What the workforce data covers
BPOAI.ai maintains verified profiles on more than 890 Philippine BPO companies and the AI tools deployed across them. In aggregate — always anonymized, never company-by-company — that data answers questions workforce planners currently answer with estimates.
Nothing on this page reflects an existing agreement with any government agency. It describes what the platform already measures and is able to share.
Adoption by service line
Which functions are automating first — customer support, back office, finance, technical support — and which AI tools companies actually deploy on the floor, drawn from verified profiles rather than surveys.
Adoption by city
How AI readiness differs between Metro Manila and the provincial hubs (Cebu, Davao, Clark, Iloilo, Bacolod, Cagayan de Oro), where re-skilling investment lands hardest per peso.
Adoption by company size
Whether the transition is being led by thousand-seat enterprises or by small specialist firms — the split that decides which programs need incentives and which need standards.
Claims vs. verified capability
The gap between what companies say about AI and what passes verification under the published scoring model. The gap itself is a policy signal: it maps where marketing is ahead of skills.
Training throughput
Completion and certification volumes from the free AI Academy, a live measure of worker demand for re-skilling that agencies can read without commissioning a study.
For agencies and researchers
If you are inside TESDA, OWWA, DICT, or a research institution and want to see the aggregate views, start the conversation — the methodology behind the underlying scores is public on How Scoring Works.
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