Aki Antman’s Post

Feeling like your project management tools are stuck in the past? It's time for an upgrade. The next evolution is here: Agentic AI. These advanced tools don't just help you manage work—they autonomously execute it. The landscape is already rich with options: 🔹 Custom Frameworks: CrewAI 🔹 Enterprise Platforms: IBM Watsonx Orchestrate 🔹 AI-Integrated PM Software: Asana & ClickUp 🔹 Automation Giants: Zapier & UiPath 🔹 No-Code Builders: Taskade It's time to delegate to your new AI team members and focus on what truly matters. #DigitalTransformation #AgenticAI #AI #ProjectManagement #FutureOfWork #Tech #Automation

When developing an AI strategy, start with this question: 👉 What systems, apps, or tools are most important in your daily operations? Every business has a core stack: CRMs, ERPs, communication platforms, project management tools. These are where the work happens… and often where inefficiencies live. AI can unlock big wins by: ⚡ Automating handoffs between apps ⚡ Creating assistants that pull info across systems ⚡ Reducing manual updates and repetitive tasks ⚡ Making tools “talk to each other” By focusing on the systems your team already uses every day, you can drive adoption and impact faster, without reinventing your workflows. Which tools would you want AI to make smarter first? Read more: https://lnkd.in/e_pyi64s #AI #AIstrategy #AIforBusiness #Automation #FutureOfWork #BusinessGrowth

Architecting Enterprise GenAI: Why Micro-Agents + Orchestration Is the Scalable Strategy In enterprise IT, one of the fastest ways to stall a GenAI initiative is to build a single “do-it-all” agent. It quickly becomes brittle, opaque, and hard to govern. The smarter, safer path is micro-agents orchestrated into workflows. Each micro-agent handles a narrow responsibility, while an orchestration layer connects them to deliver business outcomes. Example: Project Management with GenAI 1️⃣ Context Agent – Holds business rules, project phases, approval gates 2️⃣ Jira Agent – Reads/writes issues, queries sprints, syncs with MCP server 3️⃣ Calendar Agent – Checks team availability, flags conflicts 4️⃣ Communication Agent – Drafts and sends updates via email or Slack or Teams 5️⃣ Orchestrator / Chatbot – The single interface for users; routes tasks, applies governance, and manages failures Employees interact only with the chatbot. Behind the scenes, specialized agents execute tasks with speed and precision. Why IT Leaders Should Care Reduced complexity → easier to deploy and maintain Governance & control → oversight, logging, and policy enforcement Resilience → orchestration handles errors, retries, rollbacks Scalability → new micro-agents can be added without re-engineering Enterprise alignment → mirrors microservices and workflow architectures we already trust Key Design Considerations Define agent boundaries clearly (avoid overlap) Ensure context/state is passed consistently Build observability and metrics from Day 0 Apply least-privilege access and audit trails Treat the orchestrator as your control plane The future of GenAI in the enterprise isn’t about one “super agent.” It’s about a coordinated ecosystem of intelligent micro-agents working with humans under governance. My fellow IT leaders: How far along is your organization in adopting agentic architectures? What’s the biggest barrier you see. Is it tools, governance, or skills? #GenAI #EnterpriseAI #ITLeadership #AIOrchestration #Retail #BusinessTransformation

Discover how AI is transforming project management and redefining work itself. Daniel Mackey, CEO of Teamwork.com, shares insights on AI as a productivity enabler, the future of SaaS, and the role of intelligent automation in service businesses. The report with insights from the interview launches October 3rd in The Global Tech Race: AI, Chips and Intelligent Infrastructure. Read it here: https://lnkd.in/d5__hrSh

My Cheat Sheet for AI Adoption & Workflow Automation in Project Management AI is no longer an upgrade—it’s the tectonic shift that will define which projects create the future and which get left behind. For leaders and PMOs aiming to move from pilots to enterprise-wide impact, here’s a concise yet commanding blueprint to build intelligence into every workflow. 1️⃣ Grasp the New Terrain Predictive foresight: Use historical and live data to forecast risks, costs, and delivery timelines before they derail you. Dynamic scheduling: Intelligent allocation that reshuffles resources the moment priorities shift. Generative & conversational agents: From project charters to stakeholder updates, LLMs now draft in seconds what once took hours. Workflow orchestration: Low-code and agentic AI platforms (e.g., n8n, LangChain) automate multi-step tasks across systems end-to-end. 2️⃣ Lay a Rock-Solid Foundation Data discipline: Audit and clean every feed—tickets, timesheets, risk logs—before feeding any model. Integration first: Map ERP, CRM, CI/CD and other key systems to avoid isolated AI pilots. Governance muscle: Codify privacy, bias checks, and audit trails so compliance never lags innovation. 3️⃣ Engineer Automation that Scales Agentic AI orchestration: Autonomous agents that watch events and trigger remediation without human chase. Hybrid human-AI loops: Automate routine approvals, keep strategic judgment calls human. Reusable blueprints: Standardize risk reviews, sprint retros, and client reports for plug-and-play scaling. 4️⃣ Pilot → Measure → Dominate Quick wins first: Automate high-volume, rule-driven tasks—status dashboards, recurring alerts—to prove value fast. Real metrics: Track cycle-time reduction, cost savings, and decision latency, not vanity numbers. Controlled expansion: Scale only after ROI is demonstrated and repeatable. 5️⃣ Shape a Culture that Keeps Up Upskill relentlessly: Make AI fluency and prompt engineering baseline skills for every project manager. Incentivize adoption: Reward teams that design and improve automated flows. Continuous feedback: Keep models sharp as project realities shift. 6️⃣ Leadership Imperative AI in project management is not optional. Treat it as a strategic capability, institutionalize governance, and hardwire automation into every phase of delivery. Those who hesitate will manage tasks; those who move now will manage the future. #AI #ProjectManagement #WorkflowAutomation #AgenticAI #PredictiveAnalytics #EnterpriseAI #DigitalTransformation #FutureOfWork #Leadership #Innovation

