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Neelam Dwivedi reposted thisNeelam Dwivedi reposted this𝗘𝘅𝗽𝗲𝗰𝘁 𝗱𝗼𝗺𝗮𝗶𝗻 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗱𝗲. 𝗠𝗼𝗿𝗲 𝗼𝗽𝗲𝗻, 𝘁𝗵𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 (2/8) 𝘗𝘢𝘳𝘵 2 𝘰𝘧 8 — 𝘋𝘰𝘮𝘢𝘪𝘯 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦𝘴 In a world where context matters as much as code, the language of the domain must be expressed separately from the code in Java or Python. A modern domain language must embrace following characteristics to be compatible with the design, build and deploy fast paradigm of AI-enabled software engineering. 𝗢𝗻𝘁𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝗮𝘀 𝗰𝗼𝗱𝗲. When most code may be generated, enterprise ontology is the true intellectual property - a first step towards capturing knowledge, an ever evolving construct, which makes data meaningful, captures relationships and past actions for better decision making. 𝗘𝘅𝗽𝗿𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗻𝘁 𝘄𝗶𝘁𝗵𝗶𝗻 𝗮𝗻𝘆 𝘄𝗼𝗿𝗸 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗮.𝗸.𝗮. 𝘁𝗵𝗲 𝗿𝗲𝗮𝘀𝗼𝗻 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗮𝗰𝘁𝗶𝗼𝗻𝘀. This is important for explainability, of why an action has taken place, whether by human or an AI or deterministically by an automation. The same data when presented to situations with different intent, would trigger a different choice of actions. 𝗘𝘅𝗽𝗿𝗲𝘀𝘀 𝘁𝗵𝗲 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗼𝗳 𝘄𝗼𝗿𝗸 (𝗮.𝗸.𝗮 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀), 𝘄𝗶𝘁𝗵 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻. Mathematical precision and not non-determinism is required to operate the governance framework that ensure alignment with regulatory, business monitoring and risk rules. 𝗘𝗻𝗮𝗯𝗹𝗲 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗽𝗿𝗲𝗰𝗶𝘀𝗲 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. Insurance against regression and inviolability of governance boundaries must be demonstrated, when code gets cheaply generated. Domain languages that support precision in testing can bring down the cost/effort of reliability, significantly. 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗲𝗻𝗮𝗯𝗹𝗲 𝗱𝗲𝗲𝗽 𝗰𝗼-𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻. Co-ordination gaps exist in the ecosystem and need solving structurally by facilitating exchange of ontological definitions, intent, expected actions and policies between systems. When domain languages are open, they create opportunity for coordination across systems and beyond an organisation.
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Neelam Dwivedi shared thisAnand is very insightful and his posts are so relevant for today and tomorrow, especially as he shares his incredible experience with us in enterprise space. Have a read, friends!Neelam Dwivedi shared this𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗯𝗿𝗼𝗸𝗲𝗻. (𝟭/𝟴) 𝘗𝘢𝘳𝘵 1 𝘰𝘧 8 — Business Orchestration The space is crowded — legacy players from 20 years ago, low-code platforms, RPA tools. Yet none of them were built for the world we operate in today. Here's what has changed: 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗱𝗲𝗲𝗽, 𝗻𝗼𝗻-𝗹𝗶𝗻𝗲𝗮𝗿 𝗮𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗿𝗲-𝘄𝗶𝗿𝗲 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝘄𝗼𝗿𝗸. It's not about executing tasks in a sequence — it's about questioning whether the old flow of work is even valid anymore. Roles, processes, and assumptions that made sense five years ago are being challenged at their foundation. Organizations may need to let AI reshape their landscape, rather than augmenting capability. "𝗛𝘂𝗺𝗮𝗻 𝗼𝗿 𝗮𝗴𝗲𝗻𝘁𝗶𝗰?" 𝗶𝘀 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻. It's a false choice that distracts from what actually matters — intelligent design. The best workflows blend human judgment, automation and crafted experiences seamlessly, enabling frictionless coordination. 