
JAGGAER Appoints Gopinath Polavarapu As Its Inaugural CDAO
JAGGAER has announce the appointment of Gopinath 'GP' Polavarapu to Chief Digital and AI Officer (CDAO). GP will not only guide but accelerate AI strategy delivering JAGGAER's objective to embed intelligence for a hyper-automated, conversational, and collaborative platform that enhances human decision-making and accelerates business outcomes.
In the new role as CDAO, GP will contribute to JAGGAER's end-to-end AI roadmap, encompassing Agentic AI for the JAGGAER One Platform and internal employee productivity while building AI capacity with talent acquisition, an AI Center of Excellence, and a hub for AI thought leadership. GP brings with him a wealth of experience in enterprise AI solutions, most recently as the Chief Solutions Officer at Kore.ai, and will collaborate with the Chief Product Officer, Jon Lawrence, and Chief Strategic Officer, Pascal d'Arc, to lead the JAGGAER AI transformation initiative.
With a passion for technology and innovation, GP also enjoys mentoring emerging AI talent and has a deep commitment to driving transformative business change through the power of artificial intelligence.
'I'm honored to join JAGGAER's exceptional team as Chief Digital and AI Officer,' said Gopinath Polavarapu. 'By embedding fine-tuned LLMs, AI Agents and Agentic workflows into the JAGGAER One platform, we will automate spend analysis, contract intelligence, and invoice processing, transforming data into real-time autonomous actions and process automation for spend management. I look forward to working with JAGGAER, our leadership team, and our customers to reinforce JAGGAER's position as the premier vertical AI spend management provider, delivering unmatched efficiency, compliance, and cost savings.'
'While JAGGAER has been leading with AI offerings in the procurement market for years, the addition of GP as our Chief Digital & AI Officer will foster even faster innovation through generational technological transformation. Each member of JAGGAER's leadership team was selected for their unique background and talent to contribute to customer success, and GP is no exception in this regard. The last five years will certainly not be the same as the next five years, and we welcome fresh perspectives to steward us through our next phase of growth with Agentic AI.' said Yancey Spruill, Interim JAGGAER CEO and Operating Managing Director at Vista Equity Partners.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Khaleej Times
2 days ago
- Khaleej Times
Would you let an AI agent decide your crypto strategy?
As I've moved further into crypto, I've finally started to understand digi-currency humour. There's so much I don't grasp in this space that it's a noteworthy triumph. My favourite giggle of late comes from a meme featuring a therapist and patient, captioned: 'Is the AI agent in the room with us now?' People keep saying that artificial intelligence (AI) agents are one of the narratives of the upcoming — supposedly — crypto bull run. I'm still not sure I understand any of it, but I'm going to give it a try. So, what is an AI agent? In simple terms, AI agents are autonomous systems running on software that can perceive their environment, process information, make decisions, and take actions to achieve specific goals – often on behalf of a human, company, or industry. Unlike static, pre-programmed traditional software, AI agents are adaptive. Like humans — eek! — they evolve through learning and experience. Like clockwork Think Siri or Alexa, but on steroids. An AI agent doesn't just remind you to buy groceries — it actually orders them each week. It would go beyond suggesting investments to rebalancing your portfolio. I suppose one could manage that tiresome school WhatsApp chain for you too. In business, AI agents are already proving useful in everything from customer service and supply chain management to IT support and risk analysis. The next frontier? AI agents working with other AI agents. This emerging area — called multi-agent systems, agent-to-agent collaboration, or more dramatically, a swarm — involves coordinated networks of AI entities completing tasks together, often without human intervention. Yikes is right. And while most people are getting used to this new way of things through mainstream tools like Anthropic's Claude or Microsoft's Co-Pilot, radical innovation is happening in the decentralised world, too, away from traditional tech. And that's why I am starting to believe that when it comes investing in this new space, tokenised AI projects are where it's at. It's really interesting and, like everything in crypto, very speculative. Once you start exploring this space, you'll find everything from productivity agents to niche AI-driven trading bots. I've already experimented with (and immediately lost money) investing in transaction-based projects like SoloChain and The SWARM, from CryptoSlam. Projects like ai16z use agents to make real-time investment decisions. On Solana, Goatseus Maximus offers what is considered the first AI-managed venture capital platform. Virtuals Protocol provides a platform for developers to create and deploy AI agents across various Web3 applications. Bittensor offers an entire decentralised marketplace for AI models, built on its very own blockchain. One of the buzziest new players is a trading assistant called MIND of Pepe, which has been trained on more