UiPath customer PLDT reports up to 25,000 hours a year saved by one sales agent
PLDT built three AI agents on UiPath for sales, knowledge and risk work. UiPath's 5 October 2026 release reports up to 25,000 hours a year saved by one of them.
By Emre AlemdarPublished
Tech AI LatestUiPath announced on 5 October 2026 that Philippine telecom operator PLDT won a Silver Award at its 2026 AI Breakthrough Awards. PLDT built three in-house agents with UiPath tools. The Ellie sales agent reclaims an estimated 18,000 to 25,000 hours a year, the KAI knowledge agent saves 25,000 to 30,000 hours, and the ERICA risk agent cut manual effort by 97% to 99%. The figures are PLDT estimates published in a UiPath press release.
Key facts
- Announced: 5 October 2026 (UiPath newsroom, Manila)
- Ellie (sales): an estimated 18,000 to 25,000 hours reclaimed a year, 40% to 60% less time on standard proposals, proposal errors down 40% to 50%
- KAI (knowledge): research that took up to five days now answered in one to three seconds; about 12 FTE-equivalent capacity and 25,000 to 30,000 hours a year
- ERICA (risk): manual effort down 97% to 99%; assessments cut from two to 10 days to five minutes to one day
- Built with: UiPath Agent Builder, Integration Service and Robots
- Cost and project timeline: not stated in the announcement
What UiPath and PLDT reported
UiPath announced on 5 October 2026 that PLDT, the Philippine telecommunications company, received a Silver Award at the 2026 UiPath AI Breakthrough Awards. The award recognizes customers that deploy agentic AI beyond traditional automation. PLDT built a set of in-house AI agents with UiPath Agent Builder, Integration Service and Robots, and uses them in enterprise sales, risk management and lead generation.
The first agent, Ellie, short for Enablement and Intelligence Engine, pulls enterprise knowledge and live CRM data, generates customer-ready proposals and presentations, and flags churn risks with retention or upsell recommendations. PLDT estimates that Ellie reclaims 18,000 to 25,000 hours a year. The release says sales teams spend 40% to 60% less time on standard proposal and presentation materials, proposal error rates fell by 40% to 50%, and upsell rates rose by 20% to 50%.
The knowledge and risk agents
KAI, for Knowledge, Automation, Intelligence, handles grounded knowledge retrieval for proposals and customer support. According to the release, research that took up to five days now returns answers in one to three seconds, which UiPath describes as a 99% faster response rate. KAI accounts for about 12 FTE-equivalent annual capacity and an estimated 25,000 to 30,000 hours of manual effort a year.
ERICA, the Enterprise Risk Intelligence Companion Agent, writes structured risk statements and scores them against compliance standards. The release says it reduced manual effort by 97% to 99% and shortened risk assessments from two to 10 days to between five minutes and one day. Gilbert Gaw, first vice president and head of IT and the transformation office at PLDT and Smart, is quoted on the award. Karl Crowther, UiPath area vice president for the Middle East, Africa and South Asia, is quoted praising the deployment.
Why it matters
Most enterprise agent announcements describe products. This one gives per-agent numbers from a named customer, which makes it more useful as a benchmark for sales and risk automation in large companies. The limits are clear, though. The figures are estimates and ranges, they appear in a vendor award release, and no baseline, measurement period or project cost is given. Added together, Ellie and KAI suggest 43,000 to 55,000 hours a year, but the release itself only says tens of thousands of hours. More automation results with numbers are collected under AI Automation.
What to watch next
PLDT says it wants to expand agentic AI further, but the release does not name new use cases or dates. Independent confirmation, for example in PLDT's own disclosures, would make the hours and upsell figures easier to rely on.
What changed
| Before | PLDT sales and risk teams prepared proposals, researched answers and wrote risk assessments by hand, with research taking up to five days and risk assessments two to 10 days |
|---|---|
| After | Three UiPath-built agents draft proposals, answer knowledge queries in seconds and produce risk assessments in minutes to a day, PLDT estimates |
| Who it affects | PLDT enterprise sales, customer support and risk teams; telecom and enterprise buyers evaluating agent results |
Questions people ask
- How many hours does PLDT save with UiPath agents?
- The release estimates 18,000 to 25,000 hours a year for the Ellie sales agent and 25,000 to 30,000 hours for the KAI knowledge agent. Overall it says tens of thousands of hours a year.
- Which UiPath tools did PLDT use?
- UiPath Agent Builder, Integration Service and Robots, according to the release.
- How much did the PLDT project cost?
- Cost is not stated in the announcement.
Sources
Reference pages
- UiPath company
Spotted an error? See the corrections policy and tell the editor. Facts in this story come from the sources listed above; vendor claims are attributed.
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