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How AI is reshaping the BPO business model

Company

The Team at CallMiner

September 17, 2024

Contact center QA
Contact center QA

For the business process outsourcing (BPO) industry, there’s a seismic shift underway. Traditionally seen as cost centers, BPOs are now leveraging artificial intelligence (AI) to transform into strategic value drivers. Our latest whitepaper explores how AI is revolutionizing the BPO business model, providing insights into how BPOs can transition from transactional service providers to indispensable business partners.

BPOs today face a critical inflection point. Historically, their success was measured by transactional key performance indicators (KPIs) like first call resolution (FCR) and average handle time (AHT). However, AI and automation are reshaping these metrics, as they take over routine interactions. This leaves human agents to handle more complex customer issues. To stay relevant, BPOs must evolve from being mere cost centers to strategic advisors, impacting broader business metrics and enhancing the customer journey.

The new BPO model

In response to these trends, BPOs are repositioning themselves as strategic value drivers and customer experience (CX) advisors. With AI-based insights into CX trends, they are moving beyond the contact center to influence marketing, sales, product development, and more. This transition is powered by technologies like conversation intelligence, which analyzes 100% of customer interactions to uncover valuable insights.

Conversation intelligence enables BPOs to analyze every customer conversation. This helps identify areas for improvement in call flows and agent interactions. By integrating these insights into one-to-one coaching and training programs, BPOs can significantly improve agent satisfaction and retention rates, while improving customer satisfaction in the process.

Beyond the contact center, BPOs are expanding their scope by using conversation intelligence to provide strategic analytics to clients. This includes insights into marketing effectiveness, product development, and sales strategies. By offering these value-added services, BPOs can diversify their revenue streams and solidify their role as strategic partners.

How conversation intelligence can impact the BPO contact center

While conversation intelligence can impact a wide variety of business outcomes, many organizations should start with the baseline. For example, conversation intelligence can improve agent experience. By implementing agent well-being scorecards, BPOs can monitor agent stress levels and provide necessary breaks and reinforcement. This helps reduce agent churn and build a healthier workplace culture.

Conversation intelligence can also automate quality assurance (QA) processes, allowing BPOs to analyze 100% of customer interactions. This enables targeted coaching and data-driven feedback, helping agents meet and exceed KPIs.

In addition, conversation intelligence can provide real-time alerts to help agents navigate difficult conversations, improving compliance and performance. Real-time alerts can also help agents become more empathetic, such as in situations where a vulnerable customer is involved.

Learn how AI is transforming the BPO business model

In our whitepaper, we review a variety of ways AI is fundamentally transforming the BPO business model. Using case studies and examples, we’ll show you how to leverage conversation intelligence to transition from a cost center to a strategic value driver. This will not only enhance your own value proposition, but also help your clients achieve their most ambitious business goals.

Quality Monitoring Contact Center Operations Speech & Conversation Analytics Executive Intelligence North America EMEA BPO Artificial Intelligence