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Carshalton, England, United Kingdom
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Articles by Alok
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Agentic AI is Not an Upgrade. It’s a Reset for Software Development
Agentic AI is Not an Upgrade. It’s a Reset for Software Development
The way we talk about AI in software engineering has changed quickly. We’ve moved from simple code assistants and…
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Agile in the Age of AI: Why Adaptability Is the New Competitive AdvantageMar 9, 2026
Agile in the Age of AI: Why Adaptability Is the New Competitive Advantage
Technology is changing faster than ever before. Artificial Intelligence is transforming the way organisations build…
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3K followers
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Alok Agnihotri shared this🚀 The evolution of AI in software engineering is moving fast—from basic copilots and code assistants to something much more transformative: Agentic AI. These aren’t just tools that help with coding; they’re digital teammates that can understand requirements, plan solutions, write code in multiple languages, set up infrastructure, and check the results. Agentic AI is changing the way we work by breaking down silos, speeding up projects, and making collaboration smoother across every stage of development. What’s most exciting is that Agentic AI doesn’t replace people—it empowers teams to do more, better, and faster. By connecting information, automating busywork, and keeping everyone on the same page, Agentic AI is redefining what’s possible in software engineering. Are you ready to see how this new wave of AI can transform your work? #AgenticAI #SoftwareEngineering #AITransformation #DigitalTransformation #TechLeadership #Innovation #EnterpriseArchitecture #BusinessTransformation #FutureOfEngineering #SoftwareArchitecture #SystemDesign #DistributedSystems #Microservices #EventDrivenArchitecture #CloudArchitecture #EngineeringExcellence #Developers #Coding #DevCommunity #DevOpsCulture #CICD #Automation #InfrastructureAsCode #SREAgentic AI is Not an Upgrade. It’s a Reset for Software DevelopmentAgentic AI is Not an Upgrade. It’s a Reset for Software DevelopmentAlok Agnihotri
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Alok Agnihotri posted thisThe conversation around AI is rapidly evolving. At the recent AI summit in India, one theme stood out clearly: AI is no longer just a technology trend — it is becoming national infrastructure. Here are a few key takeaways: • The focus is shifting from AI safety discussions to real-world AI impact. • Countries are investing heavily in compute, data, and AI infrastructure. • Sovereign AI models and local language AI are becoming strategic priorities. • Enterprises are moving from AI pilots to production-scale deployments. • The global AI race will be defined by talent, compute power, and execution speed. The next phase of AI leadership will belong to organisations and nations that can adapt, build, and deploy AI faster than others. Exciting times ahead for technology, innovation, and global collaboration. 🚀 #AI #ArtificialIntelligence #AIInnovation #GenerativeAI #AgenticAI #MachineLearning #DeepLearning #AITransformation #EnterpriseAI #ResponsibleAI #AIInfrastructure #DataAndAI #FutureOfWork #DigitalTransformation #Innovation #TechnologyLeadership #TechStrategy #AIForBusiness #IndiaAI #DigitalIndia #AIIndia #IndiaTech #IndiaInnovation #StartupIndia #IndiaStartups #IndiaTechEcosystem #TechInIndia #MakeInIndia #AtmanirbharBharat #IndiaFuture #NarendraModi #PMModi #ModiGovernment #ModiVision #ModiLeadership #ViksitBharat #NewIndia
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Alok Agnihotri shared thisRecently shared some thoughts on how organisations can navigate the rapidly evolving world of Artificial Intelligence. In the article “Agile in the Age of AI: Why Adaptability Is the New Competitive Advantage”, I explore why traditional delivery models often struggle with AI initiatives and how Agile approaches enable organisations to experiment, learn quickly, and continuously improve AI solutions. The key idea is simple: in the AI era, the organisations that succeed will not necessarily be those with the best initial strategy, but those that adapt the fastest. I also discuss practical enterprise examples across customer service, marketing personalisation, and contact centres where Agile and AI are already working together to drive innovation. I would be very interested to hear how others are combining Agile and AI within their organisations. #AI #Agile #DigitalTransformation #EnterpriseArchitecture #Innovation #TechnologyLeadershipAgile in the Age of AI: Why Adaptability Is the New Competitive AdvantageAgile in the Age of AI: Why Adaptability Is the New Competitive AdvantageAlok Agnihotri
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Alok Agnihotri shared thisAgile in the Age of AI: Why Adaptability Is the New Competitive AdvantageAgile in the Age of AI: Why Adaptability Is the New Competitive AdvantageAlok Agnihotri
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Alok Agnihotri shared thisAlok Agnihotri shared this🚨 We’re Growing! We’re Hiring! Greece only! 🚨 Apparently, we’re doing something right… because our Salesforce practice is growing faster than my caffeine intake on a Monday morning. ☕💻 We’re on the lookout for some brilliant people to join our (frankly, fantastic) Greek Salesforce practice: 🔹 Senior Salesforce Technical Architect (you know… the one who speaks fluent Apex and dreams in APIs) 🔹 Senior Salesforce Business Solution Architect (the one who turns chaos into clarity and makes customers nod in agreement) 🔹 Senior Salesforce Delivery Manager (the one who keeps projects moving and people smiling — or at least relatively calm) If you’re thinking: ✅ “That’s me!” ✅ “That sounds like someone I know!” ✅ “I just want to work with good people who know what they’re doing and don’t take themselves too seriously!” …then reach out to me. No formal cover letters needed — just a conversation to start. Let’s build something great together (with a few laughs along the way). 🚀 No recruiters please. #Hiring #Salesforce #WeAreGrowing #JoinUs #EPAMGreece
