Cisco’s customer experience (CX) organization transcends traditional support roles, operating as a comprehensive lifecycle management system that leverages AI to streamline customer interactions. At Cisco Live Amsterdam, Carlos Pereira, Chief Architect of CX at Cisco, elaborated on how the organization enhances every stage of the customer journey, from product deployment to renewal.

Cisco CX's approach is multifaceted. It tracks initial licensing, maximizes product adoption, facilitates expansion into new use cases, and ultimately supports renewals to prevent churn. This ensures customers derive maximum value from Cisco products throughout their lifecycle, bolstered by customer success teams and support services that handle everything from implementations to troubleshooting.

AI plays a pivotal role, creating data-driven feedback loops that relay crucial insights from support teams back to engineering. These channels identify patterns in usage and defects, enhancing product development with both pre-release testing and ongoing post-deployment monitoring.

A significant initiative, Cisco IQ, exemplifies the benefits of AI integration. Launched in October 2025, it offers a unified interface for support and professional services, powered by AI-driven insights and automation. This platform improves asset visibility and provides telemetry-centered recommendations, enabling organizations to make informed decisions based on real-time data.

Moreover, the use of intent-based adoption metrics represents a shift from tracking mere feature usage to focusing on the desired business outcomes. For instance, a financial institution may prioritize achieving specific network segmentation goals rather than simply using specific features.

By automating routine tasks, Cisco’s AI applications weave efficiency into the customer experience, empowering human experts to focus on complex problem-solving. This collaboration between AI and human intelligence enhances overall customer engagement. Ultimately, the strategic use of AI has led to measurable improvements in renewal rates and customer relationships, exemplifying the transformative capability of AI in modern customer service environments.

Oracle has introduced a series of role-based AI agents aimed at transforming marketing, sales, and services from reactive to proactive workflows, enhancing customer experiences significantly. These AI agents automate repetitive and predictive tasks, aiding decision-making and fostering team alignment for improved efficiency.

By leveraging shared data across marketing, sales, and service channels, Oracle ensures that customers receive consistent messages and support, regardless of the touchpoint. Chris Leone, Oracle's Executive Vice President of Applications Development, emphasized the shift from slow, reactive processes to proactive workflows, enhancing customer relations and driving revenue growth.

The marketing agents streamline campaign planning, allowing teams to design relevant campaigns swiftly. Tools like Program Planning and Customer Insights analyze engagement history to target specific customer segments, reducing reliance on manual data analysis. Content creation is expedited with Copywriting and Image Picker agents, ensuring consistency across campaigns.

In sales, the Contact Insights agent simplifies research and planning, enabling teams to approach customers with tailored communications. The Quote Generation agent accelerates deal execution, translating customer inputs into accurate product configurations. The Renewal agent safeguards existing customer relationships, analyzing contract health to prevent potential revenue loss.

Service teams benefit from agents like Start-of-Day, which personalizes daily task summaries for technicians, and Work Order Scheduling, which optimizes service appointments. The Customer Self Service agent enhances customer support by providing instant answers, reducing call volumes, while the Attachment Processing agent ensures service representatives have relevant information on hand.

Through these AI agents, Oracle not only streamlines internal processes but also elevates customer engagement, resulting in increased satisfaction, loyalty, and supporting overall revenue goals.

Emperor Financial Services Group (EFSG), a prominent player in Hong Kong's bullion, forex, and CFD trading sectors, has embraced AI technology to centralize its applications and enhance customer service. By implementing Microsoft Dynamics 365 Contact Center, Dynamics 365 Customer Service, Microsoft Power Platform, and Microsoft Copilot Studio, EFSG has transformed its operations, enabling personalized support and optimizing agility, scalability, and adaptability.

Angela Chen, Senior Director of Business Operations, emphasizes that “Implementing Dynamics 365 has streamlined processes and boosted productivity.” The unified platform integrates data effectively and provides actionable customer insights, empowering teams to make informed decisions.

The launch of the user-friendly app "Eunify" exemplifies EFSG’s commitment to innovation, allowing clients to access their trading accounts and execute transactions conveniently. However, prior to the integration of Dynamics 365, EFSG faced operational fragmentation that hindered customer service efficiency. Employees juggled multiple communication channels—phones, mobile devices, and web portals—leading to disorganized data and prolonged response times.

With Dynamics 365, customer service representatives can manage all inquiries across various channels from a single interface, fostering a cohesive customer experience. The use of Power Automate has automated workflows, while Power Apps and Power BI provide advanced analytics, enhancing decision-making and operational efficiency. Copilot Studio further enriches customer interactions by allowing the creation of intelligent chatbots that address common queries and support representatives in real-time.

Moreover, features like AI-driven speech recognition and text-to-speech capabilities streamline phone interactions, ensuring accurate record-keeping and efficient customer engagement. This integration has ultimately led to a significant reduction in operational costs and an upsurge in customer satisfaction, positioning EFSG for continuous innovation and growth in the financial services marketplace.

Top 7 AI-Powered Voice of Customer Platforms for 2026

As organizations evolve, Voice of Customer (VoC) platforms have transformed from mere feedback tools into vital systems for translating customer insights into actionable business decisions. By 2026, these AI-enhanced platforms go beyond simply gathering fragmented customer feedback from surveys, support tickets, reviews, and social media. They synthesize this data, producing a comprehensive understanding of customer experiences in real-time.

AI-powered VoC platforms tackle four key challenges: managing the sheer volume of data, integrating diverse feedback sources, interpreting customer language, and delivering timely insights. They leverage natural language processing, automation, and pattern recognition to streamline processes, enabling organizations to make informed decisions swiftly.

Concrete Applications and Benefits:

1. Revuze: This platform transforms unstructured customer language into structured insights, enhancing decision-making in dynamic environments. Its ability to perform semantic analysis and detect trends ensures that businesses stay attuned to shifting customer expectations.

2. Forsta: With a focus on structured VoC programs, Forsta employs AI for segmentation and longitudinal studies, assisting organizations in measuring performance over time effectively.

3. Sprinklr: By integrating feedback into omnichannel management, Sprinklr allows brands to respond to real-time customer sentiment, ensuring they remain relevant and agile in a fast-paced digital landscape.

4. InMoment: Connecting feedback to operational data, InMoment empowers organizations to improve customer experiences, driving strategic enhancements based on holistic insights.

5. SentiSum: This platform focuses on operational insights, linking customer interactions to efficiency and cost savings, ultimately addressing systemic issues effectively.

6. Calabrio: Known for its contact center intelligence, Calabrio analyzes voice interactions to reveal customer sentiment quickly, aiding organizations in refining support strategies.

7. MonkeyLearn: This customizable platform allows teams to create tailored feedback analysis pipelines, lending flexibility to organizations looking to innovate their VoC strategies.

Overall, AI-driven VoC platforms facilitate continuous monitoring and learning, enabling organizations to act on customer feedback proactively rather than reactively, fostering long-term success and enhanced customer relationships.