Sampat Kantamsetti

Most Pega projects don’t fail because of the platform. They fail because architects stop thinking after the first release. Reusability is treated like a buzzword. Design governance becomes tick-box compliance. Business rules get hardcoded into processes. Data models are rushed and rigid. And the worst part? No one talks about it openly. If your Pega solution can’t flex, extend, and evolve with the business, it’s not a solution, it’s a liability. True architecture thinks beyond Day 1. How will this scale when the business doubles? How will this perform under 10x load? How will this integrate with future systems you haven't even thought of yet? How will analysts adapt rules without a dev cycle? If your design doesn’t answer these, it’s unfinished. Let’s raise the bar. Let’s build Pega solutions that live beyond go-live. What’s the one thing you wish every Pega architect considered before building? #Pega #DigitalTransformation #ArchitectureMatters #ScaleBeyondGoLive #PegaCLSA #NoFluffExecution

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Too many companies are still trying to pass off basic chatbots as the best AI can offer, but most of them are brittle, siloed, and leave customers yelling “representative!” I believe there's too much focus on automation and not enough on meeting customer needs. We know what good customer service looks like and what the right use of AI can do. I'm really proud of what our team just launched with Pega Self-Service Agent. It's not just another chatbot or prompt-based interface—it’s a useful AI agent that can do things, not just say things. It uses the same enterprise-grade workflows and data access as the best human reps but brings that power directly into self-service channels like chat, email, and voice - so humans can focus on dealing with the issues that truly need their attention. Instead of canned responses, customers get real resolutions—securely, consistently, and across any channel. And when a person really needs to step in, the handoff is seamless. This is what’s possible when you leverage technology that we are uniquely able to offer - Pega Blueprint™, Predictable AI™, and Center-out™ architecture. You don’t just automate service—you elevate it. https://lnkd.in/esdMrRdm

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🚀 Seamless Pega-Kafka Integration! 🔗 Ever wondered how Pega Cases communicate with Kafka for real-time event streaming? 📡 Here’s a visual breakdown of how messages flow from Pega Case Management to Kafka Brokers, Topics, and Partitions, then get consumed by Pega Stream Nodes for further processing. 🔹 Efficient, Scalable, and Event-Driven! 🔹 Unlock real-time decisioning & automation with Pega & Kafka. #Pega #Kafka #Integration #EventDriven #RealTimeProcessing #Automation #Architecture

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Here’s a thought experiment: what would break if your GCC isn’t there tomorrow? In the second episode of GCCs Unfiltered, Deepak Visweswaraiah, Senior Vice President and Managing Director, Pegasystems India, joins Nitika Goel (She/Her), Managing Partner & CMO, Zinnov, and he says that for Pega, the answer is everything. With over half of Pega’s engineering based in India, the center is enterprise-critical. Together, the duo also talks about what really keeps a GCC relevant — leadership, culture, and systems thinking — and why the AI story must move beyond pilots to become the backbone of every decision. Tune in now: https://lnkd.in/dcDHqkT6 #ZinnovPodcast #GCCsUnfiltered

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Just wrapped up an insightful 10-day Salesforce Manufacturing Cloud training with IBM! 🚀🧠 We explored powerful features like: 🔹 Sales Agreements 🔹 Advanced Account Forecasting 🔹 Program-Based Business 🔹 Account Manager Targets 🔹 Visit Management ✨ And some exciting new capabilities like Asset Lifecycle Management, Warranty, and Claims Management! What made it even better? It was 100% hands-on 💻🛠️ — we implemented these features, experimented with different configurations, and explored how to further customize these solutions to real-world manufacturing needs. The training wrapped up with insightful discussions around: 🌍 The state of the manufacturing industry 🤔 Common customer challenges and how Salesforce Manufacturing Cloud addresses them along with other suite of products and 🔮 What’s coming in future releases which gives us insights into areas where product team is focussed on The cohort was a dynamic mix of Salesforce professionals 👩‍💻👨‍💼 — from developers, admins, and BAs to architects, tech leads, and pre-sales consultants. 💬 I Loved the engaging conversations with learners around industry solutions, the Service/Sales Cloud vs. Manufacturing Cloud transition, and the ever-relevant build vs. buy debate. Super excited to see how learners put these learnings into action and help customers drive transformation with Salesforce Manufacturing Cloud! 🔧🏭📈 #Salesforce #ManufacturingCloud #SalesforceConsultant #SalesforceTraining #IBM #IndustrySolutions #DigitalTransformation #CRM #Innovation #Trailblazer 🌟