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗷𝘂𝘀𝘁 𝘁𝗮𝘀𝗸 𝗺𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗯𝘂𝘁 𝗿𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 𝗼𝗳 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲. The real value lies in what the organisation knows — and how that knowledge flows, compounds, and informs decisions in real time. This is not a process change. It is an architectural one. The underlying systems that power workflows need to be rebuilt around knowledge — how it is captured, connected, activated and evolved — not just around tasks and their statuses. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗱𝗼𝗻'𝘁 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗦𝗟𝗔𝘀. They expect results. Fast. A ticket resolution timeline is not a customer experience strategy. 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 𝗮𝗻𝗱 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗿𝗲 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗹𝗲𝗴𝗮𝗰𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗮𝗻 𝗰𝗼𝗽𝗲. Old workflow architecture simply was not built for the velocity of change in the environment. It takes days for someone to understand code, trace impact of change, while coding itself may be quick. Reliability is a totally different ballgame. 𝗧𝗵𝗲 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿 𝗶𝘀 𝘂𝗻𝗳𝗼𝗿𝗴𝗶𝘃𝗶𝗻𝗴. The pace of change is not an excuse for mistakes or absence of guardrails for security and risk monitoring. But equally, regulation cannot be allowed to become a brake on speed of business. That tension demands smarter design. Enterprise orchestration doesn't need another feature update. It needs reinvention. 𝘞𝘩𝘢𝘵'𝘴 𝘵𝘩𝘦 𝘣𝘪𝘨𝘨𝘦𝘴𝘵 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯/𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸 𝘣𝘰𝘵𝘵𝘭𝘦𝘯𝘦𝘤𝘬 𝘩𝘰𝘭𝘥𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘵𝘦𝘢𝘮 𝘣𝘢𝘤𝘬 𝘳𝘪𝘨𝘩𝘵 𝘯𝘰𝘸? 𝘐'𝘥 𝘭𝘰𝘷𝘦 𝘵𝘰 𝘩𝘦𝘢𝘳 𝘪𝘵. 𝘗𝘭𝘦𝘢𝘴𝘦 𝘸𝘳𝘪𝘵𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴 𝘣𝘦𝘭𝘰𝘸.
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Neelam Dwivedi reposted thisNeelam Dwivedi reposted thisBilling, done in just a few clicks. With LegalXGen, law firms can create GST-ready invoices, track payments, and manage finances effortlessly, all from one powerful platform. Less paperwork. More practice. #LegalXGen #LegalTech #LawFirmManagement #BillingSimplified #GSTReady #AIInLaw #PracticeManagement #LawFirmGrowth #Einvoice #GSTSync
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Neelam Dwivedi reposted thisNeelam Dwivedi reposted thisThe person who built Claude Code just told you how to use it. Here’s what matters. Boris Cherny shipped 259 PRs last month. 497 commits, 40k lines. Every line written by Claude Code. He posted threads on X laying out exactly how his team uses it. Not marketing. Operational specifics. Here’s what stood out. ----- Parallelism is the real unlock. His team runs 3–15 AI sessions simultaneously. The biggest gain isn’t making Claude smarter — it’s treating it like a workforce you schedule, not a single assistant you chat with. Plan first. Always. Every task starts in “plan mode.” Boris iterates until the plan is solid, then flips to auto-execute. When things go sideways, the answer is to re-plan — not push harder. One engineer spins up a second Claude to review the plan as a senior engineer would. Build institutional memory into the system. Every team maintains a shared instruction file in their repo. Every time Claude makes a mistake, someone adds a rule. Result: Claude gets measurably better at their codebase over time. If no one owns this, the team starts from zero every session. Automate the repetitive inner loops. Any workflow repeated daily becomes a reusable command. A commit-push-PR cycle. A command that syncs Slack, Drive, Asana, and GitHub into one context dump. The real ROI isn’t one-off tasks — it’s packaging what gets repeated every day. Delegate bugs. Stop micromanaging how. His team pastes a Slack bug report into Claude and says “fix.” Boris noted that newer engineers — who haven’t built assumptions about what AI can’t do — use it more effectively than veterans. The mental model most people carry is now holding them back. Verification is worth more than generation. Giving Claude a way to verify its own work multiplies output quality 2–3x. His team built browser testing so Claude checks its own output before a human sees it. Don’t