Get real with AI: Everything you need to know about using generative AI in customer service
Uncover the power of AI in customer service
Deliver faster resolutions with self service automation
Reduce customer wait times and agent workload by enhancing self-service with AI-driven chatbots. Use intelligent chatbots to automate resolutions and get bot flow recommendations based on past engagement patterns for improved deflection rates.
Help agents provide high-quality support with generative AI
By offering contextual insights and real-time guidance, AI acts as your agents’ trusted personal assistant. Generative AI rephrases, summarizes, and helps improve the quality of responses–empowering agents to resolve more queries effectively and faster.
Optimize operations with data backed decisions
Surface critical insights and trends easily without crunching numbers or manually building exhaustive reports. AI analyzes support data and offers the next-best action to help improve team performance and drive seamless customer experiences.
The AI effect: How businesses are driving real results
Source: Beta launch of generative AI-enhanced Freddy AI–Freshworks’ native AI engine
More resources on implementing ai in customer service
Know your CX maturity
Take this quick assessment designed by Forrester to know your CX maturity and get tailored recommendations on how to elevate the customer experience you offer.
5 Steps to delivering personalization in CX
Learn how to deliver truly proactive and personalized experiences with AI-powered chatbots and intelligent automation.
Software built for today, ready to scale for tomorrow
Learn more about Freshworks’ powerful AI-driven customer service and support solutions.
FAQs on implementing AI in customer support
How does AI impact customer service?
AI has a significant impact on customer service. AI makes it possible to offer personalized customer support at scale while improving response times and channel availability. Incorporating AI-driven automation in your support processes frees up agent time to handle more complex, high-value tasks. With access to a wealth of data, AI powers advanced analytics to know your customer preferences and needs better.
What is an example of AI in customer service?
Chatbots are a great example of AI used in customer service. AI-powered chatbots can interact with customers in real-time and provide instant responses round the clock. Using natural language processing(NLP) algorithms, chatbots can learn from previous customer interactions, understand queries better, and respond accurately
How does the future of AI in customer service look?
With huge strides in generative AI and predictive analytics, AI will further enhance customer support—making customer service more personal and empathetic. AI will enable businesses to give hyper-personalized experiences with insights derived from vast amounts of customer data. Chatbots will be able to give more human-like responses across channels, becoming proficient in understanding context, sentiment, and intent. AI will also become an excellent and trusted assistant for every agent, providing real-time information and recommendations.