Latest news with #GoogleNext
Mint
03-05-2025
- Business
- Mint
AI agents are learning how to collaborate. Companies need to work with them
Developers are creating protocols to harness AI-powered agents into teams that handle everything from customer service and coding to supply chain, logistics, finance, marketing and business strategy. Companies should start planning for the next stage of artificial intelligence: the orchestration of multiple agents across their businesses. Most companies are still figuring out how to deploy even one AI-powered agent that can perform a task autonomously or in coordination with humans. But developers are creating protocols to harness these agents into teams that handle everything from customer service and coding to supply chain, logistics, finance, marketing and business strategy. Given the pace of innovation and the time it takes for organizations to adapt, companies will do themselves a favor by getting ready now for multiagent systems increasingly available later this year. Accenture's chief AI officer, Lan Guan, says only 10% to 15% of her clients currently use multiagent systems, but she expects that percentage to exceed 30% within 18 to 24 months. The professional services company has created a 15-agent system used for marketing, for example, comprising three 'super agents" that are responsible for coordinating 12 agents trained for specific tasks. It can plan a marketing campaign around a topic such as '2025 trends," conducting research, identifying similar past campaigns and addressing questions like a human would, according to Guan. All told, Accenture has more than 50 multiagent systems today for a range of industries and markets, and expects that number to hit more than 100 by the end of the year. The firm said customers such as carmaker BMW, consumer-brands company Unilever and sports giant ESPN are currently adopting these systems. Accenture last month introduced Trusted Agent Huddle, which it said allows agent-to-agent interoperability with partners such as technology companies Amazon Web Services, Google Cloud, Meta, Microsoft, Nvidia, Oracle, Salesforce, SAP and ServiceNow. Multiagent capabilities are about to become more widely available. Salesforce and Google announced at the Google Next conference in April that they were working on a protocol called A2A, or Agent-to-Agent. The protocol, which allows agents within Salesforce's Agentforce ecosystem to interact with each other as well as external agents, focuses on areas such as authentication, identification and message passing, according to Gary Lerhaupt, vice president of product architecture for Agentforce. Work is under way with partners to develop prototype multiagents using A2A, he said. Keyway, a commercial real-estate tech startup based in New York, provides a glimpse into how the concept works in practice, according to co-founder and Chief Executive Matias Recchia. It offers asset managers and property managers a multiagent platform that uses coordinated interactions to address questions such as how to price a rental property or target amenities and incentives. The company has raised $45 million from investors including Canvas Ventures, Camber Creek and Thomvest. While Keyway's agents are specialized and can trigger each other through structured workflows, the company said, they still operate in a controlled, predefined sequence that requires human oversight such as setting prompts, reviewing outputs and supervising decisions. A true multiagent system, Recchia said, involves agents that dynamically reason, negotiate or collaborate in real time without requiring human-defined workflows, explicit prompts or manual coordination. In other words, the agents take initiative, adapt to new information and interact fluidly with other agents without waiting for human instruction. Companies can start to prepare for multiagents systems simply by creating standard, stand-alone agents. Once the proper protocols are ready, companies can orchestrate these agents into tackling complex, collaborative systems. Principle Financial Group has embedded individual AI agents across domains including software engineering co-pilots , claims summarization and post-call analytics, according to Chief Information Officer Kathy Kay. They largely operate within defined scopes, but the investment management and insurance company is actively building the technical foundation to support agent-to-agent collaboration, Kay said. That means developing data pipelines and governance models . Workflows will also have to evolve to accommodate real-time collaboration between humans and intelligent, adaptive AI systems, she said. Kay foresees strong potential for the use of multiagent systems in retirement services such as rollover optimization. In asset management, she expects multiagents to analyze unstructured market data, generate investment narratives and align findings across portfolios. Other uses include earnings call preparation, contact center intelligence and claims adjudication. 'These are not isolated functions," Kay said. 'They are systems of tasks that, when connected through intelligent agents, can drive faster insights and better outcomes across the enterprise." Write to Steven Rosenbush at
Business Upturn
22-04-2025
- Business
- Business Upturn
Incorta Introduces Intelligent Accounts Payable Agent for Google Cloud's Agentspace, Supports New A2A Protocol for Cross-Agent Collaboration
FOSTER CITY, Calif., April 22, 2025 (GLOBE NEWSWIRE) — Incorta , the pioneering open data delivery platform, was featured in Google Next's keynote, where it announced the launch of the Incorta AP Agent, an AI-powered solution that transforms accounts payable workflows with real-time operational insights and automation. Built for Google Cloud's Agentspace, the Incorta AP Agent marks a major leap forward in finance modernization—combining natural language querying, ERP data integration, and intelligent automation to dramatically enhance control, compliance, and efficiency for enterprise AP teams. At the same time, Incorta is proud to be an early partner supporting Google Cloud's newly introduced Agent-to-Agent (A2A) protocol , a first-of-its-kind open standard that enables AI agents to securely collaborate across enterprise systems and vendors. 'Businesses today don't just need better data, they need the ability to act on that data instantly,' said Osama Elkady, CEO and co-founder of Incorta. 