benchmark on speed. Benchmark on the feedback loops. The system matters more than the model. Boris uses the most capable model for everything, even though it’s slower. The “correction tax” — human attention spent fixing mistakes — is the real cost. The shared instructions, verification loops, and automated workflows are where compounding happens. This isn’t staying inside engineering. Boris built Claude Code for engineers. The first real adopters were data scientists, designers, finance, and sales. Each found their own use case. Nobody planned for it. These tools are already escaping the engineering org. ----- His workflow is, by his own admission, “surprisingly vanilla.” What makes it effective is discipline: plan rigorously, verify relentlessly, automate the repetitive, share the learnings. Source: Boris Cherny’s threads on X, January 2026
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Neelam Dwivedi reposted thisNeelam Dwivedi reposted this𝟕 𝐃𝐚𝐲𝐬 𝐭𝐨 𝐆𝐨 | 𝐋𝐚𝐬𝐭 𝐅𝐞𝐰 𝐒𝐞𝐚𝐭𝐬 𝐑𝐞𝐦𝐚𝐢𝐧𝐢𝐧𝐠 With just one week to go, registrations are nearing closure for the astuto.ai CXO Roundtable; an invite only, closed door discussion bringing together senior technology leaders from the financial services ecosystem. The roundtable is designed for candid, peer level conversations around how AI is reshaping cloud economics, infrastructure choices, operating models and technology governance. 𝐄𝐯𝐞𝐧𝐭 𝐃𝐞𝐭𝐚𝐢𝐥𝐬: 📅 𝟐𝟐𝐧𝐝 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 🕖 𝟕:𝟎𝟎 𝐏𝐌 𝐨𝐧𝐰𝐚𝐫𝐝𝐬 📍 𝐌𝐮𝐦𝐛𝐚𝐢 The evening will conclude with networking over dinner and cocktails in an informal setting. 🎟️ Last few seats left: https://lnkd.in/dEyegq_C (Participation is limited and confirmed by invitation.) #AstutoAI #CXORoundtable #CloudStrategy #TechnologyLeadership #FinancialServices #AIAtscale
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Neelam Dwivedi reposted thisNeelam Dwivedi reposted thisOmozing supports young entrepreneurs beyond traditional filters. #Business #Loans #Entrepreneur #BusinessLoan #PanIndia #Business #Entrepreneur #BusinessLoan #StartupIndia #SME #PanIndia #YoungEntrepreneurs #StartupFunding #BusinessGrowth #MSME #Founders #BusinessLoans #UnsecuredBusinessLoan #WorkingCapital #SMEFinance #StartupLoans
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Neelam Dwivedi posted this💡 In 90 days, India starts a 1.4 billion person "Sync." 💡 Imagine a dataset so large it requires 30 lakh field staff to collect. In April 2026, the 16th National Census begins. For the last 15 years, we Indian startups have been building on 2011 data. Since then: We’ve seen the UPI revolution. Smartphone penetration has exploded. Tier-2 and Tier-3 cities have become the new growth engines. But we’ve been "flying blind" on the exact numbers. That changes this year. Founders, are you ready for India 2.0? India's 2026 Census: This Could Be Huge for Startups Here's something I've been thinking about lately—India is finally conducting its national census this year after a 15-year gap. And honestly, I think this might be one of the biggest opportunities for our startup ecosystem that we're not talking about enough. Let me explain why I'm excited Think about it. The last census happened in 2011. Back then, only 17% of Indians were online. UPI didn't exist. Most of us were still figuring out what a smartphone was. Fast forward to today—we have 700M+ internet users, digital payments are everywhere, and consumption patterns have completely transformed. The 2026 census is going to capture this NEW India (for Viksit Bharat). And for those of us building startups, this is essentially a massive market intelligence update we've been waiting for. Here's what I see happening: If you're building in fintech, you're about to get granular data on financial inclusion gaps in tier 2/3 cities. Imagine knowing exactly where the next 200 million users are. Edtech and healthtech folks will finally have updated numbers on education levels, digital literacy, and healthcare access patterns. No more relying on outdated assumptions. For agritech startups, fresh data on agricultural households, land patterns, and rural incomes could be game-changing for targeting and product