Multichannel Customer Support Systems

At Rackspace, we reduced IT ticket volume by 70% without adding headcount. By integrating an AI coworker directly into Microsoft Teams, it now automates 500+ tickets end-to-end each month. AI works best when employees don’t have to change how they work. So our team built an AI coworker for IT (RITA) that doesn’t need a new portal or separate interface. By running inside Microsoft Teams, an app Rackers use every day, RITA fits naturally into existing workflows. Employees don’t need to switch tools or change how they work, which drives widespread adoption. Beyond answering questions, RITA executes workflows in real time and handles device provisioning, account lockouts, and everyday software issues. It completes the work, not just the request, which lets IT teams spend less time on triage and more time on higher-value work. As a result, we see a widening gap in the market. Teams that treat AI as a tool stay stuck in pilots, while teams that design AI as a participant in operations scale faster. After running RITA inside Rackspace and refining it in production, we deploy it for other IT teams that want to scale without adding headcount. Happy to start a conversation via LinkedIn DMs if this is something you’re actively working on. And if helpful, we’ve written up how this approach played out alongside three other agentic AI solutions we deployed at Rackspace Technology. The link is here: https://bit.ly/4q177Ii.

Management Information Systems (MIS) reporting is undergoing a transformation, driven by new technologies and evolving business needs. As organizations continue to navigate increasingly complex environments, the demand for more efficient, insightful, and accessible reporting has never been greater. The future of MIS reporting lies in leveraging these advancements to create smarter, more personalized, and faster insights. 𝐻𝑒𝑟𝑒 𝑎𝑟𝑒 𝑡ℎ𝑒 𝑡𝑜𝑝 𝑡𝑟𝑒𝑛𝑑𝑠 𝑠ℎ𝑎𝑝𝑖𝑛𝑔 𝑡ℎ𝑒 𝑓𝑢𝑡𝑢𝑟𝑒 𝑜𝑓 𝑀𝐼𝑆 𝑟𝑒𝑝𝑜𝑟𝑡𝑖𝑛𝑔:  Real-Time Reporting: Gone are the days of waiting for weekly or monthly reports. Real-time reporting allows businesses to access immediate insights, enabling faster decision-making and helping teams react to market changes or internal challenges without delay. Advanced Analytics Integration: With the power of Artificial Intelligence (AI) and Machine Learning (ML), MIS reporting will move beyond basic data presentation. These tools will help in predictive analysis, trend identification, and deeper data interpretation, turning raw numbers into actionable insights. Interactive Dashboards: The future of reporting is interactive. User-friendly dashboards allow for deeper analysis with the ability to drill down into specific metrics. This empowers users to explore data on their terms and uncover insights that may not be immediately visible in static reports. Cloud-Based Solutions: Cloud technology offers greater flexibility and accessibility. With cloud-based reporting, teams can access reports from anywhere, enabling enhanced collaboration, real-time updates, and seamless integration with other business systems. Increased Personalization: As businesses become more focused on specific goals, tailored reports will be crucial. Instead of generic templates, reports will be customized to meet the unique needs of different roles and departments, ensuring that relevant insights are delivered to the right people at the right time. The future of MIS reporting is an exciting one, driven by advancements in technology that promise to make reporting more agile, insightful, and responsive. For organizations that embrace these trends, the ability to make data-driven decisions faster and more effectively will be a competitive advantage. What trends do you think will have the biggest impact on MIS reporting in the next 5 years? Share your thoughts in the comments! #MISReporting #AdvancedAnalytics #DataDrivenDecisionsMaking #InteractiveDashboards

