for each person's individualized tasks. It takes SO MUCH TIME to manually create a process that touches multiple hands, and there's always something missing in the check off list and these processes have to be reexamined every few months for efficiency and to fill in missing gaps, so if an AI could figure it all out and give you the full workflow, gantt chart, project management due dates, hand off tasks from one person to the next, etc., that would just crush it in the b2b space. If you make it, I'll be your beta tester and first customer!

AI and PM These two, two letter acronyms may be the most important skills needed in the next few years. There are again two aspects to this. AI in PM and PM for AI.Confusing? Let me explain. AI in Project Management: Not all software implementations need AI. Not all software needs AI. But a smart Project Manager must not only know how to manage projects well, but also how to integrate the right AI-powered PM tools for faster, more efficient delivery. There are several such tools in the market — Asana, Motion, KickUp, Wrike, Microsoft Project, Trello, and Jira. While the last three have annexed AI into their already brilliant feature sets, the first four are built as fully AI-powered platforms. Understanding the nuances of Project Management, applying environmental factors, knowing when to use which technique, and managing to appease every stakeholder involved is an art. The first step on any corporate ladder is to be a very good project manager. This is an established fact. And now, with AI tools simplifying and augmenting the role, it’s even more important that the plumber knows when and where to use their tools. Managing an AI Project: While AI in PM may apply to almost all projects (not just software), PM for AI is the real deal! What are the key steps of an AI project? How does it fit into a traditional SDLC? Or should it have a lifecycle of its own, something we may start calling AIDLC? The next wave in software process management might very well revolve around how to deal with AI projects! So, what are the stages of an AI Project? We start with: Scoping the problem Acquiring the needed data Exploring and preparing that data Modelling Evaluating, both the model and how the data behaves within it Does this sound complex? Watch out for my next paper on AIDLC where I’ll explain every stage of this lifecycle and give ample examples for all of you to understand. Keep your questions coming! #ProjectManagement #AIdvice #AIandPM

𝕊𝕠, 𝕨𝕙𝕒𝕥 𝕚𝕤 𝕥𝕙𝕖 𝕓𝕖𝕤𝕥 𝕡𝕣𝕠𝕛𝕖𝕔𝕥 𝕞𝕒𝕟𝕒𝕘𝕖𝕞𝕖𝕟𝕥 𝕥𝕠𝕠𝕝? 🤔 It’s the one that unites people and AI in a single collaboration platform — fully local, white-label, and built to scale. 🚀 Right now, that tool is clearly Bridge. 👉 Want to see how it works? Click the link in the first comment ⬇️

Project Management in the Age of Microsoft AI: From Manual to Magical In today’s fast-paced, data-saturated world, project managers need more than dashboards, they need foresight, agility, and intelligent automation. That’s where Microsoft-powered AI tools come in, not as replacements, but as strategic enablers. Here’s how I leverage Microsoft’s AI ecosystem to elevate project delivery and governance: 1. Copilot in Microsoft 365: Your AI PM Assistant From summarizing meetings in Teams to drafting stakeholder updates in Word, Copilot transforms raw data into actionable insights, reducing cognitive load and enhancing clarity. 2. Power BI + AI: Predictive Dashboards That Talk Back No more static reports. With AI-infused Power BI, I surface trends, detect anomalies, and forecast delivery risks, turning data into decisions in real time. 3. Planner + Project for the Web: Smart Scheduling AI helps auto-prioritize tasks, suggest dependencies, and flag resource constraints, making planning dynamic and adaptive. 4. Viva Insights: Human-Centric Productivity Project success isn’t just about deliverables, it’s about people. Viva uses AI to analyze collaboration patterns, helping PMs foster healthier, more productive teams. 5. Power Automate: Workflow Without the Work From auto-routing approvals to syncing updates across tools, AI-driven automation eliminates friction and boosts velocity. Best Practices for AI-Powered PM Excellence ✔️ Start with clarity: Define outcomes before automating tasks ✔️ Human + AI = synergy: Use AI to amplify—not replace—judgment ✔️ Govern with guardrails: Ensure ethical, secure use of AI across workflows ✔️ Upskill your team: AI fluency is the new PM competency ✔️ Visualize everything: Use tools like Whiteboard, Miro, and Lucid chart to align minds before aligning milestones The future of project management isn’t just digital, it’s intelligent, empathetic, and deeply human. Microsoft’s AI tools are helping us get there faster, smarter, and with purpose.

Over the last eight months, our Program Management team in Adobe Digital Experience Romania has started to evaluate multiple AI tools with a clear objective: reduce manual effort, improve clarity, and accelerate decision-making. Several solutions proved useful in isolated scenarios. The meaningful shift, however, came when our engineers started to use Cursor AI for developer productivity. So we, as Program Mangers, leaned in and integrated Cursor AI with MCP servers connected to our Wiki, Jira, GitHub and Slack. Bringing AI directly into our operating workflow has changed our day-to-day execution.   The impact is mind-blowing! Imagine writing a prompt in Cursor AI and: - Generate a status report that combines information from Jira, Wiki and makes recommendations with regards to risks and next steps - Generate Jira epics and stories based on a wiki page - Create a PowerPoint presentation based on a template and by gathering information from multiple sources - Assess the volume of work (story points) in Jira at program or feature level, to estimate a completion time and level of confidence - Perform a Jira audit and cleanup for a project with a large backlog   These are just some examples of what is possible by using these tools: increase productivity, reduce friction (no more copy pasting from different tools and documents), enhance decision-making, collaboration, and communication. This is a great incentive to have data hygiene - it is only possible if your Jira, Wiki and other sources are kept up-to-date.   This is not about replacing judgment. It’s about augmenting it. It’s about getting the busywork out of the way so we can lead. We can ask better questions. We can look across programs and actually see patterns. We can spend our energy where it truly matters: aligning teams, unblocking decisions, and moving the product development further.   Proud of my amazing team who leaned in, tested, debated, tried again 😊 Andreea Toma, Elena Vaetis, Georgeta Vlădescu - Viezure , Marius Duta, Ana-Maria Lazarescu, Ionela Dumitra Matei, Codruta Marinescu, Sever Apostu, Dianina Andrei, Marius Sirbu, Pavel Borta, PMP, MSP , Alina Balan and Stefan Simion

