We are a BPO and Contact Center Company in Spain and the USA

Outsourcing S.A.S. is a Colombia-based BPO and contact center company, self-described as the first BPO and contact center founded in Colombia, with operational reach extending across more than 20 countries and a commercial presence in Spain and the United States. The company operates from five offices across Colombia, employs more than 5,000 staff, and handles over 1.2 million customer interactions per month, figures that put it in a meaningful mid-to-large tier for a Latin American outsourcer.

The core of what Outsourcing S.A.S. does is customer lifecycle management through a methodology it calls Total Experience. This is not just a branding term, it describes an approach that integrates every customer-facing channel into a single operational framework, with the goal of consistency across voice, digital, and automated touchpoints. The channels supported include phone, WhatsApp, live chat, email, social media, website, SMS, and video calls. That breadth of channel coverage is genuinely useful for brands that need omnichannel support rather than voice-only service.

Service lines break into four areas. First, traditional Business Process Outsourcing, contact center operations and process outsourcing adapted to the customer lifecycle. Second, Business Process Automation, AI-driven automation, including generative AI applications embedded into workflows. Third, KPO (Knowledge Process Outsourcing), specialized knowledge-based processes focused on analysis, strategic management, and decision-making, not just high-volume transactional work. Fourth, AI Agents, a newer service line where artificial intelligence handles customer conversations and interactions, positioned as an augmentation layer on top of the human workforce rather than a replacement.

The combination of human agents and AI integration is emphasized throughout their positioning. For buyers evaluating this, I would want to understand exactly how these AI tools operate in practice: are they proprietary models, third-party integrations (e.g., large language model APIs layered on top of standard ticketing or CRM systems), and what the escalation path looks like when the AI fails or encounters an exception case? These details matter operationally, and a vendor that can explain the handoff between AI and human agents clearly is in a better position than one offering vague automation claims.

Industry verticals served include banking and fintech, telecommunications, health, insurance, retail, and utilities. This is a fairly broad vertical mix, suggesting the company operates at scale across multiple sectors rather than being narrowly specialized. For buyers in regulated sectors, health, insurance, fintech, that breadth is worth scrutinizing. It can mean deep experience across sectors, or it can mean thin specialization in each. I would ask for specific process examples and client references within the relevant vertical before assuming the same depth exists across all six.

Geographically, the company serves clients in more than 20 countries, including Peru, Ecuador, Uruguay, Dominican Republic, Spain, USA, Guatemala, El Salvador, Panama, Argentina, Chile, Mexico, Honduras, Bolivia, and Paraguay. Delivery is centralized in Colombia. For Latin American and Spanish-speaking market buyers, this is a strong setup, Colombian Spanish is considered neutral and clear, which is a practical advantage for regional customer service. Spain operations appear to be client-side presence and sales, not delivery.

For US or European buyers, the timezone is manageable. Colombia operates on ET (Eastern Time equivalent during US daylight hours), which makes real-time collaboration with East Coast and Central US teams straightforward. For Spain and the broader European market, the time gap is larger, roughly five to six hours, so asynchronous work or extended-hours coverage would need to be structured deliberately.

The company's scale, 5,000+ staff, five delivery centers, 1.2M+ monthly interactions, suggests it is equipped to handle meaningful enterprise volumes rather than small-team or startup-scale work. Minimum engagement details are not publicly available, so buyers should confirm minimums directly.

In terms of pricing model and certifications, no specific details are publicly available from the research at hand. I would not assume any particular certification (ISO, SOC 2, HIPAA, PCI DSS) without confirmation, even though the health and fintech verticals they serve would typically require at least some of these. That is one of the first questions I would raise before any contract discussion.

From an editorial standpoint, Outsourcing S.A.S. has genuine scale and breadth that makes it a credible consideration for Spanish-speaking market support, LatAm regional expansion, or mid-to-large enterprise omnichannel programs. The AI and automation positioning is worth probing carefully, I would want to see working examples of how AI agents are deployed, what the error rate looks like, how exceptions are handled, and whether the automation genuinely reduces handling time or simply routes interactions before handing off to a human anyway. The KPO offering is interesting and less common among LatAm contact center firms; if you need knowledge-intensive work (analysis, specialized decision support) alongside transactional volume, that combination is worth exploring. For buyers outside Spanish-speaking markets, or needing support in languages other than Spanish, this vendor is probably not the right fit, language breadth is not evidenced and should be confirmed before moving forward. I would also ask about attrition rates, team-lead ratios, QA methodology, and reporting cadence before committing. The sales deck likely shows capacity and channel breadth; what matters operationally is how well they document processes, how they manage quality at scale, and how transparent they are when something goes wrong.