According to Gartner®, “By 2026, 50% of customer service and support organizations will have implemented GenAI-driven VAs for agent assistance/customer-facing tasks.”

However, challenges like limited context, inaccuracy, and insufficient insights often deter businesses from fully leveraging these technologies. Accela, a leading US Enterprise, faced similar issues.

This is where SUVA made a transformative impact. As a leading federated, information retrieval-augmented chatbot, it optimized performance through intelligent search, fine-tuned prompting, and a built-in analytics dashboard, resulting in: 99.7% Support Cost Savings per User Interaction

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“Your willingness to adapt and refine AVA, based on user input, has played a crucial role in ensuring its usability and effectiveness. The impact of your work extends far beyond the technical realm; it directly contributes to the efficiency, productivity, and overall success of our organization. With the support bot you've developed, we are better equipped to serve our customers, streamline processes, and achieve our goals.”

Garrick Greenhalgh MSHR, CSPO
Garrick Greenhalgh MSHR, CSPO
Director of Global Technical Education and Community

Key Takeaways:

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99.7% Reduction in Support Costs

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89% Surge in User Satisfaction

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100% Improvement in Response Performance

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