🌟 AI is no longer optional for Project & Product Managers — it’s a competitive edge. Whether it’s managing sprints, drafting PRDs, analyzing user behavior, or aligning stakeholders, AI is transforming how PMs & PdMs deliver impact. Here are the AI tools every PM & PdM should explore: 🔹 Project Managers: Motion, Asana AI, ClickUp AI, Wrike, Google Gemini, Forecast 🔹 Product Managers: ChatPRD, Pendo, Amplitude AI, Zeda.io, Otter.ai 🔹 Hybrid Powerhouses: Notion AI, Whimsical, Chisel 💡 These tools enable: ✔ Smarter planning & scheduling ✔ Automated status reports & follow-ups ✔ Data-driven prioritization ✔ Faster roadmaps & documentation 📌 The future belongs to PMs & PdMs who embrace AI as a copilot — not just as a tool, but as a strategic partner. ✨ Compiled and prepared by me as part of my deep dive into how AI empowers modern leaders in delivery and product strategy. #AI #ProjectManagement #ProductManagement #FutureOfWork #Leadership #AITools #GenerativeAI #TechInnovation #DigitalTransformation #BusinessTransformation

Automation promises speed, and scale, but without a clear understanding of the process you’re automating, it often delivers the opposite: confusion, and resistance. Too many teams jump into building workflows, bots, or integrations before truly understanding how work gets done, who’s involved, and what “done” really means. They automate the how before clarifying the what and why. When you automate a broken, inefficient, or poorly understood process, you don’t fix it, you accelerate the dysfunction. You embed bottlenecks, replicate unnecessary steps, and frustrate users who now have to work around a system that doesn’t match reality. Automation becomes part of the problem rather than the solution. The fix isn’t more technical skill or better tools, it’s stepping back and mapping the current state of your process. Not the ideal version, not the HR handbook version, but the real-world steps people actually follow. Where do they deviate? Where do they use workarounds? What takes longer than it should? Only when you see the process clearly can you simplify, streamline, and then automate. Process clarity isn’t a nice-to-have, it’s the foundation of automation that works. It aligns stakeholders, exposes hidden dependencies, and ensures that what you build actually makes people’s lives easier. Without it, you’re just building a faster mess. Start with clarity, not code. #AI #ServiceNow

Moveworks integrates AI automation with Asana, enabling intelligent task creation, project updates, and end-to-end workflow orchestration. Read the Latest Full News - https://lnkd.in/gzpGShsB #TechEdgeAI #TechEdge #Moveworks #Asana #WorkflowAutomation #EnterpriseAI #AgenticAI #TaskManagement #ProjectManagement #AIIntegration #DigitalWorkflows #AIProductivity #HybridWork #AIinBusiness

Curious to hear — how are you using AI in your daily workflow? 💡 Practical Tips for Project Managers Implementing AI 1️⃣ Select the Right Platform – For meeting intelligence and automation, proven options include: Fireflies.ai → Comprehensive transcription + automated task tracking Otter.ai → Real-time collaborative note-taking Grain → Captures and shares key meeting insights efficiently 2️⃣ Seamless Integration – Connect AI outputs with Jira, Asana, Trello, Slack, or MS Teams to ensure insights instantly convert into actionable tasks. 3️⃣ Adopt Incrementally – Start with AI-driven meeting notes and summaries. Once adoption grows, expand into predictive analytics, resource optimization, and risk forecasting. 4️⃣ Track ROI Metrics – Measure time saved per meeting, reduction in follow-up errors, and improved stakeholder alignment to validate business impact and scale further. ⚡ AI in Project Management is not just automation — it’s about driving precision, scalability, and strategic value across projects. #ArtificialIntelligence #ProjectManagement #DigitalTransformation #Agile #FutureOfWork #Leadership #Innovation #AIForPM #HR