Ever feel like your team is drowning in tickets, with response times so slow you start to dread opening your inbox? That was us. Our old IT Service Management tool just wasn't cutting it. It was a black box, really. No real insight into what was actually *happening* business-wise, or how incidents were connected. So, lots of manual digging, endless escalations, and honestly, a lot of frustrated users. We knew something had to change. We’d spend hours trying to piece together trends or link current problems to past ones, and it felt like we were always playing catch-up. So, we gathered everyone. Business folks, internal teams, you name it. We really dug into what was missing and what was actually needed on the ground. Then, we worked with engineering to build it out. Lots of back and forth, tweaking workflows based on early feedback. It wasn't exactly a smooth ride, but we kept pushing. The goal was a single pane of glass. A place where you could see the whole story of an issue, its history, how it related to other things, and automated assignments and escalations. And you know what? It actually worked. We launched a unified system for our global users. The results surprised even us. Ticket response times dropped by 60%. Our customer satisfaction scores jumped 50%. And escalations? Down by a whopping 90%. It’s amazing what happens when you actually have the data and visibility to make informed decisions, instead of just reacting. Anyone else ever been in a similar boat with their tools? What’s your biggest challenge with current systems? I’d love to hear your experiences. #ITSM #DigitalTransformation #CustomerExperience #ServiceManagement #ProblemSolving

Effective Financial Reporting: Best Practices and Strategies for Clarity and Compliance As a seasoned CFO with over 34 years of experience, I've a good understanding of the impact of robust financial reporting. My latest e-book delves into the best practices and strategies for achieving clarity and compliance in financial reporting. Here are three key insights from the book: 1️⃣ Leveraging Automation Embrace automation to reduce human error and enhance efficiency. Implementing financial software and continuous monitoring can streamline data collection and report generation, ensuring accuracy and timeliness. 2️⃣ Advanced Reporting Techniques Explore integrated reporting by combining financial and non-financial data for a holistic view. Utilize predictive analytics to forecast future trends and improve decision-making, and enhance report readability with dashboard and visualization tools. 3️⃣ Addressing Common Reporting Challenges Tackle complex transactions such as mergers and acquisitions by conducting thorough due diligence and ensuring accurate purchase price allocation. Implement effective strategies for managing foreign currency transactions and adapting to evolving revenue recognition standards. Effective financial reporting is not just about compliance; it's a strategic tool that drives informed decision-making and builds stakeholder trust. By adopting these practices, you can elevate the quality and reliability of your financial reports. ♻ If you found this useful, please share! #FinancialReporting #CFOInsights #FinancialManagement =============================================== 🔔 My name is Syed Irfan 📣 I am Fractional CFO and Coach & Mentor to C-suite 📕 I write about Strategy, SME Financial Management and M&A

💡Mastering Advanced Reporting in TestNG — Extent Reports + Listeners + Retry Analyzer When working on automation frameworks, reporting and stability are as important as writing tests themselves. Recently, I implemented an integrated setup combining Extent Reports, TestNG Listeners, and a Retry Analyzer to enhance my Selenium Test Framework. 🔍 What It Is • Extent Reports: A rich reporting library for TestNG that gives visually appealing HTML reports. • Listener: A TestNG interface that listens to the test execution lifecycle (start, success, failure, skip, etc.) and performs actions automatically based on the event. • Retry Analyzer: A utility that re-runs failed test cases automatically, helping to handle flaky tests. 🧠 What I Implemented • Added Extent Reports for real-time logging and beautiful HTML output. • Configured a TestNG Listener to: • Log each test start, pass, and failure. • Capture screenshots automatically when a test fails. • Attach those screenshots to the Extent Report dynamically. • Integrated a Retry Analyzer to retry failed tests once (helpful when network or UI lag causes temporary issues). 💡 Why This Matters • In automation testing, it’s not just about running tests — it’s about knowing what happened, when, and why. • A listener makes the framework event-driven and less manual. • Extent Reports turn raw logs into clear, shareable insights for teams and management. • Retry Analyzer ensures test reliability by handling intermittent failures automatically. ⚙️ Use Case I implemented this setup in my Selenium WebDriver + TestNG framework. Now, whenever a test fails: • A screenshot is automatically captured 📸 • The failure reason and screenshot are added to the Extent HTML report • The failed test retries once before being marked as failed 🔁 • This helps in identifying UI issues, network delays, or flaky test behaviors quickly. 🧩 Takeaway With these three utilities combined: • Your automation framework becomes self-healing, insightful, and professional. • Debugging becomes faster. • Reporting becomes more transparent and team-friendly. 🔗Practice Site: https://lnkd.in/gh78Mn3s 🔗 GitHub Portfolio: https://lnkd.in/g8gSTY74 🔗 Follow my journey: https://lnkd.in/gnRkgH8v #AutomationTesting #SeleniumWebDriver #TestNG #ExtentReports #SoftwareTesting  #QAAutomation #QualityAssurance #TestingFramework #JavaAutomation #RetryAnalyzer  #TestAutomationFramework #ListenersInTestNG #AutomationEngineer #QALife  #BugHunters #CleanCode #TestingCommunity #WebAutomation #CodingForQA