than 60,000 crypto tweets and 3,000 market insights, according to The Cryptonomist. Of course, aside from investing, we all still need to get over the biggest hurdle in adopting AI agents, especially for financial or high-stakes tasks. And that is trust. Will the agent do what it's supposed to? Safely and securely? What could go wrong with a swarm? I'm sure you are feeling a tonne of resistance. I am too. But the truth is, we are already using AI agents as they become integrated into almost everything we do. Over the past few weeks, I've been working with Underlord, a new AI tool from the editing platform Descript. It's been helping me produce the Hotflash inc podcast — removing filler words, laying music under ads, adding in sound effects as quickly as I can write 'add a whoosh sound here', and, when I get around to it, adding B-roll and graphics to video. I just have to type in what I need it to do, and it does it. I can refine and correct as needed. It's genuinely next-level. I'm already wondering how much more smoothly my platform would run, swarm-style, if Underlord could talk with a counterpart connected to my YouTube, Instagram, and Substack accounts. Market share One thing is for sure: there is not only a productivity leap here but also huge market potential. According to citing Bitget CEO Gracy Chen, tokens tied to AI agents are expected to grow from $15 billion to $60 billion (Dh55 billion to Dh220 billion) in market capitalisation this year alone. My take here is, feel the fear and do it anyway. Every generation has its technological reckoning. The printing press. The combustion engine. The telephone. The Internet. Smartphones. AI agents are just what's next. Like all that came before, they're arriving whether we're ready or not. I'm not here to tell you to invest. I'm suggesting that it's time to understand where this innovation is happening, who's building it — and how we might thoughtfully participate. If only there was an AI agent for that.


Channel Post MEA
4 days ago
- Channel Post MEA
JAGGAER Unveils AI Copilot For Procurement Transformation
JAGGAER has introduced to customers and partners its latest bold leap forward in enterprise procurement transformation. JAI, pronounced 'Jay', an intelligent human-guided AI orchestrator, provides next-level guidance and navigation, but also offers a critical opportunity to deliver new value. JAI is more than an assistant; JAI is an insightful partner for procurement teams. As agentic AI is beginning to reshape global commerce, JAGGAER has reimagined the relationship between procurement and technology. JAI is part of JAGGAER One and an evolution of JAGGAER Assist. JAI is an embedded conversational chatbot powered by LLMs, incorporating Q&A capabilities, PO invoice anomaly detection and Gen AI drafting & summarization with new, more powerful orchestration. With JAI customers will experience intuitive and efficient end-user experiences across the platform – all with an equally important 'Human in the Loop'. JAGGAER customers can start using JAI Assist today, a conversational assistant with contextual coaching that streamlines procurement by answering questions, guiding navigation, and initiating tasks like RFP creation and supplier evaluation. Looking further ahead into 2025, JAI Copilot will offer advanced contextual support, identifying outliers and suggesting actions, with real-time guidance across sourcing, contracting, and supplier management saving hours of analysis – followed by JAI Autopilot, the no code/low code agentic platform for autonomously managing complex procurement workflows to elevate strategic decision-making. This pragmatic evolution offers JAGGAER customers speed and scale they can trust. While previous releases delivered self-service help, knowledge retrieval, and the ability to trigger workflows using natural language, JAGGAER is taking AI capabilities a step further. Beginning this fall, JAI will offer the full orchestration of intelligent features by developing agent orchestrators to handle tasks like forecasting, spend management, cash flow management, contract management, and RFx automation, into a unified, conversational, and outcome-driven experience. JAI has been designed to revolutionize how users engage, decide, and deliver outcomes. While to date AI agents have been mainly able to execute tasks such as PO match and supplier outreach end-to-end, JAI is able to orchestrate those agents in copilot mode with its human users, toward a business goal. JAI thus is a trusted digital advisor that coordinates across domain agents—be it sourcing, contracting, or category strategy. The JAGGAER AI roadmap sees JAI evolve into an autopilot, enabling truly autonomous procurement thanks to their ability to execute adaptive as well as deterministic workflows independently, while users act as high-level overseers and decision-makers. 'Today, we're not launching a feature—we're activating the intelligence foundation for JAGGAER's future', says Jon Lawrence, Chief Product Officer at JAGGAER. 'This isn't about adding AI to procurement. It's about transforming procurement into an intelligent system—one that learns, adapts, and gets better with every decision. JAI is how we'll scale expertise, accelerate outcomes, and unlock a new era of value for our customers.' Customers are invited to reach out JAGGAER to be part of this revolution and join the Early Access program for co-innovation.