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Alok Agnihotri shared thisAlok Agnihotri shared thisAre you not getting the chances to flex your Automotive Cloud muscle? Well, I’m #hiring for a Solution Architect role to do just that. EPAM is a Summit tier Salesforce SI Partner with a star-studded roster of clients. So if you want to accelerate your career, you should consider EPAM. #Salesforce #AutomotiveCloud
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Alok Agnihotri shared thisAlok Agnihotri shared this#wearehiring a Salesforce Technical Architect Please apply below and if you want more information, do not hesitate to contact me! 07932 991 231 ryan_lawrence@epam.com EPAM Systems PolSource #salesforcejobs
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Alok Agnihotri shared thisAlok Agnihotri shared thisWelcome to the EPAM family, PolSource! With our combined expertise, we’ll transform businesses for faster time-to-market—enabling them to not only implement #Salesforce, but leverage a #multicloud approach. Learn more: http://ow.ly/PoO750Ei4xi #DigitalTransformationEPAM Expands Salesforce Capabilities with Acquisition of PolSourceEPAM Expands Salesforce Capabilities with Acquisition of PolSource
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Alok Agnihotri shared thisCome and join us.Alok Agnihotri shared thisEPAM Systems continues to undergo huge change and investment. Now is a great time to join us! If you are a hands-on AEM Solution Architect or Salesforce Solution Architect, we have immediate permanent opportunities in our London teams. As well as technical delivery, you will get involved in pre-sales and work with our UK/Global leadership teams on market leading client projects. Please check out the roles here and contact me directly or apply online: Salesforce SA, London https://lnkd.in/dmVfd9c AEM SA, London https://lnkd.in/dGUrvtM #adobeexperiencemanager #salesforcearchitect #solutionarchitect #engineering #epam
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Alok Agnihotri reacted on thisAlok Agnihotri reacted on thisSalesforce CEO Marc Benioff said the company did not hire additional engineers in fiscal 2026, citing higher productivity from AI-powered coding tools. In a recent interview, Benioff said AI “coding agents��� are now handling much of the engineering workload, reducing the need for new hires. The shift also extends to customer support, where AI agents are replacing some roles. However, Salesforce is increasing hiring in sales, adding nearly 20% more staff to drive growth.
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Alok Agnihotri liked thisAlok Agnihotri liked thisIn agentic commerce, if an AI agent can't find you, you don't exist. That's the discoverability problem. Agents don't browse, they query structured systems and move on. No structured data, no consideration - regardless of how good the product is. MCP servers are how brands get found. Here are three ways this can happen today: 1. Public directories: agents browse mcp.so and emerging registries like app stores. Not listed? Not discoverable. 2. Platform-native exposure: Shopify, SAP CX, Dynamics 365 are baking MCP in. If you're on these platforms, you can get agent distribution without building anything custom (unless someone to build a better MCP - then things get interesting 😀). 3. API translation: Google Apigee or Azure API Center can turn your existing product API into an MCP server. Fastest path if you already have mature APIs. Most brands are treating this like a feature request. It's infrastructure.
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Alok Agnihotri liked thisAlok Agnihotri liked thisOver the last 8 years at Cadalys, Inc., I’ve had the privilege of building a global organization from its early stages to a growing, AI-forward enterprise. We’ve scaled ARR 8x, built a strong global partner ecosystem, achieved SOC 2 Type II compliance, and most recently, transformed our entire development lifecycle and product line using agentic AI—allowing us to launch two new AI native products without increasing headcount. During that same time period, my wife Betsy Larrabee and I navigated our son Beaudin through treatment for Acute Lymphoblastic Leukemia (ALL), navigating back and forth between our home in Longmont, Children's Hospital Colorado and Children's Hospital of Philadelphia where he received Car-T cell therapy treatment that successfully cured him from his disease. Not once throughout that time period did Marc Friedman, Rick Faint or any of the others on my leadership team ever question me about the time I was spending figuring all of that out. They fully supported me taking care of my son, my family, and myself and for that I will be eternally grateful. Some pics of our journey below. As we reach this natural strategic milestone in the life of Cadalys, and I continue to support the company through its next phase of evolution, I am officially opening my door for my next chapter. I am actively looking for a COO or Growth-stage leadership role where I can apply my experience in capital-efficient scaling, AI-enabled operations, and global GTM strategy and execution. If your organization, one of your portfolio companies, or partners are looking for a leader who builds "the operating system and machine” that builds the product and gets it into market, I’d love to connect.
