The corporate front desk and the internal aid desk are undergoing a rapid transformation, increasingly handled not by human staff, but by artificial intelligence. New data from RingCentral and ServiceNow indicates a significant shift toward AI systems managing inbound calls and resolving IT tickets at scale, promising increased efficiency and cost savings for businesses of all sizes. This trend, fueled by advancements in natural language processing and machine learning, is reshaping how companies interact with both customers, and employees.
The adoption of AI in customer service is particularly notable. RingCentral, a leading provider of cloud communication solutions, reported in its fourth-quarter 2025 earnings that its AI Receptionist (AIR) now serves over 8,300 customers, a 44% increase from the previous quarter. This growth signals strong demand for automated solutions capable of handling basic customer inquiries, scheduling appointments, and routing calls without the need for human intervention. The company’s broader AI suite, encompassing pre-call reception, live agent assistance, and post-interaction analysis, demonstrates a comprehensive approach to embedding digital labor across the customer experience.
AI’s Expanding Role in the Workplace
The shift isn’t limited to external-facing roles. ServiceNow is redefining AI’s capabilities behind the scenes with the recent rollout of its Autonomous Workforce and EmployeeWorks interface. Rather than simply assisting human workers, these AI specialists are designed to independently execute entire tasks, from diagnosing and resolving common IT support tickets to processing HR and procurement requests. According to ServiceNow, its Autonomous Workforce currently resolves more than 90% of its internal Level 1 IT issues autonomously, achieving a speed increase of up to 99% compared to previous methods.
EmployeeWorks, powered in part by the Moveworks conversational AI platform, provides an AI-driven “front door” for employees, allowing them to submit requests in natural language and receive automated resolutions. This streamlines internal processes and frees up human employees to focus on more complex and strategic operate. The integration of AI into these workflows is not merely about automation; it’s about fundamentally changing how work gets done.
The Rise of “Non-Human Identities” and Security Concerns
However, this widespread adoption of AI isn’t without its challenges. Security teams are increasingly concerned about the expanding “non-human identity” surface – the number of AI agents, service accounts, and automated systems that require protection and management. Studies from KPMG have found that non-human identities now significantly outnumber human identities in many organizations, with ratios ranging from 50:1 to as high as 82:1.
This proliferation of machine identities creates a larger attack surface, making organizations more vulnerable to security breaches. A recent survey revealed that 69% of security professionals believe vulnerabilities in AI agents pose a greater threat than misuse by humans, and 86% agree that AI agents require unique, dynamic digital identities to ensure trust and security. Keyfactor research highlights the urgency of addressing these security concerns as AI becomes more deeply integrated into enterprise systems.
Consumer Adoption of Voice Assistants Fuels Demand
The increasing comfort level consumers have with voice-activated technology is also driving the demand for AI-powered customer service solutions. PYMNTS Intelligence research indicates that roughly 60% of consumers now regularly use voice assistants, creating an expectation for seamless, real-time responses from businesses over the phone.
This shift in consumer behavior is prompting companies to invest in AI technologies that can deliver consistent, on-brand service across multiple channels, including voice. AI Receptionists, like RingCentral’s AIR, are capable of handling calls in multiple languages and seamlessly transferring complex issues to human agents with detailed call summaries, ensuring a smooth and efficient customer experience.
The economic benefits of this transition are clear: faster service delivery, reduced labor costs, and the potential to reallocate human talent to more strategic initiatives. However, navigating the security risks and workforce transformation challenges will be crucial for organizations seeking to fully realize the potential of AI-powered front desks and help desks.
Looking ahead, the focus will likely shift toward refining AI’s ability to handle increasingly complex tasks and ensuring robust security measures are in place to protect against emerging threats. ServiceNow plans to continue expanding the capabilities of its Autonomous Workforce, while RingCentral will likely focus on enhancing the natural language processing capabilities of its AI Receptionist. The next major update from both companies regarding AI integration is expected during their second-quarter 2026 earnings reports.
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