development. E-commerce and D2C brands—think about having real consumption data and purchasing power insights to back up your expansion plans and investor decks. And there's a whole govtech opportunity here too. Someone needs to build the tools that make this data accessible and actionable for everyone. The real value? This census will help us answer questions we've been guessing at for years: Where are the truly underserved markets? Which demographics are growing fastest? How has migration changed our cities and towns? I think the smartest founders are going to start preparing now for how they'll use this data. It's not just about informing strategy—it could literally shape what we build next. With a progressive government, we can work wonders. I'm curious—what opportunities are you seeing here? Which sectors do you think will benefit most from this data? Let's discuss in the comments. Would love to hear your thoughts! #IndianStartups #Census2026 #DataDriven #StartupIndia #Innovation #IIT #IITDELHI
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Neelam Dwivedi posted thisThe "AI-Native" NBFC : My IIT brain loves the AI magic tech. My Wharton brain loves the margins. Here is why the "Middle Office" of the NBFCs is about to disappear or get optimized big time. For decades, the "Middle Office" has been the graveyard of efficiency in lending - slowing down vital credit flow to our consumers and MSMEs. It’s where speed goes to die—trapped between credit sub-processes, document verification, and risk assessment. Traditionally, scaling an NBFC meant scaling headcount. More loans = more underwriters. More complexity = more analysts. More work = More creeping errors. At Omozing, we have decided to flip the script. We aren’t just "using" AI; we are rebuilding our core as an Agentic-Native NBFC powered Fintech. What does that actually mean? Most Fintechs use "Generative AI" as a fancy wrapper for a chatbot. That’s just a UI change. We are using Agentic AI to automate reasoning. Autonomous Underwriting Pods: Instead of a human manually cross-referencing salary slips, bank statements, social graphs, GST filings with bank statements, our AI Agents boost our human team to "reason" through the data. They identify patterns, flag inconsistencies, and draft the credit memo themselves. Deterministic Guardrails: Because we operate in a regulated space, "hallucinations" aren't an option. We’ve built agentic workflows that follow strict Indian lending compliance while operating at 100x human speed. The Shift from "Process" to "Outcome": Our agents don't just "alert" us to a risk; they evaluate the risk, check it against our historical recovery data, and suggest a specific mitigation strategy before the human underwriter even opens the file. The Result? 70% reduction in Turnaround Time (TAT) for loan processing. Zero increase in Middle Office headcount despite a growing loan book. Higher-Quality Decisioning: Humans are now "Reviewers," not "Data Entry Clerks." The NBFC of 2026 won't be defined by the size of its capital alone—it will be defined by its Intelligence Density. We are moving away from a company that uses AI to an AI system that runs a company. Are you still viewing AI as a "productivity tool" for your staff, or as the core architecture of your business? I’d love to hear how other founders are thinking about the "Agentic Shift." #Fintech #NBFC #AgenticAI #GenerativeAI #Omozing #Lending #DigitalTransformation #IITDelhi #Wharton
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Neelam Dwivedi shared thisHave a great 2026 dear all, the Year of the English Alphabets! :) , we shall be sharing some fantastic A to Z guides around money, loans, credit wellness, remain tuned !Neelam Dwivedi shared thisHappy New Year! Wishing you growth, success, and new opportunities ahead. #TrendingTech #Technology #TechTrends #TechInnovation #Software #SoftwareDevelopment #SoftwareEngineering #ITIndustry #Developers #Coding #Programming #DevCommunity #DigitalTransformation #CloudComputing #SaaS #DevOps #Automation #CyberSecurity #DataScience #AI
