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August 19, 2026
ChatGenie CEO and Co-Founder Ragde Falcis will join industry leaders at Echelon Philippines 2026 on August 25–26 at SMX Aura to discuss what it really takes to turn AI investments into measurable business outcomes.AI has quickly moved from experimentation to boardroom priority.But as more companies invest in AI, a more important question is emerging:
May 20, 2026
ChatGenie's production customer support automation platform was built on Microsoft Azure. Our Orchestrator Agent ran on GPT-5.2 — tuned from a GPT-4o baseline — and it had earned its place: 99% resolution accuracy, a 77% reduction in support OPEX, and a customer team rightsized from 39 to 9 agents for our flagship enterprise client. When we migrated to Amazon EKS and AWS Bedrock, we lost access to Azure AI Foundry and with it, our path to GPT-5.2. We needed a replacement sourced entirely from Amazon Bedrock. This article documents what we found.
May 20, 2026
When we set out to evaluate large language models for ChatGenie's core agentic workflow, we quickly realized that the benchmarks published by model providers — MMLU, HumanEval, MATH — told us almost nothing useful. We were not building a trivia assistant. We were running a production customer support automation system with real enterprise clients, live conversation volume, and service-level commitments that could not absorb experimental failure. The question we needed to answer was not "which model is smartest?" It was "which model behaves most reliably inside a constrained, multi-agent pipeline operating under production conditions?
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January 22, 2026
When we first designed ChatGenie's agentic system for customer chat operations, we followed a principle that seemed intuitive: separate concerns into separate agents. Intent classification? That's one agent. Policy enforcement? Another agent. Response generation? Yet another.The result was a five-agent core chain that was clean, modular, and easy to reason about. It was also slow.Each agent in the chain required a separate LLM call. Five agents meant five round-trips to the model. In customer chat, where users expect near-instant responses, this cumulative latency was becoming a problem. Users would see typing indicators for seconds before receiving a response. Containment rates suffered as impatient users escalated to human agents.We needed to rethink our architecture.
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January 27, 2026
This document proposes a baseline standard for the minimum requirements of an end-to-end agentic system for customer chat operations. It is not intended as a complete specification, but as a starting point for teams building production-grade agentic support systems.
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December 10, 2025
When we describe ChatGenie, we don’t start with “chatbot” or “ticketing system.” We start with Agentic AI Systems.ChatGenie builds multi-agent AI systems that autonomously analyze, decide, and act across complex enterprise workflows. Customer support operations are simply the first — and most visible — foundation where this approach creates tangible impact.
September 17, 2025
Manila — September 16, 2025 — ChatGenie is now ISO/IEC 27001 certified. This means that an independent auditor has reviewed our information protection practices and confirmed that our security measures meet a widely recognized international standard.
August 15, 2025
Organizations are investing heavily in artificial intelligence, yet many projects struggle to move beyond the proof-of-concept (POC) stage. AI implementers and project leaders often face significant hurdles when transitioning from experimental validation to practical, scalable deployment. This article examines the most common pitfalls that hinder AI projects from reaching production and shares insights supported by industry reports and studies.
August 1, 2025
Last July 17, 2025, ChatGenie attended Converge’s Bizkarteng Pinoy 2025, the inaugural MSME-tech conference held at Megatrade Hall 2, SM Megamall. Our CEO, Ragde Falcis, stood alongside industry leaders on the panel, sharing our insights on AI-driven customer service, seamless chat commerce, and powering SMEs to scale.
April 22, 2025
With today's large language models (LLMs), building a proof-of-concept (POC) for a chatbot is relatively easy, but turning that into a production-ready system is far more challenging. Early prototypes often impress in demos but can behave unpredictably in real-world use. The AI hype led to an explosion of AI projects and investments that have yet to produce return on investment. In large enterprises nearly nine out of 10 senior decision-makers said they have gen AI pilot fatigue and are shifting their investments to projects that will improve business performance, according to a recent survey from NTT DATA.”
February 11, 2025
Traditionally, sentiment analysis relied on manual reviews, periodic surveys, and basic keyword matching to gauge customer mood—a process that was both slow and limited in scope. In today’s fast-paced digital landscape, these methods fall short. Agentic AI sentiment analysis now processes vast amounts of data in real-time, delivering more accurate and actionable insights.
November 21, 2024
As we transitioned toward becoming an AI-focused company by developing an AI Copilot to assist businesses in managing their stores, we realized that delivering substantial value might take longer than anticipated. We created several useful AI-powered features such as product description generators, welcome and greeting message creators, and automated comment-reply configurators for existing Facebook posts.
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July 26, 2024
A significant portion of social media users have experienced at least one frustrating chatbot interaction online. One major reason for this frustration is that most chatbot responses are rigidly designed using predefined conversation flows. Users must follow a specific sequence to obtain the information they need, which can feel like navigating a maze. This often results in users going in circles, hitting dead ends, and ultimately giving up and reverting to calling a hotline or emailing customer support.
July 26, 2024
LLMs powered by transformer models have taken the world by storm, with products like ChatGPT reaching over a million users within the first month of release and surpassing 180 million users by May 2024. While these technologies are incredibly useful, ensuring their safety and accuracy is paramount.
October 10, 2023
We are thrilled to announce a significant milestone in ChatGenie's journey: our acceptance into the prestigious Techstars Future of eCommerce Accelerator Program Powered by eBay. This marks an exciting step forward for ChatGenie and a testament to our commitment to helping businesses through our In-App Stores.
