AI agents for customer service and support represent a shift from earlier automation techniques to solutions powered by generative AI (GenAI) that can act with autonomy to fulfill service and support outcomes for customers. As customer service leaders struggle with costofservice, employee turnover, customer experience and operational efficiency challenges, the promise of agentic AI that can manage service processes and take actions with minimal or no human supervision is increasingly attractive. Who are the target users of AI Agents for Customer Service and Support? The primary users of AI agents in customer service and support are organizations with significant customer interaction volumes, such as large enterprises, e-commerce platforms, telecommunications providers, financial institutions, and utilities. Mid-size businesses seeking to scale their support operations efficiently also benefit from these solutions. Key stakeholders include customer service and support teams, contact center managers, digital transformation leaders, and IT departments responsible for customer experience technologies. Additionally, executives looking to improve operational efficiency and reduce service costs are important beneficiaries. What are the core capabilities of AI Agents for Customer Service and Support? - Autonomous Goal Fulfillment: The system must independently pursue customer service outcomes (such as resolving an issue or preventing escalation), not just react to prompts or follow static flows. - Reasoning‑Based Decision‑Making: The system must be able to reason through customer situations and decide what to do next dynamically, without relying solely on predefined rules or scripts. - Ability to Take Actions: The system must be able to execute real service actions within enterprise systems to progress or complete resolution, rather than only suggest actions to humans. What are the benefits of AI Agents for Customer Service and Support? AI agents offer organizations enhanced visibility into customer needs, reduced service costs, and improved operational efficiency. Customer service teams benefit from lower workloads, reduced burnout, and the ability to focus on higher-value interactions. Customers experience faster, more accurate resolutions and a consistently positive service experience. For executives, these solutions drive measurable improvements in customer satisfaction, retention, and overall service performance, positioning the organization for long-term success in a competitive marketplace.
Workforce engagement management (WEM) software is a collection of technologies that help manage the customer service workforce to ensure a high level of operational performance while elevating employee well-being, discretionary effort and satisfaction. The core capabilities of WEM products include: • Evaluation and improvement • Time management • Metrics and recognition (that is, performance management) • Assistance and task management • Voice of the employee (VoE) feedback • Recruitment and onboarding
Gartner defines contact center as a service (CCaaS) as solutions offering SaaS-based applications that enable customer service departments to manage multichannel customer interactions holistically from both a customer-experience and employee-experience perspective. CCaaS is a key technology platform used to support the customer service experience, whether it be self-service or assisted by customer service representatives. All organizations need to offer customer assistance. The preference is for remote support via voice and digital channels over physical presence in offices and stores, though it is common for organizations to offer multiple options. The ambition is for customers to self-serve assistance, through web portals or chatbots. But it is also recognized that complex issues still need the support of employees. CCaaS technology is instrumental in orchestrating both self- and assisted-service engagement with customers. The technology can also manage the quality of engagement between the customer and the customer service representative, recognizing that premium customer experiences are achieved through premium employee experiences.
Gartner defines conversational AI platforms (CAIPs) as SaaS products that primarily enable the development of applications simulating human conversation across multiple channels and media. CAIPs leverage composite AI, including generative AI (GenAI) and natural language technologies. Conversations can use a mix of modalities such as text, voice and visual content. To support the building of conversational applications, platforms provide extensive coding options, from pro-code to no-code. Application areas include chatbots, virtual assistants (VAs) and conversational AI (CAI) agents. CAIPs are used to create, deploy and manage AI-driven conversational interfaces. These platforms enable businesses to develop VAs and conversational AI Agents that facilitate both customer-facing and internal interactions through pro-code/low-code/no-code tools. CAIPs empower businesses to centralize and democratize the development and management of multiple, diverse CAI initiatives, leading to more cohesive and efficient operations. The blend of capabilities provided by CAIPs is distinctive compared to those offered by other CAI solutions, such as targeted extensions for CAI found in other enterprise applications (e.g., CRM systems, contact center platforms) or stand-alone GenAI-native apps. In comparison, CAIPs are a better fit for strategic and scalable enterprise-grade CAI adoption.
The market for SA platforms in customer service and support is an application that analyzes speech content in customer interactions in real time and postcontact. Vendors providing these services offer the following solutions: -Transcription and metadata for traits of the interaction, including sentiment analysis -Interface for designing workflows and visualizing data -Storage and flexible deployment options -Ability to customize speech models, encrypt and redact sensitive data, and integrate with the enterprise ecosystem. Informed application of SA technology capabilities will help customer service and support leaders monitor and evaluate customer interactions to improve customer and employee experience. SA platforms can either be stand-alone analytics platforms with integration capabilities or can be included natively as part of broader customer engagement suites.