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Neelam Dwivedi liked thisNeelam Dwivedi liked this𝗘𝘅𝗽𝗲𝗰𝘁 𝗱𝗼𝗺𝗮𝗶𝗻 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗱𝗲. 𝗠𝗼𝗿𝗲 𝗼𝗽𝗲𝗻, 𝘁𝗵𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 (2/8) 𝘗𝘢𝘳𝘵 2 𝘰𝘧 8 — 𝘋𝘰𝘮𝘢𝘪𝘯 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦𝘴 In a world where context matters as much as code, the language of the domain must be expressed separately from the code in Java or Python. A modern domain language must embrace following characteristics to be compatible with the design, build and deploy fast paradigm of AI-enabled software engineering. 𝗢𝗻𝘁𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝗮𝘀 𝗰𝗼𝗱𝗲. When most code may be generated, enterprise ontology is the true intellectual property - a first step towards capturing knowledge, an ever evolving construct, which makes data meaningful, captures relationships and past actions for better decision making. 𝗘𝘅𝗽𝗿𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗻𝘁 𝘄𝗶𝘁𝗵𝗶𝗻 𝗮𝗻𝘆 𝘄𝗼𝗿𝗸 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗮.𝗸.𝗮. 𝘁𝗵𝗲 𝗿𝗲𝗮𝘀𝗼𝗻 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗮𝗰𝘁𝗶𝗼𝗻𝘀. This is important for explainability, of why an action has taken place, whether by human or an AI or deterministically by an automation. The same data when presented to situations with different intent, would trigger a different choice of actions. 𝗘𝘅𝗽𝗿𝗲𝘀𝘀 𝘁𝗵𝗲 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗼𝗳 𝘄𝗼𝗿𝗸 (𝗮.𝗸.𝗮 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀), 𝘄𝗶𝘁𝗵 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻. Mathematical precision and not non-determinism is required to operate the governance framework that ensure alignment with regulatory, business monitoring and risk rules. 𝗘𝗻𝗮𝗯𝗹𝗲 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗽𝗿𝗲𝗰𝗶𝘀𝗲 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. Insurance against regression and inviolability of governance boundaries must be demonstrated, when code gets cheaply generated. Domain languages that support precision in testing can bring down the cost/effort of reliability, significantly. 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗲𝗻𝗮𝗯𝗹𝗲 𝗱𝗲𝗲𝗽 𝗰𝗼-𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻. Co-ordination gaps exist in the ecosystem and need solving structurally by facilitating exchange of ontological definitions, intent, expected actions and policies between systems. When domain languages are open, they create opportunity for coordination across systems and beyond an organisation.
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Neelam Dwivedi liked thisNeelam Dwivedi liked this𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗯𝗿𝗼𝗸𝗲𝗻. (𝟭/𝟴) 𝘗𝘢𝘳𝘵 1 𝘰𝘧 8 — Business Orchestration The space is crowded — legacy players from 20 years ago, low-code platforms, RPA tools. Yet none of them were built for the world we operate in today. Here's what has changed: 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗱𝗲𝗲𝗽, 𝗻𝗼𝗻-𝗹𝗶𝗻𝗲𝗮𝗿 𝗮𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗿𝗲-𝘄𝗶𝗿𝗲 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝘄𝗼𝗿𝗸. It's not about executing tasks in a sequence — it's about questioning whether the old flow of work is even valid anymore. Roles, processes, and assumptions that made sense five years ago are being challenged at their foundation. Organizations may need to let AI reshape their landscape, rather than augmenting capability. "𝗛𝘂𝗺𝗮𝗻 𝗼𝗿 𝗮𝗴𝗲𝗻𝘁𝗶𝗰?" 𝗶𝘀 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻. It's a false choice that distracts from what actually matters — intelligent design. The best workflows blend human judgment, automation and crafted experiences seamlessly, enabling frictionless coordination. 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗷𝘂𝘀𝘁 𝘁𝗮𝘀𝗸 𝗺𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗯𝘂𝘁 𝗿𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 𝗼𝗳 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲. The real value lies in what the organisation knows — and how that knowledge flows, compounds, and informs decisions in real time. This is not a process change. It is an architectural one. The underlying systems that power workflows need to be rebuilt around knowledge — how it is captured, connected, activated and evolved — not just around tasks and their statuses. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗱𝗼𝗻'𝘁 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗦𝗟𝗔𝘀. They expect results. Fast. A ticket resolution timeline is not a customer experience strategy. 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 𝗮𝗻𝗱 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗿𝗲 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗹𝗲𝗴𝗮𝗰𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗮𝗻 𝗰𝗼𝗽𝗲. Old workflow architecture simply was not built for the velocity of change in the environment. It takes days for someone to understand code, trace impact of change, while coding itself may be quick. Reliability is a totally different ballgame. 𝗧𝗵𝗲 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿 𝗶𝘀 𝘂𝗻𝗳𝗼𝗿𝗴𝗶𝘃𝗶𝗻𝗴. The pace of change is not an excuse for mistakes or absence of guardrails for security and risk monitoring. But equally, regulation cannot be allowed to become a brake on speed of business. That tension demands smarter design. Enterprise orchestration doesn't need another feature update. It needs reinvention. 𝘞𝘩𝘢𝘵'𝘴 𝘵𝘩𝘦 𝘣𝘪𝘨𝘨𝘦𝘴𝘵 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯/𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸 𝘣𝘰𝘵𝘵𝘭𝘦𝘯𝘦𝘤𝘬 𝘩𝘰𝘭𝘥𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘵𝘦𝘢𝘮 𝘣𝘢𝘤𝘬 𝘳𝘪𝘨𝘩𝘵 𝘯𝘰𝘸? 𝘐'𝘥 𝘭𝘰𝘷𝘦 𝘵𝘰 𝘩𝘦𝘢𝘳 𝘪𝘵. 𝘗𝘭𝘦𝘢𝘴𝘦 𝘸𝘳𝘪𝘵𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴 𝘣𝘦𝘭𝘰𝘸.
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Neelam Dwivedi liked thisNeelam Dwivedi liked thisI had a wide-ranging conversation with Sai keerthi of YourStory Media recently covering the early-stage landscape, how we’re thinking about the AI stack, Deeptech, and what we’re looking for in founders. A few things I believe deeply: ➡️ The most durable AI opportunities aren't at the foundational layer. They're in vertical applications - granular, specific, outcome-driven. Think workers' compensation underwriting or personal injury call handling. Niche, but large. ➡️ The line between software and services is blurring fast. The best companies aren't selling tools anymore, they're delivering outcomes. AI gets you 80–90% there and a thin human-in-the-loop layer closes the gap. That model plays directly to India's strengths. ➡️ Consumer AI is scaling faster than most expected. This isn't just an enterprise story anymore. ➡️ Our investment philosophy remains deeply founder-first. We can walk in with a thesis, meet a founder doing something extraordinary, and our thesis goes out the window. That's not a bug - it's the feature. At Stellaris Venture Partners, we do few deals but go all in. Conviction over volume. Always. Full interview link in comments. Would love to hear your thoughts on where you see AI heading in India. 👇
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Neelam Dwivedi liked thisNeelam Dwivedi liked thisI was just looking at Amazon's robot.txt file (link in comments). Interesting how specific it is in explicitly disallowing not only GPTBot, ClaudeBot, and PerplexityBot, but also ChatGPT-User, Claude-User, OAI-SearchBot, Perplexity-User, GoogleAgent-Shopping, and GoogleAgent-Mariner (fyi: Mariner is Google's agent for computer use so you can instruct AI to take over your browser and complete tasks like shopping). They seem to be generally blocking user-triggered assistants and shopping/search agents, which suggests Amazon is trying to keep any and all third-party AI systems from sitting between the shopper and Amazon. Amazon wants agentic shopping, but only on its own shopping assistant Rufus. Compare that with Walmart’s robots.txt (also in the links), which is mostly a standard list of blocked paths and does not appear to name or shut out major AI crawlers. The contrast presents an intersting story about each company's strategy as it relates to AI search and agentic shopping. Amazon makes it clear that the fight is over who owns the interface for discovery, comparison, recommendation, and all the ad dollars that come with them. Walmart is building its own shopping assistant but leaving room for someone else to become the agentic shopping platform of choice.