🚫🎟 The Hardest Problem in Ticket Booking Systems: “How do you STOP two people from booking the SAME seat?” Every engineer thinks scaling is the hard part. But THIS is the real nightmare in ticketing systems: 👤 User A clicks Seat A12 👤 User B clicks Seat A12 ⏱ Both click within the same millisecond 💳 Both proceed to payment 🔥 Who wins? 😱 And how do you guarantee the other user doesn’t get charged for a seat that’s already gone? This is where system design meets real-world chaos. Here’s the deep dive most interviews never explain 👇 🔥 1. The Root Problem: Concurrent Writes on a Single Hot Object When millions of users hit the same concert/movie/flight seat: • Caches won’t save you • Sharding won’t save you • Load balancers won’t save you Because they all distribute traffic horizontally… …but the seat is a single vertical bottleneck. Your entire system must guarantee: “Only ONE successful write for this seat — EVER.” This is where advanced concurrency strategies come in. 🧵 2. Pessimistic Locking — Safe but Slow Use only for small capacity events. When User A selects a seat: 🔒 Lock seat row → Nobody can touch it until User A finishes. ✔️ Double-booking impossible ❌ But performance collapses at high scale ❌ Locks can pile up → cascading latency spikes This is why airlines and ticket giants avoid this for massive events. ⚡ 3. Optimistic Concurrency Control — The High-Scale Weapon Here’s the trick: We let everyone try booking the same seat, but only one update succeeds. Every seat has a version number: UPDATE seats SET status="BOOKED", version=8 WHERE seat_id=123 AND version=7 If version changed → Someone beat you. This gives: ✔️ Zero collisions ✔️ Near-infinite scale ✔️ No distributed locks needed This method alone powers many global e-commerce systems. ⏳ 4. Temporary Seat Holds: The Real Industry Standard Ticketmaster, BookMyShow, airlines — they all use THIS: When user selects a seat: 1️⃣ Create a temporary hold in DB/Redis 2️⃣ Hold expires in 2–5 minutes 3️⃣ Only after successful payment → convert to booking 4️⃣ If payment fails or user disappears → release hold Advantages: ✔️ Best UX ✔️ Avoids over-selling ✔️ Reduces concurrency at final booking stage ✔️ Supports countdown timers → users feel urgency This is the most production-ready strategy. 🟥 5. Distributed Locking (Redis Redlock) Used when traffic is extremely bursty. User A selects seat → System creates a lock in Redis User B tries same seat → Lock denies it If lock holder dies → Automatic expiry saves you ✔️ Prevents race conditions ✔️ Works great in autoscaling environments ❌ Needs careful tuning to avoid deadlocks & false positives 📦 6. Queueing the Final Booking Operation This is the bulletproof architecture. Even if 50 users select the same seat at the same time: 👉 All final booking requests enter a FIFO queue 👉 Queue processes one at a time 👉 Only first write is accepted 👉 Others get “Seat Unavailable” response

