Acquire Intelligence: What Acquire BPO Became, and What Its AI Arm Actually Does

Searches for Acquire Intelligence usually land on a naming question. The company was Acquire BPO for most of its history, launched an automation and intelligence business called Acquire.AI in early 2024, and rebranded to Acquire Intelligence in 2025. Same organisation, repositioned around AI-enabled delivery.

This guide covers what the company does, what its Philippine operation looks like, what the AI line of business actually includes, and how to evaluate the AI claim rather than take it at face value.

The company in brief

Acquire was founded in 2006 and operates across Australia, the Philippines, the Dominican Republic and the United States. Its core services are contact centre and back office work, including data entry, HR administration, payment processing, accounting and bookkeeping. It offers several delivery models: remote teams, co-sourcing, and full-service outsourcing.

Its Philippine operation is based in Mandaluyong. Our directory profile records customer support, back office and IT outsourcing as its listed services, ecommerce, fintech and SaaS among its industries, a team size in the 201 to 500 band, and a 4.2 rating across 117 Google reviews.

What Acquire.AI covers

The automation and intelligence line of business, announced in February 2024, spans four named capability areas:

• Robotic process automation. Rule-based automation of repetitive back office steps.
• Chatbots. Conversational handling of routine customer contacts.
• Voice biometrics. Caller verification by voiceprint rather than knowledge-based questions.
• Speech analytics. Analysis of call audio for quality, compliance and insight.

That is a recognisable and fairly conventional stack. It is worth noting what it is not: this is operational automation layered onto outsourced delivery, not a general-purpose AI platform sold standalone. For buyers that is often the more useful proposition, because the automation arrives attached to people who run the process.

Where it sits in the Philippine market

Acquire occupies a middle position. It is considerably smaller in the Philippines than the hundred-thousand-seat global operators, and considerably larger and more established than the boutique providers. The delivery-model flexibility, particularly co-sourcing, tends to appeal to buyers who want to retain some process ownership rather than hand over a function wholesale.

If you are comparing options in the same catchment, the Mandaluyong company listings cover its immediate neighbours, and our guide to the top BPO companies in the Philippines sets the wider context.

How to evaluate the AI claim

Nearly every provider in the market now describes itself as AI-enabled, which makes the label close to meaningless as a selection criterion. These questions separate deployed capability from positioning, and they apply to any provider, not just this one:

• What is in production, and for how many clients? A named reference running the capability live is worth more than a demo.
• Who owns the automation once it is built? If you fund the build, establish whether you can take it with you.
• Where does data go? Which models process your customer data, in which jurisdiction, and under what retention terms.
• Where is the human in the loop? Specifically, what happens when the model is wrong, and who is accountable for the outcome.
• How does the commercial model change? If automation removes handling time, ask whether you keep the savings or the provider does. A per-agent price and an automation program pull in opposite directions.
• What is the accuracy baseline? Measured on your data, not on a vendor benchmark.

The last two questions are the ones that most often go unasked, and they are where the value actually sits.

What co-sourcing actually means

Co-sourcing is the delivery model most often misunderstood in this market, and it is one of the three Acquire offers. In a full outsourcing arrangement you hand over a function and the provider owns delivery, management and outcomes. In a remote-team arrangement you get people and manage them yourself. Co-sourcing sits between the two: the provider supplies capacity and operational infrastructure while you retain process ownership and a share of the management.

It suits organisations that have working processes and a shortage of hands rather than a shortage of expertise, and it suits regulated functions where you cannot fully delegate accountability. It works badly when nobody has decided who owns quality, which is the failure mode to guard against. If you go this route, write down which decisions belong to you and which belong to the provider before the contract is signed, not after the first escalation.

Pricing models for AI-enabled delivery

Automation and per-agent pricing pull in opposite directions, and this is where AI-enabled outsourcing contracts most often go wrong. If you pay per agent per month and the provider deploys automation that removes a third of the handling volume, the saving accrues to whoever wrote the contract more carefully.

Three structures are common. Per-agent pricing is simple and familiar, but it gives the provider no incentive to automate away its own revenue. Per-transaction or per-outcome pricing aligns the incentives better and is harder to specify. Hybrid arrangements, where a baseline is fixed and automation savings are shared on an agreed split, are increasingly the practical middle ground. Decide which one you are buying before you evaluate the AI capability, because the capability is worth very different amounts under each.

Working at Acquire Intelligence

The Mandaluyong site recruits for customer support, back office and technical roles, and the AI positioning has added demand for quality analysts and automation-adjacent work. The 4.2 Google rating across 117 reviews is a middle-of-the-market signal rather than an outlier in either direction. As with any employer, weigh aggregate ratings against recent reviews for the specific account you would be joining, since experience in a large operation varies more by program than by company.

Where it may not be the right fit

A useful provider assessment names the boundaries as well as the strengths. Several situations point elsewhere:

• Very large programs. Its Philippine profile records a team-size band of 201 to 500. If you need several thousand seats in one geography, the global operators are the realistic shortlist.
• Deep vertical specialisation. Functions such as clinical coding or complex claims adjudication reward providers built around that single domain.
• Standalone AI licensing. The automation capability is attached to delivery. If you want a platform to run yourself, you are shopping in a different category.
• Wide geographic redundancy. Four countries is a reasonable footprint, but buyers requiring delivery across many regions for continuity will find it limiting.

Conversely, the profile fits well where its listed industries suggest: ecommerce operations with seasonal peaks, fintech back office work with a compliance dimension, and SaaS customer support where automation can absorb the repetitive tier-one volume. In each case the value comes from combining the automation layer with people who run the process, which is exactly what a standalone tool cannot provide.

Common questions