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Neelam Dwivedi liked thisNeelam Dwivedi liked thisMany law firms assume their biggest client is their most profitable. But that’s not always true. Some clients generate high revenue but also consume more time, effort, and resources, reducing actual profitability. So the real question is: Which client is truly profitable? With LegalXgen, law firms can instantly track client profitability, billable hours, and resource utilisation, all in one place. Stop guessing. Start making data-driven decisions. #LegalTech #LawFirmManagement #LegalAnalytics #LegalOperations #LawFirmGrowth #LegalXgen
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Neelam Dwivedi liked thisNeelam Dwivedi liked thisMy next CEO Rapidfire guest shared an important lesson about navigating hypergrowth: do it slowly (more on that below). Ethan Smith is the CEO of Graphite, a boutique, AI-powered growth agency that helps clients build scalable growth engines, improve their Google rankings, and get cited by ChatGPT and other LLMs. One of his key insights was to slow down and make sure your product and systems are ready for hypergrowth well before it arrives. That way, when growth comes, you’re in a much stronger position to handle it. More thoughtful insights in our latest CEO Rapidfire Q&A. Check it out below.CEO Rapidfire: Graphite CEO Ethan Smith On Why To Focus On The Impactful 5%CEO Rapidfire: Graphite CEO Ethan Smith On Why To Focus On The Impactful 5%
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Neelam Dwivedi liked thisNeelam Dwivedi liked thisGrateful and humbled to see WalkingTree Technologies featured in SiliconIndia! This recognition is not just about what we’ve built so far—it reflects the journey of a passionate team that has consistently believed in pushing boundaries across AI, engineering, and real-world impact. We are at the beginning of a massive shift—from traditional AI to Agentic AI, where systems don’t just assist but reason, collaborate, and take action. Along with that, Agentic Engineering is emerging as a critical discipline—designing, orchestrating, and governing intelligent agents that can operate reliably in complex enterprise environments. At WalkingTree Technologies, we are deeply focused on this transformation: - Building multi-agent systems that integrate into real business workflows - Ensuring these systems are explainable, governed, and production-ready - Combining strong engineering rigor with cutting-edge AI capabilities As I shared in the feature—true innovation in AI is not about experiments alone, but about seamlessly integrating intelligence into real-world operations. A big thank you to our clients, partners, and our incredible team for trusting and contributing to this journey. We are learning every day, staying grounded, and striving to create meaningful impact. The future of AI is not just intelligent—it is agentic, autonomous, and engineered for reality. Thank you Abhilasha Sinha, Scott Seabolt, Suman Ravuri and team for keeping us ahead in this journey. Here is the link of the complete issue of this magzine: https://lnkd.in/dMrckjDv #AgenticAI #AgenticEngineering #AI #GenerativeAI #Innovation #WalkingTree #DigitalTransformation Pradeep Lavania, Aslam Khan, Mohammed Siraj Gunwan, Shahnawaz Shaikh, PMP®, Merajuddin Shaikh, Akhilesh Gupta, Ranjit Battewad, Rahul Rajendran, Mohit Mehta, Anurag Agar, Rishi Tiwari 🌟, Ashish Gautam, Siddharth Gupta
Volunteer Experience
Honors & Awards
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SME Finance Certification
Indian Institute of Banking and Finance
Sailed through SME Finance Course Certification of Indian Institute of Banking and Finance - which deals with nuances of SME Finance in India.
Organizations
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IIT Delhi Alumni Association
President, IIT Delhi Alumni Association, Bangalore Chapter
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