Busywork in engineering is dying. Control isn’t. A few months ago, structuring requirements meant days of manual effort. Thousands of lines. Endless clustering. Clicking through tools just to keep traceability intact. Everyone accepted it as “part of the job” Until now. In a recent experiment, unstructured requirements for a simple system - a windshield wiper - were turned into a fully structured requirement and ticket structure within minutes. No manual modeling. No clicking through tools. No chasing traceability. Here’s what happened behind the scenes: 1. Raw requirements were written in Cursor IDE 2. Passed to Claude Opus 4.6 for structuring 3. Converted into a ReqIF-based hierarchical model 4. Imported into Codebeamer, a PTC Technology 5. Call of Atlassian MCP server to trigger ticket creation 6. Automatically transformed into 140 structured tickets in Jira (initiatives, epics, user stories) including test cases, relationships and full traceability What used to take days now happens in minutes. No-touch engineering is no longer a concept. It’s working. Here’s the core shift: AI is not replacing engineering. It’s replacing everything around engineering. The real value was never in formatting requirements or creating tickets. It was always in thinking, deciding and designing. The takeaway: - Stop optimizing manual workflows - Start automating the operational layer completely - Focus engineering time on decisions, not documentation - Treat structure as something AI generates, not engineers maintain The engineers who win won’t be the fastest clickers. They’ll be the ones who design systems where clicking is obsolete. So here’s the real question: What part of your engineering workflow are you still doing manually even though it shouldn’t exist anymore? Vlad Larichev | Dr. Pascalis Trentsios | Sebastian Linzmair | Timmo Sturm | Nitin Ugale

Advanced, Matrix, Composite...3 report types that quietly separate ₹10L consultants from ₹40L consultants. Most Workday folks know how to build a report. Very few know which report type to pick for a business use case. That’s where the gap (and the money) is. 1️⃣ Advanced Reports...your 90% workhorse ->Advanced = “Give me a clean, filtered list from one world of data.” Think: -All workers with hire date, tenure, last job change -Current headcount by Supervisory Org -Employees on leave with leave type + manager Patterns you see senior consultants use: -One primary business object (Workers, Positions, Events) -Smart prompts and filters (as of dates, supervisory orgs, locations) -Grouping + subtotals instead of dumping to Excel -Reusing the same Advanced report for: audits, integrations, EIBs, dashboards If the question can be answered from one table and some filters, a workday professional should always ask: “Why am I not using an Advanced report for this?” 2️⃣ Matrix Reports...real-time pivot tables for HR ->Matrix = “I want a pivot table inside Workday, not in Excel.” Perfect for headcount & turnover style questions like: -Headcount by Department (rows) x Quarter (columns) -Terminations by Reason x Supervisory Org -DEI mix by Gender x Job Level This is where real analytics starts: -HR leaders see trends in one glance -Click any cell to drill to the people behind the number -Charts layered on top for dashboards (no export → pivot → paste) Junior consultants build a detailed list, export to Excel, and pivot. Senior consultants ask: "Is this a Matrix?” and keep the truth inside Workday. 3️⃣ Composite Reports...the 10% power tool ->Composite = “I need multiple reports to talk to each other in one story.” Core HCM example: Turnover with context You want, in one view: -Average headcount by quarter -Terminations by quarter -Turnover % -Maybe span of control or DEI for each org How a ₹40L consultant thinks: -Sub-report A: Headcount trend (Matrix / Trending) -Sub-report B: Terminations trend (Matrix) -Composite: Align by period + org, calculate Turnover % at the composite level Same pattern for: -HR scorecards (headcount, hires, terms, internal moves, absence) -HCM + Finance views (FTE vs budget vs cost center) -Leadership packs that used to live in 12 messy Excel files Composite isn’t fancy stuff for architects. It’s how you build decision-ready stories instead of isolated reports. 4️⃣ Where AI fits into all this ->AI will help: -Suggest fields -Build draft charts -Answer “Show turnover by region” in plain English But AI won’t decide: -Is this a list (Advanced)? -Is this a pivot (Matrix)? -Is this a narrative with 4–5 metrics (Composite)? That judgment is the difference between a fresher and a senior consultant Mastering Advanced, Matrix, Composite isn’t just reporting. It’s moving from report builder to Workday insight architect.