AI isn’t just changing project management software. It’s redefining how we plan, prioritize, and perform. Here’s what I’m seeing 👇 1️⃣ From tracking to thinking. Tools that analyze and advise, not just record. 2️⃣ From templates to copilots. Platforms that draft your next move before you do. 3️⃣ From data entry to data integrity. Where AI is only as strong as the data behind it. 4️⃣ From documentation to discovery. AI now surfaces insights buried in old project files, chats, and lessons learned. 5️⃣ From automation to augmentation. AI isn’t here to replace project managers. 6️⃣ From project views to portfolio foresight. Predictive analytics can now flag schedule risks, resource overloads, or budget drift before they hit. 7️⃣ From security as a checkbox to security as a dealbreaker. Trust now drives every AI purchase. I was recently cited in Gartner / Capterra's latest report on how AI and security are shaping project management software purchases in Canada. 🍁 If you’re exploring PM tools - or rethinking your current one - this is worth a read. ⚡ Link in the comments below. 👇 The next wave of PMOs won’t just deliver projects on time. They’ll deliver intelligence on demand.

🤖 What Are AI Agents in Project Management? (And Why Everyone’s Talking About Them) Imagine this: You walk into the office, sip your coffee ☕️ and your project updates, task dependencies, resource allocations, and risk reports are already done. No overnight hustle. No “status update” meetings. All handled by AI Agents. 🔍 So, what exactly are AI Agents? AI Agents are autonomous software entities that can think, act, and adapt almost like digital teammates. Unlike traditional automation tools (which only do what you tell them to do), AI Agents can: • Understand context (not just commands) • Learn patterns from past data • Make decisions in real time • And even collaborate with humans or other agents They don’t just automate, they manage intelligently. 🧠 Example: Meet Your New Digital Project Manager Let’s say you’re managing a $2M product rollout. An AI Agent could: ✅ Track sprint progress from Jira and send summaries to Slack ✅ Predict task delays using historical data ✅ Suggest optimal resource distribution ✅ Draft stakeholder updates automatically ✅ Flag potential budget overruns before they happen And the best part? It learns from every project. So, every week, it gets smarter than the last. 🚀 Why Project Managers Should Care AI Agents won’t replace PMs they’ll augment them. Imagine focusing on strategy, people, and outcomes while your AI Agents handle the noise. We’re entering an era where project success depends not just on process mastery, but on how smartly we use these digital teammates. Big names like Microsoft (Copilot), Notion AI, n8n AI Agents, and AutoGPT are already redefining how projects run. Soon, “AI-augmented PMs” will be the new industry gold standard. If you’re a Project Manager, PMO lead, or aspiring AI PM, 👉 start learning how to design, deploy, and collaborate with AI Agents now. Because in the next 2 years, those who master this won’t just manage projects they’ll lead the AI-driven revolution. 💬 I’m curious — Would you trust an AI Agent to manage part of your next project? Comment YES if you would, or NO if you still need more convincing. Let’s debate 👇

🚀 Shortcut Debuts Korey — The AI “Assistant” Project Manager Changing Product Management AI is officially stepping into the PM seat. Shortcut Software Co. has unveiled Korey, an AI project manager designed to orchestrate everything from idea to execution — turning concepts into structured, build-ready plans, developing detailed specs, tracking dependencies, and surfacing blockers in real time. 💡 What makes Korey stand out • Converts product ideas into actionable roadmaps • Auto-generates specs, goals, and acceptance criteria • Tracks progress and highlights blockers intelligently • Pulls live context from GitHub, tickets, and team communication • Learns continuously about how your organization operates • Integrates (soon) with Jira, Asana, Monday.com, Linear, Notion, Confluence, Zendesk, and Intercom According to CEO Kurt Schrader, Korey helps teams “focus on what matters most — the work — by automating the busywork of planning and tracking.” But here’s the important part 👇 For now, every decision still requires human sign-off. Korey isn’t replacing Product or Project Managers — it’s augmenting them. A co-pilot that learns, contextualizes, and executes — while humans remain the decision-makers. 📊 Early research from theCUBE shows that organizations embedding contextual intelligence into product workflows see up to 40% shorter planning cycles and are 2.3x more likely to deliver features on schedule. This is the next chapter of AI orchestration — where humans lead, and AI accelerates. 🔁 What do you think — could AI co-managers like Korey become standard in Agile teams within the next few years? #AI #ProductManagement #Agile #DigitalTransformation #Innovation #Shortcut #Korey #ProjectManagement Linked to Article: https://lnkd.in/er6eCUx9

AI is changing the way we manage projects—and not just the tools we use, but how we think about work. @Capterra’s 2025 Project Management Software Trends Report really hit home: 55% of businesses are investing in new PM tools to add AI functionality, yet 41% struggle to adopt these tools effectively. It’s a reminder that tech alone isn’t the answer. Teams need support, training, and time to adapt. I’m excited to see how this evolves, especially as AI continues to influence the shift in project management from task taker to a critical function driving business transformation. If you’re curious about where PM software is headed, this report is worth a read: https://bit.ly/47s6cub