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Think of your customer engagement strategy like wearing a smartwatch. Every day, it quietly tracks your steps, heart rate, and sleep, helping you understand your patterns and alerting you when something's off. In Pega CDH, tools like the Impact Analyzer, Value Finder, and Action Performance Tracker work the same way. They’re your digital health monitor for decision strategies. They help us spot what's working, what's underperforming, and where we might be pushing messages that don't add value, like a heart rate spike after too much caffeine. But here’s the real power - imagine combining your smartwatch data with your full medical history. In CDH terms, that means combining the decisioning insights with customer transaction history from the bank's financial systems. That's how we unlock full customer value lift. We’re not just optimizing strategy operations - we're connecting it to actual business value: deposits, product uptake, retention. With that view, we move from treating symptoms to prescribing the right engagement - personalized, profitable, and proven! #PegaCDH #CustomerDecisionHub #NextBestAction #WeAreDCS

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The Pega community has been asking, and we've been listening. Constellation FAQ - a comprehensive guide that tackles the real-world questions you may encounter when working with Pega's Constellation. 🎯 What you'll find inside: • Architecture Deep Dives - Understanding the shift from traditional UI to Constellation • Extensibility Options - When and how to extend beyond out-of-the-box components • Adoption Strategies - Multiple implementation pathways for smooth transitions • Project Role Guidance - How Constellation affects development workflows • and many more answers to frequent questions with practical, actionable insights This resource draws from real-world implementations, training sessions, and our vibrant community of practitioners who continuously share knowledge about advanced use cases and troubleshooting. 👏 Special thanks to Katarzyna Mistarz and Anna Chociej for their excellent work in creating this invaluable resource for our community! 🔗 Dive in: https://lnkd.in/dQjYBXcg

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As a Salesforce Quality Consultant, I’ve often seen how essential it is for QAs to understand the functional structure of Sales Cloud—especially since it’s one of the most widely used Salesforce clouds across projects. Having a clear grasp of Sales Cloud features not only helps in functional validation but also improves the efficiency of regression testing and supports better collaboration with admins and developers. To support learners and professionals preparing for certifications, I’ve created a concise, easy-to-follow Sales Cloud document covering: - Core Sales Cloud features - How to use them - Key elements useful for both QA testing and certification prep If you’re a QA professional, admin, or someone preparing for Sales Cloud certification, this might be a helpful resource for your journey. Feel free to explore and share with your network! #salesforce #SalesforceQA

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🚀 Successful Migration from Themes Cosmos to Constellation in Pega! Recently completed a migration of a Pega application from Themes Cosmos to Constellation using the Constellation Modernization Assistant (Component). Thought of presenting it as a sample case study. 💡 Sample Case Study Spotlight: OmniTrack, a company with an aging order management system built on Themes Cosmos, has now successfully transitioned to Constellation. The result? A modernized user experience and improved system efficiency. 📽️ Check out the video/link below to see how the transformation was achieved and the benefits OmniTrack is already experiencing. #Pega #Constellation #Modernization #LowCode #CaseStudy #DigitalTransformation https://lnkd.in/g3cAGs7q