🔥 𝗪𝗲 𝗖𝘂𝘁 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗧𝗶𝗺𝗲 𝗳𝗿𝗼𝗺 𝟰 𝗛𝗼𝘂𝗿𝘀 𝘁𝗼 𝟰𝟳 𝗦𝗲𝗰𝗼𝗻𝗱𝘀 𝗨𝘀𝗶𝗻𝗴 𝗧𝗵𝗶𝘀 𝗡𝟴𝗡 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 Most SaaS companies are drowning in support tickets. We automated ours with AI. 𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗲𝘅𝗮𝗰𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄: → 𝗚𝗺𝗮𝗶𝗹 𝗧𝗿𝗶𝗴𝗴𝗲𝗿 captures support emails instantly → 𝗚𝗲𝗺𝗶𝗻𝗶 𝗧𝗲𝘅𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗲𝗿 categorizes by urgency + intent (refund/bug/feature) → 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 orchestrates the decision logic with memory and context awareness → 𝗣𝗶𝗻𝗲𝗰𝗼𝗻𝗲 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝘁𝗼𝗿𝗲 retrieves relevant docs from 2,000+ past solutions via semantic search → 𝗗𝘂𝗮𝗹 𝗚𝗲𝗺𝗶𝗻𝗶 𝗠𝗼𝗱𝗲𝗹𝘀 generate accurate, brand-consistent responses → 𝗔𝘂𝘁𝗼-𝗿𝗲𝗽𝗹𝘆 𝘀𝗲𝗻𝘁 𝘃𝗶𝗮 𝗚𝗺𝗮𝗶𝗹 - customer gets help in under 60 seconds 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁?  1. 87% of Tier-1 queries resolved without human intervention  2. The support team now focuses on complex issues only  3. Customer satisfaction jumped 34%  4. Operating costs down 60% This isn't about replacing humans. It's about giving them leverage. 𝗕𝗲𝘀𝘁 𝗽𝗮𝗿𝘁? Built entirely in N8N - no custom code, fully customizable, scales infinitely. If you're a CTO, VP of Ops, or Head of CS dealing with ticket overload, this architecture works for SaaS, e-commerce, and service businesses handling 500+ monthly support requests. Want the workflow template? Comment "WORKFLOW" below 👇 #N8N #AIAutomation #CustomerSupport #SaaS #WorkflowAutomationRetry

Advanced Excel Sheet Work – Complete Process In today’s professional environment, Advanced Excel is not just a spreadsheet tool — it is a powerful system for data management, reporting, analysis, and decision-making. From inventory control to logistics, finance, HR, and project management, Excel plays a critical role in improving productivity and accuracy. Complete Advanced Excel Work Process: ✅ Data Collection & Data Entry Gather raw data from different departments Maintain proper format and accuracy Avoid duplicate or incomplete entries ✅ Data Cleaning & Formatting Remove errors and duplicate values Use conditional formatting for better visibility Standardize dates, numbers, and text formats ✅ Formula & Function Usage VLOOKUP / XLOOKUP IF, SUMIF, COUNTIF INDEX & MATCH TEXT, DATE, LEN functions Logical and financial formulas ✅ Data Analysis Pivot Tables & Pivot Charts Dashboard preparation Trend and variance analysis KPI tracking and reporting ✅ Automation & Productivity Data validation Drop-down lists Conditional formatting rules Macro & VBA automation Report auto-generation ✅ Reporting & Presentation MIS report preparation Daily / Weekly / Monthly reports Graphs and visual dashboards Management presentation sheets ✅ Data Security & Backup Password protection Sheet locking Backup maintenance Version control system Benefits of Advanced Excel: ✔ Better data accuracy ✔ Faster reporting process ✔ Improved decision-making ✔ Reduced manual work ✔ Higher productivity and efficiency Advanced Excel skills help professionals work smarter, manage large datasets efficiently, and support business growth through accurate reporting and analysis. #AdvancedExcel #ExcelSkills #DataAnalysis #MISReporting #Dashboard #Productivity #DataManagement #ExcelAutomation #ProfessionalSkills #LogisticsManagement #InventoryControl #OfficeWork #LinkedInPost