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Alok Agnihotri liked thisAlok Agnihotri liked thisAfter spending years working with Salesforce, I’ve realised an important shift happening in the technology industry. Being a Salesforce expert alone is no longer enough to stay competitive in today’s IT landscape. Salesforce remains an incredibly powerful platform for CRM, automation, and enterprise solutions. But the future of technology is moving towards AI-driven systems, intelligent automation, and data-centric decision making. To stay relevant, Salesforce professionals should start expanding their skillsets into areas such as: • Artificial Intelligence • Machine Learning • Prompt Engineering • Data Engineering • AI-powered CRM solutions The next generation of enterprise applications will not just store customer data — they will predict behaviour, automate decisions, and continuously learn from data. The professionals who will thrive in the next 5–10 years are those who combine platform expertise (like Salesforce) with cutting-edge technologies like AI and ML. The future belongs to hybrid technologists — people who understand both business platforms and intelligent systems. If you're working in the Salesforce ecosystem today, this is the perfect time to start exploring AI. Because the question is no longer: “Should we use AI?” The real question is: How fast can we adapt to it? #Salesforce #ArtificialIntelligence #MachineLearning #FutureOfWork #TechCareers #AI #DigitalTransformation
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📢 It’s here! 📢 Our fireside chat between labb CIO Henry Hale and Pegasystems CTO Don Schuerman is now available to view in full, completely free! Henry and Don cover a whole host of topics surrounding Agentic Self-Service, talking in detail about how this advanced technology is reshaping the industry and how best to implement it, while addressing concerns people have around service quality and audit risk. Gain full access here: https://hubs.ly/Q0460BBj0
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Kolvan Corporation
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The evolution from Salesforce CPQ to RCA is more than just a feature upgrade, it’s a complete architectural transformation. At Kolvan Corporation, we’ve helped clients make this shift and seen firsthand how RCA unlocks new levels of speed, flexibility, and automation across the quote-to-cash lifecycle. Check out what carries over from CPQ and what’s elevated in RCA: from unified architecture and enhanced pricing functionality to Dynamic Revenue Orchestration (DRO). If you’re exploring what RCA could mean for your business, our team’s deep experience can help you map the path forward, from readiness assessment to go-live. Check out the comparison below and reach out if you’re ready to start your RCA journey. #Salesforce #RCA #RevenueCloud #CPQ #RevOps #Ecosystem #SalesforceCPQ #DigitalTransformation
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As Salesforce platforms mature, architecture decisions become harder — and more important. A clear architectural vision provides direction and alignment. Incremental evolution allows teams to respond to changing realities. Both approaches bring value, and both introduce risk when taken too far. Strong Salesforce teams don’t lock themselves into rigid blueprints or drift without direction. They use vision as a guide, while allowing the platform to evolve deliberately over time. That balance is what keeps Salesforce architectures relevant and resilient. #Salesforce #CRMArchitecture #EnterpriseSystems #DigitalTransformation #SalesforceConsulting
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SFC&C 𝗠𝗲𝗺𝗯𝗲𝗿𝘀 𝗕𝗹𝗼𝗴 𝗣𝗼𝘀𝘁 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 - by Raksha Sanganee The Members' Blog Post in now published in the UK Salesforce Consultants & Contractors Group here! https://lnkd.in/eiRpCW-f As a bonus for non-members, here's a brief summary of the full post as well as a podcast episode discussing its contents - enjoy Podcast Discussion (YouTube) https://lnkd.in/edY9sMBC Please don't forget to share your thoughts in the comments! 👇 𝗕𝗹𝗼𝗴 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 Salesforce AI, like Einstein AI, enhances decision-making by turning data into insights. 𝗔𝗜 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝘀 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 📈, 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 🤝, 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 ⚡️, 𝗯𝘂𝘁 𝗶𝘁𝘀 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝘀 𝗼𝗻 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆. Clean, well-integrated data ensures accurate recommendations. AI-driven automation personalises interactions, boosting loyalty. Seamless integration with ERP and marketing tools prevents data silos and ensures a complete customer view. Implementing AI in Salesforce comes with challenges like data governance, security 🔐, and compliance. Breaking down data silos requires unifying data with Salesforce Data Cloud. 𝗛𝗶𝗴𝗵 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝘀 𝗰𝗿𝘂𝗰𝗶𝗮𝗹—eliminating inconsistencies improves AI accuracy. Managing costs through phased rollouts and ROI analysis helps. Driving adoption requires training, success stories, and addressing AI bias concerns. Successful AI implementation needs a clear data strategy, governance, and security measures. Salesforce Data Cloud helps unify business data. Security and compliance should be prioritised with encryption and regulatory checks. Ethical AI use ensures transparency and prevents bias. Cross-team collaboration is essential for smooth execution and adoption. Salesforce AI and data architecture require strategic planning and optimisation. Despite challenges, businesses that focus on data quality and AI integration drive innovation and efficiency. By following best practices, they unlock AI’s full potential for long-term success. 🚀 The full post is in the 𝗦𝗙𝗖&𝗖 𝗠𝗲𝗺𝗯𝗲𝗿𝘀 𝗚𝗿𝗼𝘂𝗽 https://lnkd.in/eiRpCW-f
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