Zawya
4 days ago
- Zawya
Salesforce launches Agentforce 3 to solve the biggest blockers to scaling AI agents: Visibility and control
New Agentforce Command Center provides a complete observability solution for optimizing AI agents — enabling leaders to manage, track, and scale how AI agent activity enhances human productivity Agentforce 3 enables seamless agent interoperability with built-in support for open standards like Model Context Protocol (MCP). Through the expanded AgentExchange, customers will be able to access plug-and-play services from over 30 partners including AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER, and more Agentforce 3 delivers an updated Atlas architecture — from reasoning, to performance, to trust — for unmatched enterprise readiness, including lower latency, greater accuracy, enhanced resiliency, and support for natively hosted LLMs such as Anthropic UAE - Salesforce (NYSE: CRM), the world's #1 AI CRM, has announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise. As enterprise adoption accelerates, the real blocker has become clear: teams can't see what agents are doing — or evolve them fast enough. Agentforce 3 changes that. Built on learnings from thousands of Agentforce deployments since its initial launch in October 2024, Agentforce has helped customers deliver undeniable value. Agentforce 3 equips leaders to monitor, improve, and scale their AI workforce with confidence. With a new Command Center for complete observability, built-in support for Model Context Protocol (MCP) for plug-and-play interoperability, and over 100 new prebuilt industry actions to speed time to value, Agentforce 3 helps companies scale what works, fix what doesn't, and unlock the full potential of agentic AI — with clarity, control, and speed. Why it Matters: AI agent adoption is surging. According to a soon to be released Slack Workflow Index, AI agent usage is up 233% in six months, and over that same period, 8,000 customers have signed up to deploy Agentforce. But until now, agent platforms have lacked the tooling, governance, and observability needed to scale enterprise-wide. Agentforce 3 closes this gap — delivering the complete visibility, secure tool integration, and enterprise-grade controls organizations need to make agent velocity their competitive advantage. 'With Agentforce, we've unified agents, data, apps, and metadata to create a digital labor platform, helping thousands of companies realize the promise of agentic AI today,' said Adam Evans, EVP & GM of Salesforce AI. 'Over the past several months we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation.' Agentforce Command Center — Monitor, Measure, and Optimize Your AI Agents: As AI agents take on routine tasks and begin collaborating more closely with human teammates, teams need a new observability layer built for the era of digital labor. Agentforce Command Center is that layer: a complete observability solution that gives leaders a unified pane of glass to monitor agent health, measure performance, and optimize outcomes. Built into Agentforce Studio, it completes the agent lifecycle with powerful tools to understand and refine agents at scale. Uncover patterns across interactions to optimize your agents: Command Center empowers teams to analyze every AI agent interaction, drill into specific moments, understand trends in usage, and see AI-powered recommendations for tagged conversation types to continuously improve your Agentforce. Track agent health and intervene in real time: Get live, detailed analytics for latency, escalation frequency, and error rates, plus real-time alerts when the unexpected happens, so teams can act fast and keep agents running smoothly. Understand what's working, and where to improve: Command Center offers detailed dashboards that track agent adoption, feedback, success rates, cost, and topic performance — so teams can see what's gaining traction and where to improve. See what your agents are doing — in the tools your teams already use: Agentforce captures all agent activity in a native, extensible session-tracing data model in Data Cloud — powering analytics, monitoring, and real-time alerting. Built on the OpenTelemetry standard, these agent signals integrate seamlessly with tools your teams already use, including Datadog, Splunk, Wayfound, and other monitoring partners for end-to-end visibility across your existing stack. Deliver a configurable Command Center for every team: Monitor AI agents alongside human teammates — right in the flow of work. Starting with Service Cloud, agent activity will surface in real-time wallboards so contact center supervisors can