Agentic AI Platforms Launch for Business Workflows
Multiple companies have launched new agentic AI platforms aimed at automating complex business workflows. XBP Global unveiled a hyper-automation platform for intelligent execution in enterprise systems, while Ramco Systems launched Chia, an AI agent capable of handling multistep customer support tasks and integrating with legacy financial and insurance systems. Additionally, Selfotix released 'Self Agent' for no-code web automation, and CognyX AI launched Chatbix.AI, a no-code platform for building customer support agents.
- Ramco's Chia agent uses a no-code "AI Agent Foundry" that allows customer experience teams to design and deploy AI agents using plain English, avoiding the need for engineering cycles. This platform translates natural language instructions into deterministic, action-taking AI behavior to prevent hallucinations. Ramco piloted Chia internally to address its own customer and employee support issues before releasing it as part of its rTask automation suite. - XBP Global's hyper-automation platform is designed to move beyond simple task automation to a model of "intelligent execution." The company, with a market cap of approximately $93.43 million, focuses on integrating agentic AI with human oversight to manage decisions and exceptions in enterprise workflows. XBP Global serves over 2,500 clients, including more than 60 Fortune 100 companies, across 20 countries. - The rise of no-code platforms like Chatbix.AI and Self Agent is part of a broader trend democratizing AI development. The global no-code AI platforms market was estimated at over $4 billion in 2024 and is projected to grow to over $44 billion by 2033, with a compound annual growth rate of over 30%. North America holds the largest market share, at over 39%. - Selfotix's 'Self Agent' operates directly in the browser and turns plain-language descriptions of tasks into complete web automation workflows without requiring any coding or knowledge of CSS selectors. This approach emphasizes privacy by keeping user data on the device. - The shift to agentic AI represents a move from "assistive" AI, like chatbots, to "autonomous" systems that can independently plan and execute complex tasks. Gartner predicts that by 2026, 40% of enterprise applications will have role-specific AI agents embedded within them, a significant increase from less than 5% today. - For developers and technical founders in the NYC startup scene, companies like Beacon Health (YC W26) are building AI agents for specific verticals like primary care, automating workflows directly within electronic health records. New York is an emerging hub for AI startups, with 71% of them focused on AI applications and 35 AI unicorns that have raised a collective $17 billion. - The development of agentic AI is supported by frameworks and tools like LangChain, AutoGen, and Microsoft AutoGen for multi-agent orchestration, as well as platforms like Voiceflow and Google Dialogflow CX for creating voice-enabled agents. For engineers building on the side, no-code and low-code tools like n8n and Zapier are increasingly incorporating agentic capabilities. - From a venture capital perspective, one in four funds that closed in 2023 had a stated focus on AI. In New York, firms like Lux Capital are actively investing in early-stage AI companies, including those in the generative AI space like RunwayML. The city is home to over 2,000 AI companies and saw $21.4 billion in VC funding for AI from 2018-2022.