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🚨 PEGA 25: Autonomy Unlocked. Efficiency Is Non-Negotiable. 🚨 After reviewing Pega 25 features, here are the TOP 5 delivering core business value and efficiency: 1. 🧠 Agentic Workflows: Predictable AI That Executes Pega introduces Agent and Tool Rules to automate Case processing, ensuring governed, predictable execution. 🔵Move to Action: Agents offer automated actions and guidance. They can run an automated action (e.g., changing the Case Stage), call another Agent, or start a Case (in Constellation). 🔵Instant Context: Agents process attached documents to extract information, automatically populating the Data Model. 2. 📄 Doc Agent: IDP with Zero Training Doc Agent uses Pega GenAI to effortlessly automate document workflows without training or complex prompts. 🔵Automation Without Complexity: It extracts and processes data and classifies documents. This is ideal for digitizing document-heavy processes. 🔵Universal Recognition: Supports extraction from tables and checkboxes, including handwritten documents. 🔵Compliance: LLM providers do not store or use any data uploaded. 3. 📈 Business-Logic Based Case Archival & Retention Configure Case archival and data retention policies based on different business logic conditions. 🔵Compliance Control: Create multiple business policies to meet varying retention regulations for Cases of the same Case Type. 🔵Flexible Policies: Define the logic a Case must meet to be eligible for archival or permanent deletion (expunged). 4. 🤖 GenAI Autopilot: Automated Testing, Accelerated Delivery Pega GenAI Autopilot automates test authoring, delivering massive time and cost savings. 🔵High-Quality Speed: Automatically creates Application Tests and Pega Business Actions for Constellation projects. 🔵Smart Automation: Automates the creation/maintenance of costly API and UI tests. 5. ✨ Generative AI as a Data Page Source & AI Designer Playground Use Generative AI as a source for a Data Page to enrich Case context. 🔵Streamlined Analysis: Send textual info to the AI, customize the prompt, and map the response to a property (e.g., summarizing a claim document). 🔵Interactive Testing: The AI Designer playground lets you test GenAI Connect Rules without saving. 🚀 This is not just an upgrade; it’s an evolution to the Agentic Enterprise. 👉 Are you planning your upgrade to Pega 25? If so, which of these 5 features is the single biggest differentiator for your business? Share your insights below! 👇 #Pega25 #GenAI #LowCode #PegaPlatform #Pega #Pegatech #Techie #PegaAgent #PegaBlueprint #PegaGenAI #Constellation #DigitalTransformation #FutureOfWork #Automation #LowCode #AgenticAI #Casemanagement #BPMtools #BPM #Agents #LCNC #Pegaupgrade #PegaUpdate #Pegalearnings #learning #Pegarelease #newfeatures #pegafeatures #cognitonicsystems

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Fireside Chat Highlights: Deepak Visweswaraiah, SVP and MD India, Pegasystems at the 1st edition of #GCCConclaveEC 2025 | 20th August 2025 | Hyderabad Topic: The Next Decade of GCCs - From Delivery Hubs to Global Decision-Makers Moderated by Nivedan Prakash, Deputy Associate Editor, #ExpressComputer & #CRNIndia, The Indian Express Group [1] GCCs have evolved from being seen as outsourced delivery centers to becoming strategic hubs, driving innovation and decision-making on par with global headquarters. [2] ⁠Pega’s AI-driven platform is deeply integrated, enabling seamless collaboration between business and developers, with focus on outcomes rather than just outputs. [3] ⁠For GCCs to thrive, they must develop thought leadership, build global leaders, and foster a culture of curiosity, accountability, and customer-centric innovation beyond just technical skills. [4] ⁠AI will significantly transform roles, but instead of reducing GCC value, it will help reimagine legacy systems, accelerate innovation, and free up talent for higher-value work. [5] ⁠GCCs must strike the right balance between independence and alignment with headquarters through clear governance frameworks, shared goals, and accountability to gain a real seat at the global table. Srikanth RP | Harshal Desai | Sayantan Mondal | Salvi Mittal | Aaratrika Talukdar | Atreyee Chakraborty | Vishnu Gupta | PRABHAS JHA | Ravindranath Nair | Durgaprasad Talithaya | Praveen Kumar.S | Sunil Kumar | Navneet Negi | Naveen khareta | Deepak Patel | Aparna Tawade | John P K | Madhuri Kudapkar | Nilesh Mungekar

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