'With the AP Agent and support for A2A, we're helping customers unlock the full potential of agentic AI, moving beyond dashboards into a future where enterprise workflows are truly intelligent, connected, and automated.' Meet the Incorta AP Agent: Smarter Finance Starts Here The Incorta AP Agent eliminates bottlenecks from fragmented systems and manual invoice processing by delivering direct access to ERP data through conversational AI. Finance teams can now detect errors instantly, automate compliance actions, and reclaim time for strategic initiatives. Key Benefits: Real-Time Error Detection Identifies pricing discrepancies instantly using AI and ERP data. Identifies pricing discrepancies instantly using AI and ERP data. Conversational Data Access Enables natural language queries without technical skills. Enables natural language queries without technical skills. Enhanced Financial Control Automatically places invoice holds to enforce contract compliance. Automatically places invoice holds to enforce contract compliance. Increased Operational Efficiency Frees AP teams from repetitive tasks, shifting focus to strategic initiatives. Under the hood, the Incorta AP Agent leverages Incorta's Direct Data Mapping®, ensuring secure, source-identical data is always accessible, always current, and always analytics-ready. Scaling Intelligence Across the Enterprise with A2A To support broader enterprise automation, Incorta is also among the first partners backing Agent2Agent (A2A)—a new open protocol from Google Cloud that enables AI agents to securely communicate, coordinate, and collaborate, regardless of vendor or platform. A2A represents a shared industry vision for interoperable AI. By allowing agents to dynamically discover capabilities, share context, and delegate tasks, the protocol accelerates complex, multi-agent enterprise workflows. 'Incorta is excited to support A2A and advance agent communication for customers, making the future of enterprise automation smarter, faster, and truly data-driven,' added Elkady. The combination of Incorta's intelligent agents and A2A's interoperability empowers customers to orchestrate smarter decision-making and automation across functions, starting with AP and expanding to procurement, finance, supply chain, and beyond. About Incorta Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit Media Relations Contact: Elizabeth Byington [email protected] Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same.
Yahoo
10-04-2025
- Business
- Yahoo
Vurvey Labs Announces Autonomous Workflows: Your Engine For Continuous Innovation
LAS VEGAS, April 10, 2025 /PRNewswire/ -- Enterprises are under increasing pressure to innovate continuously—without relying on manual research or constant meetings. That is why today Vurvey Labs announced the launch of new Autonomous Workflows, powered by a cutting edge 2a Model. This breakthrough launch enables autonomous AI agents to execute enterprise workflows around the clock. Building on the agentic foundations introduced at Google Next, these continuous workflows unlock a new level of scalability, allowing organizations to systematize complex, cross-functional tasks that were previously too costly or resource-intensive to sustain with human teams alone. "Most teams still use AI as a tool for reactive tasks—answering questions or generating content," said Chad Reynolds, CEO of Vurvey Labs. "With Autonomous Workflows, we're introducing agents that operate 24/7, collaborating and executing complex tasks without human intervention. It's like having hundreds of teams working continuously on your behalf—unlocking a new level of speed, scale, and strategic advantage." Across industries, Vurvey's AI workflows have already become mission-critical for unlocking faster, more strategic decision-making. Hundreds of workflows are already in production across our Fortune 500 enterprise customers, helping to automate essential business functions through continuous, intelligent operations. Autonomous Workflows Enables Agents to Run: Continuous innovation pipelines, run daily, weekly or monthly to track emerging trends, synthesize insights, and surface new product opportunities 24/7 competitive audits, where agents monitor reviews, launches, and messaging—no consultants required. Always-on strategic planning, generating GTM strategies and scenario models from hundreds of internal and external variables. Real-time trend discovery, such as a Fortune 500 self-care brand that cut research costs by 65% and sped up insights by 20x by automating social media tracking across TikTok, Instagram, and YouTube. Each workflow begins with a business objective. From there, the system dynamically generates smaller subgoals, designs and deploys specific AI agents, assigns tasks, selects appropriate data sources or tools, and runs autonomously. Users can customize any part of the workflow, or simply hit 'go'. Insights are delivered in minutes—not weeks. "You no longer need to choreograph every step," said Eric Poff, CTO of Vurvey Labs. "Our new 2a Model for Workflows removes the friction. You set the goal, and the system builds, runs, and adapts on its own." The platform introduces several foundational advancements: Autonomous Data Collection, enabling agents to gather and evaluate live data across enterprise systems, public channels, and uploaded files Automated Agent Creation, with tailored workflows generated instantly from just a single input Self-Monitoring Feedback Loops, including built-in safety checks and human-in-the-loop oversight to ensure transparency and trust Visual Agent Mapping, replacing slide decks with real-time views of how agents collaborate, share reasoning, and flow data As more organizations shift to AI-first strategies, Vurvey believes agents will become essential parts of the org chart. Treated like teammates, not tools. Workflows 2a is designed to meet that future head-on, offering a flexible, transparent system for building and scaling autonomous capabilities across research, strategy, and innovation. "This isn't just streamlining," said Sarah Nagle, Head of AI Strategy at Vurvey Labs. "We're helping companies build capabilities that operate continuously, intelligently, and independently. It's a new class of infrastructure for the AI-native enterprise." Autonomous Workflows powered by our 2a Model are now available to select enterprise customers. To design your first autonomous capability or learn more, visit About Vurvey Labs Vurvey Labs is built upon an AI Powered by People™ systems that unlock the creative and strategic potential of modern teams. From research to go-to-market, Vurvey redefines how insight powers innovation—faster, smarter, and more connected than ever. Media Contact ksizemore@ | @vurveylabs View original content to download multimedia: SOURCE Vurvey Labs
