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Digital Workers: The Next Wave of Business Automation

By Eric Kamande

Artificial intelligence (AI) is progressing rapidly, and its impact on General Business Services (GBS) is becoming increasingly profound. A new wave of AI-driven agents is emerging, tools that not only assist but act autonomously to perform tasks, make decisions, and adjust to new data without human intervention. As AI advances, these agents are poised to reshape various industries by enabling businesses to automate complex workflows, optimize decision-making, and scale their operations more efficiently. The push toward AI agents is driven by the demand for systems that can handle not just individual tasks but end-to-end processes, minimizing the need for manual oversight and intervention.

In the broader context of GBS, these AI agents are proving valuable in several areas, such as customer service, data management, and decision support. According to recent data, the AI agent market is expected to grow significantly, with billions of dollars being invested in startups focused on this technology. As a result, investors and tech experts are paying closer attention to how these agents can become indispensable tools for businesses across the globe.

In this snapshot, we take a closer look at two early-stage companies, Buster and Coval, that are tapping into this growing space. While still refining their products and expanding their reach, both are representative of the emerging capabilities of AI agents and the potential they hold to disrupt traditional business processes.

Buster: AI Digital Workers for Streamlined Data Operations
Founded by Blake Rouse and Dallin Bentley in Silicon Valley, Buster AI is pioneering AI agents that automate the management of data operations. Their technology aims to reduce the manual workload of routine tasks such as data updates, report generation, and model testing. By deploying AI digital workers, businesses can maintain continuously optimized data pipelines, free from bottlenecks. These agents integrate seamlessly with continuous integration and deployment (CI/CD) systems, enabling real-time updates and improvements without requiring human intervention.

Buster’s approach has far-reaching implications for organizations aiming to scale workflows and accelerate data-driven insights. Early implementations demonstrate how autonomous systems can enhance data management with greater accuracy and speed. By automating repetitive processes, businesses can redirect focus toward strategic decision-making and innovation. Though still refining its platform, Buster offers a compelling glimpse into a future where AI agents handle the heavy lifting of data operations, empowering businesses to scale more effectively.

Coval: Real-Time Testing and Optimization for Voice and Chat Agents
Founded by Brooke Hopkins in Silicon Valley, Coval is addressing the growing demand for reliable voice and chat agents in customer interactions. As companies increasingly adopt chatbots and voice assistants, ensuring their reliability in real-world applications has become a critical challenge. Coval’s automated testing platform simulates thousands of real-world scenarios to evaluate the performance of these AI-driven agents. This proactive approach allows businesses to identify and resolve issues before deployment, enhancing both user experience and operational efficiency.

Coval goes beyond testing by integrating into CI/CD workflows, providing continuous performance monitoring and enabling businesses to make data-driven improvements. Its ability to detect regressions during development ensures that voice and chat agents are deployment-ready at scale. As Coval continues to refine its platform, it is emerging as a valuable tool for businesses needing reliable and high-performing AI-driven customer service solutions.

AI agents represent a pivotal shift in how businesses approach operational efficiency. The ability to automate complex processes, from data management to customer service interactions, is enabling companies to scale quickly and effectively. Early-stage companies like Buster and Coval offer valuable insights into the practical applications of AI agents in General Business Services. While these companies are still in their infancy, their focus on automating routine tasks and improving the reliability of AI systems signals the potential for broader adoption across industries.

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