The opinions expressed by Digital Journal contributors are their own.
As organizations adopt AI in customer support, finance, legal operations and other business functions, many are finding that automation delivers the most value when coupled with human oversight and operational accountability.
Artificial intelligence is changing the way organizations approach business process outsourcing, but the most successful BPO strategies are not eliminating humans. Instead, many companies are using AI to automate routine work while relying on experienced teams to provide judgment, oversight and accountability.
Jens Erik Gould, Founder and CEO of Amalga Groupa nearshore BPO and outsourcing company based in Texas and Latin America, notes that the growing adoption of AI has also highlighted the limits of automation.
“While technology can speed up processes and increase productivity, human expertise remains essential to decision-making, quality assurance, compliance and customer experience,” says Gould. The future of BPO combines the strengths of both through a hybrid model that provides greater efficiency alongside human oversight and accountability.
Why business process outsourcing continues to grow in the age of AI
Business process outsourcing (BPO) enables companies to delegate specific business functions to specialized third-party providers. These services may include customer support, technical assistance, accounting, human resources, content moderation and other operational tasks.
Businesses use BPO providers to reduce costs, improve efficiency and access specialized expertise without building large in-house teams. Rather than managing every function in-house, organizations can leverage providers with established talent, processes and infrastructure.
Jens Erik Gould points out that the role of modern BPO providers continues to evolve beyond traditional outsourcing, with many organizations looking to these partners for the operational expertise and AI-driven capabilities needed to stay competitive in a rapidly changing business environment. This helps improve performance by focusing internal resources on growth and innovation.
Gould says this shift has become increasingly evident through the Amalga Group’s work supporting organizations across legal, financial, technology and customer-facing operations, where customers are looking for providers who can combine technology adoption with operational accountability.
Jens Erik Gould explains where AI delivers measurable results in BPO
AI has become a major topic in the BPO industry because many outsourcing functions involve high-volume, repetitive, and process-driven work, and AI can help teams handle larger workloads, shorten response times, improve resilience, and lower operational costs.
In customer support, chatbots and AI-powered virtual assistants can answer common questions, direct questions to the right department, and provide instant responses around the clock. In data processing, AI can extract information from invoices, forms and contracts much faster than manual entry, reducing errors and improving efficiency.
Workflow management tools can automatically categorize requests, prioritize tasks, generate summaries, and trigger next-step actions without human intervention.
According to Gould, by automating routine processes, organizations can reduce operational costs, increase productivity and enable employees to focus on more complex work that requires critical thinking, problem solving and customer engagement.
AI is also helping organizations improve quality assurance, identify compliance risks, and generate predictive insights that support staffing and operational planning. In many environments, automation reduces administrative burdens and allows employees to focus on higher-value responsibilities.
The limits of automation in real-world operations
AI can handle many routine tasks, but still has limits when the job requires judgment, context, or human judgement. Business operations do not always follow a clear script and unexpected issues need people who can think critically and make informed decisions.
Jens Erik Gould elaborated, “In customer support, for example, AI can answer basic questions, but sensitive complaints, complex problems, and relationship-driven conversations still require empathy, experience, and context.”
“Human oversight is also important in regulated industries like healthcare, finance and insurance, where compliance and risk matter. When AI makes a mistake, humans need to review the issue, correct it and take responsibility,” he continued.
Why human expertise remains critical
Human expertise remains critical because not every business decision can be reduced to automation. Human teams also play an essential role in quality assurance by reviewing AI-generated output, identifying errors, and ensuring the work meets client standards.
When customer issues become sensitive, urgent or unusual, people are better equipped to respond with empathy and context. This human layer helps protect the customer experience while ensuring that automation supports operations rather than creating new risks.
How managed nearshore delivery bridges the gap
Many organizations are responding by adopting hybrid operating models that combine automation with dedicated service teams. In offshore managed delivery environments, AI can handle routine workflows while human teams remain responsible for quality assurance, escalation management, compliance oversight and customer communication.
This approach allows businesses to take advantage of automation without losing the judgment, accountability and operational control that complex business functions often require. Rather than replacing human expertise, AI becomes a tool that helps teams work more efficiently and focus their attention on higher-value activities.
“Nearshore delivery provides the scalability businesses need to expand operations quickly while maintaining close collaboration across shared time zones and cultural alignment.” says Jens Erik Gould. “Combined with AI, offshore teams create a balanced model that brings together automation, operational oversight and customer-centric service.”
For organizations looking to modernize their operations, the combination of AI and proximity managed delivery offers a practical path forward, one that improves efficiency while maintaining the expertise, responsiveness and customer focus that drive long-term success.
As AI adoption accelerates, the conversation within BPO is shifting from automation alone to issues of governance, accountability and operational ownership. Increasingly, organizations are recognizing that the successful adoption of AI depends not only on the technology, but also on the operational, governance and accountability structures that surround it.
About Jens Erik Gould
Jens Eric Gould is the Founder and CEO of Amalga Group, a Texas and Latin American-based company specializing in providing highly qualified managed services to the legal, financial, retail and technology industries. Previously, Gould worked in the financial sector, contributing his skills to firms such as Apollo Global Management.
