PLDT is leveraging agentic AI to manage the operational pressures of expanding 5G, broadband, and satellite connectivity across the Philippines. By integrating the UiPath Platform, the telecommunications provider is moving beyond simple automation toward business orchestration to resolve service bottlenecks. This strategic deployment targets high-latency manual processes, aiming to convert fragmented enterprise knowledge into actionable intelligence. For enterprise IT leaders, the move illustrates how telcos are utilizing AI agents to maintain service quality while scaling infrastructure to meet surging national digital demand.
PLDT Deployment of Agentic AI Capabilities
PLDT has implemented three distinct AI-driven solutions to address specific operational friction points within its service delivery model. The first, KAI (Knowledge, Automation, Intelligence), focuses on instant knowledge retrieval, aiming to reduce research times from several days to between one and three seconds. This tool is designed to eliminate repetitive research for customer support and proposal creation, which the company expects will save between 25,000 and 30,000 manual hours annually. By grounding responses in approved sources, KAI seeks to increase organizational capacity without increasing headcount.
The second solution, Ellie (Enablement and Intelligence Engine), functions as a digital assistant to connect fragmented workflows. PLDT reports that Ellie can deliver customer response times up to 80% faster and reduces manual effort by 25% to 35%, potentially saving up to 25,000 hours per year. Finally, the company is preparing to deploy ERICA (Enterprise Risk Intelligence Companion Agent) in February 2026. ERICA is positioned to manage annual risk reviews, aiming to reduce manual effort by 97% to 99% by synthesizing data and recommending risk treatments.
Technical Orchestration and Workflow Integration
The integration of the UiPath Platform allows PLDT to transition from traditional automation to a model where AI agents reason and act on enterprise data. This shift is critical for managing the complexity of modern telecommunications, where service restoration often faces significant bottlenecks. By embedding orchestration capabilities directly into core workflows, PLDT is attempting to modernize how employees access and act on information. This approach is intended to enable more proactive customer engagement and maintain transparency during the issue-resolution process.
The technical objective is to move from "AI that provides answers" to "AI that puts knowledge to work." For instance, the KAI agentic assistant is designed to provide contextual responses, effectively creating approximately 12 FTE-equivalent annual productivity capacity. This allows technical and support teams to shift their focus from low-value information gathering toward higher-value, consultative tasks. By automating the synthesis of complex data, as seen with the planned ERICA deployment, the company aims to compress evaluation timelines from as long as ten days down to as little as five minutes.
Key Takeaways
- PLDT's KAI tool aims to reduce manual research time from up to five days to one to three seconds, saving up to 30,000 hours annually.
- The Ellie digital assistant is reported to deliver customer response times up to 80% faster while reducing manual effort by 25–35%.
- The upcoming ERICA agent, scheduled for February 2026, is expected to reduce manual risk management effort by 97% to 99%.
TechInsyte's Take
In our view, PLDT’s strategy signals a significant shift in how large-scale telecommunications providers approach the "scale vs. quality" dilemma. As 5G and satellite connectivity expand, the sheer volume of data and customer queries can overwhelm traditional support structures. By deploying agentic AI like KAI and Ellie, PLDT is not just automating tasks; they are attempting to build a scalable intelligence layer that absorbs operational complexity. The move toward ERICA suggests that the company views risk management as a primary candidate for AI-driven compression. This deployment serves as a blueprint for how highly regulated, high-volume enterprises can use orchestration to maintain agility during rapid infrastructure expansion.
Questions & Answers
How does PLDT plan to address the increasing complexity of annual risk reviews?
PLDT intends to deploy ERICA (Enterprise Risk Intelligence Companion Agent) in February 2026. This agentic AI is designed to automatically synthesize data and score risks, which the company claims could reduce manual effort by 97% to 99% and shorten evaluation periods from several days to as little as five minutes.
What specific productivity gains is PLDT targeting through the KAI implementation?
The KAI (Knowledge, Automation, Intelligence) tool is designed to transform manual research processes into near-instantaneous contextual responses. PLDT expects this to save between 25,000 and 30,000 hours of manual effort annually and create approximately 12 FTE-equivalent annual productivity capacity.
In what way does the Ellie digital assistant impact customer service metrics?
The Ellie (Enablement and Intelligence Engine) is positioned to turn fragmented workflows into intelligent actions. According to the announcement, it can deliver up to 80% faster customer response times and reduce manual effort by 25% to 35%, saving an estimated 18,000 to 25,000 hours annually.
What is the primary strategic driver behind PLDT's adoption of the UiPath Platform?
The deployment is driven by the need to support rising demand from 5G adoption, expanding broadband usage, and increased satellite connectivity. PLDT is using the platform to overcome service restoration bottlenecks and transform enterprise knowledge into actionable intelligence to maintain customer trust.
Source: Businesswire
