Vijit's Project Management Portal

In today's competitive business scene, keeping customers is essential for sustained growth. However, support teams face a challenge. They handle hundreds or thousands of tickets each day, but the signals that indicate customer churn are lost amid this noise. These signs become clear only after it’s too late. By the time a customer threatens to leave, the damage to the relationship is often done. That’s where EscalationAI changes the game, transforming your Zendesk support queue into an early warning system for churn risk. The Hidden Cost of Reactive Support Most support organizations react to issues only after customers escalate them. This approach causes them to miss crucial patterns. For example, a customer who submits their fourth ticket in 72 hours shows signs of a failing relationship. EscalationAI keeps track of ticket frequency over time, highlighting customers caught in frustrating cycles of unresolved issues. This built-up frustration is a strong predictor of churn, yet ag...

  I have always believed that technology should work for people, not the other way around. And yet, for years, the idea of building my own personal website felt like something reserved for people with coding skills. I had the content. I had the story. I had the experience. What I lacked was the technical know-how to put it all together on a screen. That changed recently. And the experience was something I feel compelled to write about, because I think a lot of people are in the same boat I was. Where It All Began I am a Project Manager and Customer Experience professional with over 22 years of experience. I have managed teams, led a team of Zendesk implementation consultants, managed 80+ client projects simultaneously, and built support systems from scratch. But ask me to code a website? That was not in my repertoire. I had been wanting a personal portfolio site at vijit.in for a while. Not just a plain page with bullet points, but something that actually looked professional. S...

Introduction Think of Artificial Intelligence (AI) as a quick and flexible digital team member that can read, write, summarize, plan, and brainstorm with you. It’s not magic; it’s software that learns patterns from large amounts of data and can generate helpful answers, drafts, and ideas when you need them. The “ Build Your Own AI in 30 Days ” playlist is meant to take you from “I’m curious, but this seems too technical” to “I can confidently use AI for my work and projects” through small daily steps. You don’t need to write code, know algorithms, or become a data expert; you just need to understand what AI can do, how to communicate with it, and how to integrate it into your daily tasks. Days 1–5: What Is AI and Where Does It Fit in Your Work? The first few videos answer a simple question: what is AI and where are you already using it, often without realizing? It provides everyday examples like email auto-complete, spam filters, recommendation systems, and language tools...

Artificial intelligence is no longer a futuristic concept. It’s a present  day reality reshaping industries, workflows, and careers. For project managers, AI offers a unique opportunity to move beyond traditional planning and execution into intelligent, data ‑ driven leadership. The good news? You don ’ t need a PhD in computer science to become proficient. With the right roadmap, a PM can start as an absolute beginner and evolve into a confident, AI ‑ savvy professional.   This guide walks you through a practical, step ‑ by ‑ step journey: from understanding what AI really means for project work, to building hands ‑ on skills, and finally to thinking like an AI ‑ enabled leader who can design, manage, and deliver AI ‑ infused projects.   Why AI Matters for Project Managers AI is transforming how projects are planned, monitored, and delivered. As a PM, your role is to deliver value, and AI can help you do that faster, cheaper, and with fewer surprises.   Here...

Prompt engineering is changing how project management professionals use AI to improve organization, communication, and decision-making. By crafting precise prompts, project managers can boost the efficiency and impact of AI-powered tools throughout the project lifecycle. What Is Prompt Engineering?    Prompt engineering is about creating clear, context-rich instructions for AI models, especially large language models (LLMs). A prompt serves as the input or command to an AI, asking it to produce a specific type of response, like summaries, plans, reports, or analyses. Good prompt engineering ensures AI outputs are relevant, accurate, and actionable. This skill is essential for anyone using AI-driven platforms. Why Prompt Engineering Matters in Project Management? Project management increasingly depends on AI integrations in tools like Asana, Jira, and ClickUp. Generative AI can help with planning, reporting, documentation, and communication. However, its value is maximized only...

AI is no longer just a futuristic idea in project management; it is now a strategic tool. Project managers are using AI solutions to automate boring, repetitive tasks. This change allows them to focus on more important work. As a result, workflows become more efficient, and decisions are made based on data. Key AI applications in project management include: Predictive Analytics: AI can look at large amounts of historical and real-time data to predict risks, project delays, and budget issues. This helps project managers solve problems before they escalate. Automated Task Management: AI tools can automatically assign tasks, send reminders, and update project status. This makes daily operations smoother. Resource Optimization: AI aids in allocating resources—both people and materials—by examining team workloads, skill sets, and project needs. Reporting and Insights: AI can quickly produce detailed reports and dashboards. This provides real-time visibility into important project metrics ...

  “AI won’t replace project managers. But project managers who use AI will replace those who don’t.” Let’s be honest: project management isn’t what it used to be and thank goodness for that. Gone are the days of endless spreadsheets, hours lost to status meetings, and manually chasing down updates. Today, AI is helping project managers get more done in less time, with fewer headaches and better results. If you’re wondering what AI actually looks like in a real project workflow (and how to make it work without overwhelming your team), you’re in the right place. 🔁 Before & After: How AI Changes the Game Here's a quick peek at how workflows look  before and after  AI comes into the picture: Task Before AI With AI Task Assignment You manually assign tasks and hope workloads are balanced AI analyzes workloads and skills, then auto-assigns for you Progress Tracking ...