Divya Kandikatti

AI & LLM-based agents are *just* starting to become part of scaled production pieces of enterprise architectures. But the most impactful place that agent-based assistance is landing is with developers and the use of assistive AI technologies. At MuleSoft, we launched our first NLP-based generative technologies last year with our generative apps capabilities. We enhanced it this year with generative API design, documentation and data transformations. But it wasn't really the full experience we wanted. Today, we bring all of those capabilities together, alongside 25+ other skills to launch the MuleSoft Dev Agent. Free to all customers, our Dev Agent brings a fully-native vibe coding experience for nearly the entire MuleSoft platform. Read more here: https://lnkd.in/dzfD23Qu Our Dev Agent enables users to complete an end-to-end journey of creating, enhancing and maintaining all integrations & APIs on the MuleSoft platform. But more than just creating it, it enables interaction with the rest of the platform. For customers trying it today, try asking the Dev Agent: ① What are my most re-used APIs? ② What are my most high traffic APIs? ③ Do I have any integrations between Salesforce and (whatever service you use)? Because we have enabled so many of our existing services with MCP-based access to our platform services, the Dev Agent is the place to interact with the entire platform. Even more, I can't wait for customers to see what new skills we're launching over the next 2 months as we lead in the modern developer experience.

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Yesterday, I had the opportunity to attend the ServiceNow AI Summit Bengaluru, and it was an insightful deep dive into how AI is shaping the future of enterprise productivity. One key theme stood out: AI’s true potential lies in augmenting human work - allowing people to focus on more strategic, high-value tasks. Here are my top takeaways from the event: 🔹 Unlocking AI’s potential: Enterprises can derive significant value from AI when three critical elements come together: AI Agents + Data + Workflows AI Agents: Unlike traditional chatbots, AI agents can autonomously perform tasks while keeping a "human-in-the-loop." The potential is immense—these agents can identify incidents, run diagnostics, suggest next-best actions, and communicate with users in a seamless, orchestrated manner. ServiceNow’s upcoming Yokohama release will introduce 50+ out-of-the-box AI agents along with an AI Agent Orchestrator and AI Agent Studio for customization. Data: ServiceNow’s workflow data fabric and zero-copy data approach (in collaboration with platforms like Snowflake) will enable AI to act on real-time, accurate information - driving better insights and outcomes. Workflows: With workflows natively built on the ServiceNow platform, AI agents can autonomously manage entire processes, paving the way for increased operational efficiency. 🔹 ServiceNow’s growing CRM ambitions A particularly interesting discussion was around ServiceNow’s positioning in the CRM market. While still evolving, it’s clear that the company is making strategic moves to leapfrog into the space. With ServiceNow’s core strengths in workflows and automation, it will be fascinating to see how the CRM landscape shifts as they expand their footprint. 🔹 Winning in the Age of AI: Culture over technology One of the most thought-provoking moments was listening to Ravi Venkatesan share insights on thriving in an AI-driven world. His key message? 🗝️ “The rate-determining factor is CULTURE - not AI itself.” For organizations to truly win with AI, fostering the right culture will be far more critical than just deploying the latest technology. ❓ What’s next? Key questions for enterprises & service providers As AI adoption accelerates, a few key questions stand out: 🔹 How can enterprises maximize the real value of AI investments? What strategies should they adopt to ensure sustainable, ROI-driven AI deployment? 🔹 How will ServiceNow support enterprises in operationalizing AI? 🔹 What role will service providers play in the AI era? How will their responsibilities evolve beyond traditional implementation? The future of AI in the enterprise is evolving, and it will be exciting to see how organizations harness this transformation for tangible impact. Would love to hear your thoughts—how do you see AI reshaping enterprise workflows and productivity? Yugal Joshi | Shirley Hung | Vignesh | A S Yamohiadeen | Prateek | Vinisha | Shivam | Aditya #EverestGroup #ServiceNow #PUTAITOWORKFORPEOPLE

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Only good things come from technical architects getting together to paint the future-right-now of "Buy AND Build" for the software world 🤩. I spoke with my fellow nerds Benjamin Rust and David Baliles yesterday at Salesforce Tower - Atlanta to show how combining the strong foundation of Salesforce with the infinite extension of Heroku 2.0 yields a remarkable duo: ✅ Enterprise AI in 60 seconds (mouse clicks OR code) ✅ Secure and compliant out of the box ✅ Extend with code in any language ❌ Kubernetes configuration ❌ Infrastructure as code ❌ Vendor lock-in Salesforce can do that? Yes, with Heroku. https://lnkd.in/edicNGAJ

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