Artificial Intelligence in CX
Artificial intelligence (AI) is transforming customer experience by revolutionizing how businesses engage with their customers. AI-driven CX leverages advanced technologies like natural language processing (NLP) and machine learning (ML) to deliver personalized and efficient customer interactions.
By harnessing AI, businesses can automate routine tasks such as handling basic customer inquiries or processing orders, freeing up human agents to focus on more complex and value-added activities. This automation not only reduces operational costs but also ensures consistent and rapid responses to customer queries, ultimately enhancing the overall customer experience. Furthermore, AI-driven analytics provide valuable insights into customer behavior and preferences, empowering businesses to anticipate needs and deliver targeted solutions.
From chatbots to data analysis, the resources below cover how AI is advancing personalization, business operations and loyalty in CX. CX Network also has a series of guides related to AI, including: AI in CX: A CX Network guide, The ethical AI guide for customer experience, The complete guide to generative AI for customer experience, What is agentic AI? A CX Network guide, AI agents for customer experience: A complete CX Network guide, The CX Network guide to conversational AI, A guide to measuring the ROI on AI-powered CX, The predictive CX guide, The CX Network guide to machine customers, The CX Network guide to AI regulation for CX, and the CX Network guide to agentic commerce.
AI contact center regulations 2026-2028: A compliance guide for CX leaders
November 09 by Dave Rennyson
New AI regulations in the US and EU put compliance on the company deploying the bot. Here’s the timeline and how to build independent AI governance.
The cost of cost reduction: Effective AI governance can prevent false savings
November 05 by Sue Duris
AI governance is usually sold as risk management. Its most underrated job is economic – it is the discipline that stops cost-cutting from becoming cost-deferral
How will agentic commerce shape Black Friday 2026?
November 05 by Melanie Mingas
How will agentic AI shape the golden quarter in 2026? CX Network looks into the new tools available and how they could change customer engagement and sales
A framework for measuring AI agent performance in CX
November 03 by CX Network
How practitioners and service leaders can measure the performance of AI agents, and the metrics they should – and should not – use
Salesforce acquires voice agent leader Cresta
November 03 by CX Network
Definitive agreement signed to acquire voice-first operating system for CX
Product managers need a new operating system for the AI era
November 02 by Nayan Teja
Nayan Teja explains how AI is reshaping product work from coordination to judgment
Barclays and PayPal among major names to confirm AI job cuts
October 27 by CX Network
CX Network looks into why AI is increasingly cited as the reason organizations are cutting significant proportions of their workforces.
AI agent management: The new CX role you can’t ignore
October 22 by Melanie Mingas
AI isn’t just chasing how CX and service work – it’s re-writing the job description. CX Network explores the trend
How to improve AI accuracy with better enterprise knowledge
October 19 by Sudarshan Reddy Gurampatti
Before asking whether your AI needs a better model, it may be worth asking a simpler question
Who audits your AI Agents? How to establish independent QA for contact centers
October 19 by Dave Rennyson
Your AI agents are on the phone. But who says they are doing the right thing? Dave Rennyson presents a five-point assessment framework to avoid PR disasters
The CX Network guide to voice AI for CX
November 08 by CX Network
From the evolution of voice AI to the brands using it today and what organizations need to know before they commit to a system
A guide to measuring the ROI on AI-powered CX
October 27 by CX Network
CX leaders from Orpi, LG Electronics, CXPA Finland, Afinity, Evri, Lumexa, Aldo Group, Five9 and others explain how to measure the returns on your top tech investments
