Ramco Enters Agentic AI With Chia, Aiming to Reduce Response Times and Manual Tickets

Jersey City N.J., February 9, 2026

Ramco Systems has launched Chia, an enterprise-grade conversational AI agent platform aimed at customer experience teams, marking the company’s entry into the fast-growing “agentic AI” category. Announced on February 12, 2026, Chia is positioned as a production-focused platform designed to automate complex customer support interactions, cut response times and manual effort, and reduce operating costs while maintaining enterprise controls.

Ramco is framing Chia as more than a chatbot. The company says the platform can “reason, decide, and act” by executing multi-step workflows across backend enterprise systems. That positioning is tied to a support-model shift Ramco is explicitly selling: moving away from “human-in-the-loop” for routine tickets to an exception-based approach, where AI resolves standard requests and only escalates edge cases to human agents, with context attached.

“Chia addresses a rapidly growing global market need for AI systems that are not just conversational, but truly agentic, capable of reasoning, acting, and delivering measurable outcomes,” said Abinav Raja, Managing Director, Ramco Systems. He added that Chia is Ramco’s “first AI-native product” and “the beginning of a broader roadmap” to embed agentic intelligence across the company’s portfolio, aligned with a push to make the platform “AI-native.”

Chia is part of Ramco’s AI-driven task automation suite, rTask. A core message in the launch is speed of deployment for business teams. Ramco says CX teams can build agents using a no-code “AI Agent Foundry” and define business logic with Natural Language Workflow, allowing non-engineering teams to express rules such as refund eligibility, booking validations, and policy enforcement in plain English. The company argues this approach translates rules into deterministic behavior to reduce hallucinations and improve reliability in production.

“Customers today expect accuracy, speed, and seamless support across every touchpoint,” said Sandesh Bilagi, President and COO, Ramco Systems. “Chia rises to this challenge by enabling enterprises to automate complex customer interactions with confidence and control.” He also emphasized faster implementation, saying the platform enables teams to deploy “production-grade AI Agents in weeks, not months,” helping organizations modernize support without lengthy implementation cycles.

Ramco is also leaning hard into governance, because “agentic” creates immediate buyer anxiety about what the system can do and what it might do wrong. The company highlights workflow guardrails, explainability and workflow logs for auditing and root-cause analysis, plus enterprise-grade security and privacy features such as role-based access, encryption, audit logs, and compliance controls. Chia also includes human-in-the-loop escalation when required, which is the practical safety valve buyers will pressure-test first.

Go-to-market, Ramco is targeting industries where customer support volume is high and workflows are repetitive but operationally sensitive. The company lists e-commerce, travel and hospitality, technology and SaaS, financial services, health and wellness, media and entertainment, and communications and telecom as key fit areas.

What this means in plain terms: Ramco is trying to win on ‘outcomes plus controls,’ not on novelty. If you are evaluating platforms like this, the serious questions are not ‘does it chat?’ but ‘what actions can it take, what approvals exist, what gets logged, what data is used, what exception rate is acceptable, and how quickly can it integrate with CRM, ERP, ITSM, and HRIS without creating risk.’ If Ramco can prove safe automation at scale with audit-ready traceability, Chia becomes more than a launch headline. If not, it becomes another demo that dies in governance review.

Priyanshi Kharwade