Implementing Generative Voice AI in BPO: What Worked in the US but Failed in India

At Oxyvin, we are always exploring innovative technologies to enhance operational efficiency and reduce costs for our clients. One such initiative was the implementation ofGenerative Voice AIin BPO for our contact center operations. While the results were highly encouraging in one market, they presented unexpected challenges in another.

The Success Story in implementing Generative Voice AI in BPO

The US Campaign

We first deployed Generative Voice AI in BPO for a campaign targeting the US market. The results were impressive:

• The AI delivered near-human voice quality in English.
• It maintained a consistent tone and cadence during interactions.
• Agent costs were significantly reduced.

The AI voice handled routine customer interactions naturally and effectively. For the client, this meant better customer engagement and lower operational expenses.

The Indian Market: A Different Outcome

Following our US success, we piloted the same Generative Voice AI in BPO solution for a campaign in India. The outcome, however, was quite different:

• The AI struggled to recognize and respond to various regional languages and accents such as Hindi, Tamil, and Bengali.
• Many calls were either misunderstood or dropped, negatively impacting customer experience.
• The cost per AI-driven call in India turned out to be higher than using skilled human agents.

This clearly highlighted that the same Generative Voice AI in BPO solution could produce vastly different results depending on the market.

Cost Comparison

Costing in the US

The cost per AI-driven call ranged from $0.08 to $0.12, while the average cost per call with human agents was around $0.50 to $0.70. This translated to nearly 80% savings, making it a cost-effective solution for high-volume campaigns with straightforward interactions.

Costing in India

The cost per AI-driven call in India was between ₹6 to ₹9 (approximately $0.07 to $0.11), while the average cost per call using skilled human agents was only ₹3.50 to ₹4.50 (approximately $0.04 to $0.055). Despite automation, the cost per successful AI call was almost twice as high due to lower call completion rates and poor customer satisfaction

Key Takeaways

Generative Voice AI in BPO ‘s ROI is market-specific

What works well in one geography may not work in another due to differences in language complexity, cultural nuances, and cost structures.

Voice AI is still evolving for local markets

While Generative Voice AI in BPO has made impressive strides in English, it still struggles with the linguistic diversity and nuance required for markets like India.

A hybrid approach might be more practical

Using AI for simpler or repetitive tasks while relying on human agents for complex or multilingual interactions could provide a better balance between cost and effectiveness.

Our Perspective at Oxyvin

We see great potential in AI to transform the BPO and customer service industry. However, our experience reinforces that Generative Voice AI should be applied where it truly adds value. Technology for the sake of novelty doesn’t always serve the end user or the bottom line.

At Oxyvin, we continue to focus on blending human expertise with smart automation, ensuring our clients benefit from both innovation and reliability.

Want to explore a customized voice solution for your business? Visit us atwww.oxyvin.com to learn more or schedule a consultation.

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