track performance and escalate fast. And over time, every department will have a Command Center purpose-built for optimizing their agents. Build and test agents fast with AI-assisted development tools: In Agentforce Studio, use natural language to generate topics, instructions, and test cases. Testing Center simulates behavior at scale with state injection and AI-driven evals — so you can pressure-test your agents before going live. Enabling Secure Enterprise Connectivity with MCP and A2A Support: AI agents can't drive impact if they can't take action using the tools your business relies on. As open standards like Model Context Protocol (MCP) gain traction, they bring new opportunities for interoperability, but also challenges around governance, identity, and control. Agentforce 3 solves this by pairing open connectivity with enterprise-grade trust — giving agents native access to the tools they need, without compromising on control. MCP support built natively into Agentforce: Agentforce will include a native MCP client, enabling Agentforce agents to connect to any MCP-compliant server — no custom code required. Like a 'USB-C for AI,' this enables access to enterprise tools, prompts, and resources — governed by your existing security policies. Turn APIs into MCP servers instantly with MuleSoft: Leveraging new MCP connectors, MuleSoft converts any API and integration into an agent-ready asset, complete with security policies, activity tracing, and traffic controls — empowering teams to orchestrate and govern multi-agent workflows. Easily host and manage custom MCP servers with Heroku: Heroku Managed Inference and AppLink make it fast and easy to deploy, register, maintain, and connect your custom MCP servers. With Heroku's secure infrastructure and DevOps automation, developers can bring trusted custom actions to Agentforce with less friction. Expanding the AgentExchange — a Leading AI Agent Ecosystem — to Make Agent-First Tools Easy to Discover and Use: As organizations embed AI agents across their teams, AgentExchange already makes it easy to equip them with the trusted tools they need to drive value fast with partner-built agent actions and templates. Now, customers will be able to discover MCP servers from 30+ partners that provide trusted access to new third-party tools and resources and seamlessly connect them to Agentforce through a secure AI agent gateway. Launch MCP partners include AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER and more. Customers will be able to leverage MCP Servers through AgentExchange from leading partners, including: AWS: Agentforce will enable agents to unlock critical insights from vast repositories of unstructured data stored on AWS, leveraging a suite of MCP servers such as the Amazon Bedrock Data Automation MCP Server and Amazon Nova Canvas MCP Server. This will allow Agentforce to intelligently process and summarize documents, extract key information from images, transcribe and analyze audio recordings, identify crucial moments in video files, query enterprise knowledge bases, perform semantic code repository searches, and interact with databases through natural language interfaces via Aurora PostgreSQL/MySQL MCP Servers — all enhancing customer service, compliance checks, and operational reporting. Box: Agentforce can help retrieve the latest signed NDA from a Box MCP service, including a summary of key terms. Agentforce can then post a Slack update to the relevant teams that includes the AI summarization, the contract in PDF form, and recommended next steps. Google Cloud: Customers can unlock new Agentforce use cases by connecting to key Google and Google Cloud services via MCP. For example, developers will be able to seamlessly connect Agentforce to the Google Maps Platform and generative AI models like Veo, Chirp, Imagen, and Lyria, while also enabling agentic interactions with Google Cloud Databases. This can enable Agenforce actions that span location-based services, creative AI, and transactional data. PayPal: Customers can now power a full range of agentic commerce capabilities by connecting Agentforce to PayPal's MCP server. They can list products, place orders, process payments, dispute claims, track shipping, manage subscriptions, issue refunds, and more with PayPal, making integrations simple and easy. Stripe: Agentforce enables AI agents to directly handle a wide range of Stripe functionalities via its MCP server, including real-time product lookups, quick payment link generation, subscription setup, and faster dispute management. WRITER: Through a secure connection to WRITER's MCP server, Agentforce can call WRITER's enterprise-grade