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ChatGenie is a Philippine technology company that designs and deploys agentic AI systems for enterprises. Its initial focus is customer support automation: helping organizations improve response and resolution times, control operating costs, and support human service teams.
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Key facts and approved company descriptions for editorial use.
ChatGenie is a Philippine enterprise AI company designing and deploying agentic AI systems. Its technology helps organizations automate routine customer service workflows, integrate with business systems, and escalate complex matters to human specialists. ChatGenie has worked with enterprises including Angkas and LBC Express, and holds ISO/IEC 27001 certification.
Founded in 2018, ChatGenie is a Philippine technology company that designs and deploys agentic AI systems for enterprise operations. Evolving from chatbots and social commerce, the company now focuses on customer support automation and business workflows that combine AI agents, approved enterprise knowledge, system integrations, and human oversight. ChatGenie has delivered solutions for organizations including Angkas and LBC Express and reports measurable operational improvements in selected customer deployments. The company was included in Forbes Asia’s 100 to Watch in 2021, participated in Techstars San Francisco in 2023, and achieved ISO/IEC 27001 certification in 2025. Learn more at chatgenie.ph.
ChatGenie began developing conversational chatbot technology in 2018 and expanded into social commerce in 2019, enabling businesses to engage shoppers and facilitate transactions through messaging platforms. Its early work earned recognition in Forbes Asia’s 100 to Watch in 2021 and support through the Mastercard Strive Innovation Fund. In 2023, ChatGenie participated in the Techstars San Francisco accelerator program powered by eBay.
In 2024, ChatGenie shifted toward agentic AI: systems that can interpret requests, use approved information and business tools, and coordinate defined tasks while keeping human oversight for higher-risk work. The company expanded enterprise customer support deployments and achieved ISO/IEC 27001 certification in 2025. In 2026, it continued expanding enterprise solutions, ticket management capabilities, AI evaluation practices, and partner distribution.
AI agents interpret customer requests, retrieve approved knowledge, assist with workflow execution, and escalate sensitive or complex cases to human specialists.
Consolidated customer conversations and support operations, including categorization, sentiment, customer context, and assisted human handoff. Channel availability depends on deployment.
Integrated ticket handling, assignment, queues, permissions, and shared customer support knowledge.
Production-derived testing of LLM response quality, latency, cost and appropriateness for enterprise workloads.
Integrations with APIs, operational tools and knowledge systems, including MCP-oriented approaches where supported.
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Security · policy · input risks
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Interpret · coordinate · act
Automate low-risk cases or route to humans
ChatGenie uses a Guard Agent and an Orchestrator Agent as its streamlined core architecture. The Guard Agent evaluates security, policy and input risks. The Orchestrator interprets requests and coordinates responses and permitted business actions. Low-risk cases may be automated; higher-risk or unresolved cases are routed to humans under configured operating rules. The specific architecture and degree of autonomy vary by client deployment.
Reported support operating cost reduction in a published flagship case study
Support team size before and after deployment, across three shifts
Resolution for selected common, repeatable concerns in the same case study
Reported response/classification performance in selected published product materials
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ChatGenie has described a flagship motorcycle ride-hailing customer support implementation that maintained comparable ticket volume with fewer frontline agents and accelerated routine case handling. Published figures should be used with methodology, time period, and customer permission for named attribution.
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In 2026, ChatGenie deployed a Messenger-based customer support solution involving guided workflows and integrations relevant to logistics inquiries. Details of commercial scope and performance should be cleared with LBC before broader publication.
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In October 2026, ChatGenie and Tritel announced a reseller agreement to bring agentic AI customer engagement solutions to Philippine enterprises, combining Tritel’s communications and contact center expertise with ChatGenie’s AI automation capabilities.
Forbes listed ChatGenie among emerging Asia-Pacific companies in e-commerce and retail.
Support for innovation and digital commerce initiatives.
Participation in the accelerator program powered by eBay.
Achieved in 2025. Certification for an information security management system; certification scope and valid certificate should accompany formal claims.
Startup ecosystem recognition, subject to final asset and wording approval.
Ragde Falcis is the CEO, CTO and Co-founder of ChatGenie, where he leads enterprise AI strategy, product development and technical architecture. He has worked across software engineering, product development, conversational technologies and the deployment of AI systems for business operations. His public speaking and writing have focused on practical AI adoption, enterprise reliability, model evaluations, and measurable business outcomes. He participated in the Techstars San Francisco accelerator.
Selected coverage focuses on ChatGenie’s agentic AI systems, real enterprise deployments, production reliability and measurable business impact. Independent reporting and public speaking are separated below for clarity.
Ragde Falcis discusses the company’s move toward enterprise agentic AI and customer-support automation.
Follow-up reporting on Ragde Falcis’s ANC Startup appearance and the shift from conversational AI to systems that execute enterprise workflows.
Source: https://www.abs-cbn.com/news/technology/2026/8/29/agentic-ai-is-moving-into-business-decisions-1400
Business/technology coverage featuring discussion of AI adoption and operational efficiency.
Independent reporting on ChatGenie’s multi-agent technology and human–AI collaboration in support operations.
Source: https://mb.com.ph/2024/12/9/chat-genie-s-ai-takes-aim-at-bpo-industry
Coverage of the multi-agent architecture, with comments attributed to Falcis. This article describes an earlier architecture and should not be used as the current technical specification.
Presentation on evaluating models for production accuracy, reliability, multilingual performance, latency and economics.
Reference: https://chatgenie.ph/post/beyond-the-leaderboard-how-we-benchmarked-llms-for-enterprise-support
Industry panel about proving business ROI from production AI.
Industry discussion on business technology and AI in customer operations.
Selected coverage focuses on ChatGenie’sOfficial company links, published case studies and technical reading. agentic AI systems, real enterprise deployments, production reliability and measurable business impact. Independent reporting and public speaking are separated below for clarity.
https://chatgenie.ph/post/tritel-and-chatgenie-partner-to-bring-agentic-ai-to-philippine-enterprises
