AI can expand the scope of customer service by automating tasks across a broader range of products, creating new market opportunities for BPOs.

Software has traditionally failed to address the complexities of BPO tasks because it often requires handling unstructured data and making contextual judgments, which AI is now capable of managing effectively.

The current business model of BPOs relies heavily on human labor, making it challenging for them to transition to AI-driven processes without significant shifts in their operations.

AI excels at processing disparate and unstructured information from various systems, enabling it to synthesize data and take actionable steps, which opens up new use cases for software in the BPO sector.

AI can enhance efficiency in various sectors, such as providing voice customer support, which was previously not cost-effective for large-scale use.

Building AI products that can perform tasks traditionally done by humans, like customer support or sales, is challenging but essential for winning large enterprise contracts.

Founders entering the BPO space should recognize that large BPOs are aware of AI's potential and will likely attempt to leverage it themselves.

The integration of AI in customer support has led to the automation of 60% of low-priority cases, significantly reducing the need for human intervention.

AI is being deployed to enhance customer support, which is crucial because current customer service experiences are notoriously bad.