{"id":43332,"date":"2026-02-17T22:00:00","date_gmt":"2026-02-17T22:00:00","guid":{"rendered":"http:\/\/www.prnasia.com\/story\/archive\/4889281_AE89281_0"},"modified":"2026-02-17T22:00:00","modified_gmt":"2026-02-17T22:00:00","slug":"ramco-systems-introduces-chia-an-enterprise-grade-conversational-ai-agent-for-better-customer-experience","status":"publish","type":"post","link":"https:\/\/transmediavictoria.net.au\/?p=43332","title":{"rendered":"Ramco Systems Introduces Chia, an Enterprise-Grade Conversational AI Agent for Better Customer Experience"},"content":{"rendered":"
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CHENNAI, India<\/span>, Feb. 18, 2026<\/span> \/PRNewswire\/ — Global enterprise software company Ramco Systems<\/a><\/b> today announced its entry into the Agentic AI product segment with the launch of Chia<\/a>, a conversational AI agent platform designed to redefine how enterprises engage with their customers. Chia is purpose-built for enterprises to reliably automate complex customer support interactions, reducing manual effort, response times, and operating costs, enabling businesses to deliver superior customer experiences at scale.<\/p>\n

\"Chia<\/a>
Chia helps enterprises automate complex customer support interactions with reliability and scale, reducing manual effort and response times while improving overall customer experience.<\/span> <\/div>\n

Part of Ramco’s new AI-driven task automation suite, rTask, Chia delivers enterprise\u2013grade conversational Agents that goes beyond answering queries to reason, decide, and act<\/b>, executing end-to-end workflows across enterprise systems. This platform empowers organizations to shift from ‘human-in-the-loop’ support models to a future of exception-based human involvement<\/b>, where AI handles the heavy lifting. Chia does this by executing multi-step backend actions to resolve customer requests, integrating seamlessly with enterprise systems all while operating within defined goals, compliance policies, and guardrails.<\/p>\n

At the heart of Chia is a no-code AI Agent Foundry<\/b> that enables CX teams to design, configure, and deploy AI Agents using plain English instructions, without waiting for engineering cycles.<\/p>\n

With Natural Language Workflow (NLW) capabilities, non-engineering teams can define AI logic such as refund eligibility, booking validations, or policy enforcement in simple English. The system then translates these rules into deterministic, action-taking AI behaviour, thereby preventing hallucinations. Organizations can deploy their first AI Agent in weeks<\/b>, significantly accelerating time-to-value.<\/p>\n

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Key features of Chia include:<\/span><\/p>\n<\/td>\n

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Some of the industries that can benefit from Chia
include:<\/span><\/p>\n<\/td>\n<\/tr>\n

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  • Natural Language Workflow Builder:<\/b> Design and
    update AI logics using plain English\n<\/li>\n
  • Multi\u2011Step Workflow Orchestration:<\/b> Manage and
    orchestrate multiple, specialized AI agents for
    complex, multi-step workflows\n<\/li>\n
  • Omni\u2011Channel Conversational Presence:<\/b> Engage
    users across email, chat, and messaging channels\n<\/li>\n
  • Real\u2011Time System Integrations: <\/b>Secure, real-time
    connectivity with enterprise systems (CRM, ERP,
    ITSM, HRIS) to execute tasks\n<\/li>\n
  • Enterprise Knowledge Search:<\/b> Deliver accurate,
    grounded answers from trusted content\n<\/li>\n
  • Multi\u2011Lingual and Multi-Modal:<\/b> Ability to handle
    text, and visual inputs across diverse languages,
    with voice coming soon\n<\/li>\n
  • Human\u2011in\u2011the\u2011Loop Escalation:<\/b> Seamlessly hand
    off to support teams with context when needed\n<\/li>\n
  • Enterprise<\/b>\u2011<\/b>Grade Security and Privacy: <\/b>Protect
    sensitive data with role\u2011based access, encryption,
    audit logs, and built\u2011in compliance controls\n<\/li>\n
  • Explainability and Workflow Logs:<\/b> Gain complete
    visibility into AI actions, making compliance
    reporting, auditing, and root-cause analysis effortless\n<\/li>\n
  • Performance Dashboards: <\/b>Track deflection, CSAT,
    resolution metrics and knowledge gaps while
    uncovering customer intent to continuously improve
    support outcomes<\/li>\n<\/ul>\n<\/td>\n
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