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WEBINAR SUMMARY · PRODUCT

From answers to action: what agentic AI means for HR, and the questions to answer before you switch it on

FORMATOn-demand webinar
LENGTH68 min
CONDUCTED ONTue, 23 June 2026
LANGUAGEEnglish

Ioni Mendoza, CEO of Amorsolo Consulting, explains in plain terms how agentic AI differs from the AI tools HR already uses, where it helps across the employee lifecycle, and the governance questions to settle first. Manolo Garcia-Ramos then shows Lexi AI in PeoplesHR finding recruitment bottlenecks and overtime hotspots in seconds.

WATCH THE RECORDING AND LEARN HOW TO

1. Tell agentic AI apart from chatbots and RPA

2. Answer the governance questions before you deploy

3. Spot hiring bottlenecks and overtime risks in seconds

Key takeaways

Watch from 05:07

Doing nothing has a hidden cost. Early adopters are already building the learning curve and data advantage. As Ioni put it, AI won’t replace HR leaders, but HR leaders who use AI will replace those who don’t.

Watch from 08:11

Agentic AI takes a goal, not a prompt. Ask for "three shortlisted candidates interviewed by Monday" and it posts the job, screens and assesses applicants, and books interviews around the manager’s calendar, adapting if someone can’t make it.

Watch from 18:25

From reactive reports to early signals. Ioni's example: four stress-related leaves in one team, heavy overtime, 14 direct reports and no check-in for 60 days. Spotting the pattern lets HR step in before people leave.

Watch from 21:29

Three governance questions come first. Who is accountable for each decision, and which ones are high-risk? Where does a human stay in the loop? Is your data clean? With AI it is no longer garbage in, garbage out, but garbage in, landfill out.

Watch from 24:35

Avoid the common traps. Full autonomy too early, dirty data, settling for easy wins, no governance, unchecked bias, and no data processing agreement under the Data Privacy Act and National Privacy Commission rules.

Watch from 43:04

Lexi is built inside PeoplesHR. Lexi Insights answers leadership questions from your own data, while Smart Navigator and Super Agent help employees find things and get them done. Unlike ChatGPT, it knows your organization.

What we covered

Pick a time to play the recording from that moment, right here on the page.

00:00

Welcome and agenda

Why agentic AI is a now conversation, not a future one.
03:04

Meet Ioni Mendoza

Three decades in HR, and the human layer AI needs.
04:06

The landscape

Adoption forecasts, and the compounding cost of waiting.
06:08

What agentic AI is

A smart intern versus an experienced recruiting coordinator.
11:15

How it fits your tech ecosystem

A smart layer on top of HR, finance, IT and other systems.
13:19

Use cases: recruitment and onboarding

Faster shortlisting and onboarding that adapts to each new hire.
15:21

Use case: performance management

Less chasing, fewer spreadsheets and flagged outliers.
17:25

Use case: employee self-service

Sick-leave questions answered and actioned, even in Filipino.
18:25

Use case: workforce intelligence

Connecting leave, overtime and span of control before people burn out.
21:29

Three governance questions

Accountability, human in the loop, and clean data.
24:35

Common traps and how to avoid them

From full autonomy too early to missing data agreements.
28:40

Agentic AI versus RPA

Learning and adapting versus fixed rules.
29:41

Your HRIS is the foundation

Why an HRIS decision is now an AI-readiness decision.
31:44

Q&A with Ioni

Jobs, privacy, getting started and candidate fraud.
39:58

AI is only as good as its data

Manolo Garcia-Ramos on building foundation and intelligence together.
43:04

Meet Lexi

Lexi Insights, Smart Navigator and Super Agent.
46:10

Lexi in recruitment

Parsing CVs, scoring candidates and scheduling interviews.
49:14

Finding recruitment bottlenecks

Offer-stage and acceptance rates, and candidates waiting too long.
50:14

Which teams carry the overtime?

An answer for the CFO in seconds, not days.
53:20

What is the AI built on?

Domain expertise and your own data, not a generic model.
55:22

About Amorsolo Consulting

Advisory, fractional HR and an upcoming HR foundation playbook.
60:58

Audience Q&A

Languages, salary benchmarking, data agreements and Lexi versus ChatGPT.

Q&A highlights

No. It takes over the repetitive work so HR can grow its data literacy, co-lead AI governance with legal, IT and finance, and handle the sensitive people issues and negotiations nobody wants to leave to AI.
Stay compliant with the Philippines' Data Privacy Act and National Privacy Commission circulars, make sure your vendor is compliant too, and back it with your own internal policies.
Be honest about whether your data is clean and your policies and workflows are in place. Pilot it in one workflow, usually recruitment, and build the ROI case to win sponsorship from leadership.
Typically 8 to 12 weeks, depending on the complexity of your operation. A strong data foundation makes it quicker; fragmented data takes longer.
Keep a background-check step in your workflow. Do not rely on AI to decide alone; identify where a human or specialist check has to step in.
Yes. Lexi is multilingual and works in Filipino and Tagalog, as well as Bisaya and Hiligaynon. The team has tested Kapampangan too.
Connecting to external data sources to compare salary competitiveness is on the PeoplesHR product roadmap.
You can explore and plan on solid fundamentals, but deployment always needs a data processing agreement and employee consent under the law.
ChatGPT knows nothing about your organization beyond the files you give it. Lexi answers from your own payroll, attendance and headcount data, and keeps that knowledge when people leave. Don't feed employee data into public AI tools.

Resources from the session

TOOL · ROI
PeoplesHR ROI Calculator
Build the business case for HR automation and AI before you pitch it to leadership.
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See Lexi work on your own HR data

Watch the full session, or book a personalized walkthrough of Lexi Insights, Smart Navigator and Super Agent.