AI agents to automate content generation, knowledge retrieval, and compliance checks all within Salesforce workflows. Enhancing the Agentforce Architecture for Unmatched Enterprise Readiness: Underpinning every new capability in Agentforce 3 is an enhanced Atlas architecture, providing an enterprise-ready foundation through lower latency, greater accuracy, global availability, and additional options for control through new LLMs hosted on Salesforce infrastructure. Expanded LLM choice with hosted Anthropic: Agentforce can now use Anthropic's Claude Sonnet model hosted via Amazon Bedrock within the Salesforce trust boundary to meet the needs of customers in high compliance industries. As part of this expanded relationship, Anthropic will work with Salesforce to empower customers in regulated industries to scale Agentforce adoption with Claude. Later this year, Salesforce will also allow customers to use Google's Gemini in Agentforce, solidifying Agentforce's position as the leader in trusted, flexible AI agents. Faster performance and response streaming: Experience a more responsive Agentforce with 50% lower latency since January 2025. Response streaming is also generally available in this release, so users can see answers appear in real time. Greater accuracy through web search, inline citations: Agentforce 3 features trusted, expanded grounding through the addition of web search as a data source, allowing agents to go beyond internal data to answer requests as well as inline citations that provide references to the grounding sources used in responses. More languages, more geographies: Agentforce 3 features an expanded global footprint, deploying to Canada, the U.K., India, Japan, and Brazil to serve AI agent traffic within those regions. This release also adds GA support for six new languages, including French, Italian, German, Spanish, Japanese, and Portuguese — with more than 30 additional languages rolling out in the coming months. Enhanced resiliency with automatic model failover: To ensure agents are always on, Agentforce now enables automatic, latency-based failover — dynamically shifting traffic between model providers in case of performance degradation or outages. Bringing Agentforce to Public Sector customers with FedRAMP High Authorization: Agentforce is now authorized and generally available in Government Cloud Plus, which enables public sector customers to bring Agentforce to their missions with the highest standards of trust, security, and compliance. Unmatched Industry Readiness Out-of-the-Box Delivers the Fastest Path to Value from AI Agents: Agentforce customers in every industry can deliver value from AI agents fast through more than 200 pre-built industry actions — half of them new this summer — from patient scheduling, to advertising proposal generation, to vehicle servicing, and more. Agentforce 3 also introduces simplified, flexible pricing with new Agentforce for Sales, Service, and Industry Cloud SKUs with per-user pricing and unlimited usage of actions for employee-facing agents to help teams get started fast and scale boldly. Deploy and Scale Agentforce with Confidence Through Trusted Experts: The Salesforce partner ecosystem, including Accenture, Deloitte Digital, NeuraFlash, PwC, and more, has aided customers across thousands of Agentforce deployments, providing 272,000 certified specialists to deliver strategic guidance and facilitate the successful activation of AI agents that help drive business impact while maintaining governance. Available Today: Agentforce 3 Agentforce adoption analytics Testing Center enhancements 100+ new, pre-built industry actions New Agentforce add-on SKUs with unlimited employee action usage Heroku managed MCP server hosting Increased speed and response streaming Web Search for Agentforce Data Libraries Agentforce for Government Cloud Plus with FedRAMP High authorization Expanded global availability (Canada, U.K., India, Japan, Brazil) and language support (French, Italian, German, Spanish, Japanese, Portuguese) In Pilot or Beta Today: Anthropic Claude models hosted within the Salesforce trust boundary — generally available in July MuleSoft MCP and A2A support — generally available in July Heroku AppLink — generally available in July Session Tracing Data Model — generally available in August Agent health monitoring — generally available in August To Be Released Soon: Agentforce native MCP support – July Agentforce Command Center and Agentforce Studio app – August About Salesforce Salesforce empowers companies of every size and industry to connect with their customers in a whole new way through the power of AI + data + CRM.