Customer service from 2022 to 2025: from storms to AI agents

Customer Service 2025: From Chaos to AI Agents — An Analysis CrossCX
Talk to someone
I am

Get an immediate response from AI—no form required. Would you prefer to speak with an expert? Schedule an appointment.

Today we asked an AI to compare the two McKinsey articles on the state of customer relations in 2022 and 2024, to review Gartner’s and BCG’s insights on 2025, and to help us draw conclusions about customer service in 2025. Analysis based on the two McKinsey articles cited, particularly the surveys and key figures presented in “ The State of Customer Care in 2022 ” and “Where Is Customer Care in 2024? ” Supplemented by two articles from Gartner and BCG. Thank you once again to McKinsey, Gartner, and BCG for these valuable summaries and insights—enjoy the read!
The small arrows >>> link to various interesting sections of the two articles.

2022, a tempestuous restart

In 2022, customer relations are already facing a “perfect storm.” McKinsey points out that companies are simultaneously experiencing a sharp increase in call volumes, a talent shortage, and higher-than-ever customer expectations (driven by inflation)​ >>>. Digital channels are being rolled out (chatbots, online portals), but adoption remains low (only 10% of digital platforms are fully utilized​ >>> ), meaning that traditional call centers are struggling to disappear. In light of this context, customer service leaders have identified three key priorities for 2022–2024​:
Retaining and developing talent: The quality of recruitment and team motivation are becoming strategic priorities to offset high turnover​ >>>.
Simplifying and improving the customer experience (CX) by reducing calls and associated costs: The focus is on the efficiency of each interaction while maintaining satisfaction.
Strengthening digital and analytical tools: investing in online channels, chatbots, andadvanced analytics to automate common requests and better understand the customer journey​ >>>.
Faced with these challenges, companies in 2022 are refocusing their strategy around three main pillars >>> ​: human capital (corporate culture, listening to employees to retain agents), the digitization of support (developing self-service and chatbots), and AI & analytics (anticipating customer needs and coaching teams using data). For example, nearly two-thirds of organizations that have reduced their call volume attribute this to better self-service solutions >>>. Overall, in 2022, companies plan to increase digital interactions by about 50% by 2024 >>>, in the hope of easing the burden on call centers.

2024: a transition to AI in action

By 2024, the transformation is accelerating. McKinsey notes that “Gen Z picks up the phone, while boomers use chat” >>> ​ – a surprising reversal of generational stereotypes (the youngest, tech-savvy generation still values human contact). The 2024 survey identifies three major areas of focus for customer service managers​ >>>:
Broader priorities: the focus is shifting from CX alone to a multidimensional approach that includes revenue goals and technological transformation​. Managers increasingly view customer service as a growth driver (upsell/cross-sell) beyond mere satisfaction.
Future-Ready AI Ecosystems: Organizations are investing heavily in integrating artificial intelligence (generative or otherwise) into support processes to automate repetitive tasks and enhance real-time analytics.
Increased Upskilling and Outsourcing: Upskilling teams (in AI management, new technologies, and data analysis) is considered crucial, as is collaborating with external partners to drive the transformation.
This period also sees several trends taking hold: call volumes continue to rise (57% of managers anticipate an increase of about 20% in calls within the next 1–2 years), and cost pressures remain intense (37% still cite cost control as a key priority). At the same time, multichannel service is becoming the norm: customers—across all age groups—want the flexibility to switch between phone, chat, email, or messaging depending on their needs. Thus, despite the rise of digital, McKinsey notes that consumers of all generations still rank the phone among their preferred channels, particularly in premium segments.

2025: the era of AI agents and the "golden" experience

Looking ahead to 2025, generative AI is emerging as a top priority. Gartner highlights that support managers are relying on conversational AI to revolutionize interactions​ >>> and that they aim to integrate these technologies to boost sales (upselling/cross-selling) and operational efficiency >>>. The five key trends identified for 2025 include:
Generative conversational AI (GenAI) for customer support.
Growth Through Service: an upselling and cross-selling strategy driven by customer service.
Technology Culture: strengthening digital literacy and understanding of AI among managers.
Knowledge Management: updating knowledge bases to power AI agents.
Leveraging Insights: increased sharing of customer feedback to improve products and services.

Echoing this, BCG's 2025 report proclaims the advent of a "golden era" for customer experience thanks to autonomous agents and new intelligent hardware >>>. According to BCG, the convergence of AI agents and technological innovations will enable a more personalized experience at lower cost >>>. The first concrete cases demonstrate this: the integration of generative AI in support centers has already led to productivity gains of 15% to 30%, and up to 80% in some pilot projects. Outside operations, virtual co-pilots (AI assistants) are emerging in retail and service: they answer customer questions, manage returns and propose personalized offers, freeing up human agents for complex cases and "human" moments in the customer journey. In short, 2025 confirms the 2024 vision: AI transforms customer service into an unprecedented lever of efficiency and engagement.

Predictions vs. reality (2022/2024 vs. 2025)

Overall, many of the 2022-2024 forecasts have come true. McKinsey had anticipated in 2022 a strong rise in digital (target +50% digital interactions) and the widespread use of AI to relieve teams, which was confirmed in 2025 with the explosion in the use of generative AI. Call volumes have indeed continued to rise, validating the 2022 warning (61% of leaders were already seeing call growth, and 58% were forecasting further increases). On the other hand, digitalization has not eradicated the telephone: on the contrary, younger generations continue to prefer voice contact, and digital platforms remain under-utilized (only 10% of platforms are fully adopted). In 2024, McKinsey predicted a "hyperefficient" turnaround via AI >>>, and we can see that AI tools (bots, virtual agents) are fulfilling the central role announced. Finally, the commercial dimension has gained ground: what was only a hope in 2022 is confirmed by Gartner 2025: customer service has become a major revenue driver >>>.

Emerging trends outside AI in 2025

Beyond AI, several emerging trends are taking shape for customer service in 2025. The human factor is once again taking center stage: companies are investing in corporate culture, active listening, and agent training, recognizing that human capital remains the key differentiator for their service​ >>>.Omnichannel approaches are leading to a rethinking of customer journeys: consumers naturally juggle phone calls, chat, social media, and email, which requires seamless, fluid solutions​ >>>. Furthermore, there is a renewed focus on transparency and ethics: customer data protection, diversity, and social responsibility are gaining importance as indicators of trust. Finally, advanced personalization (beyond AI)—through in-depth data analysis, agents’ emotional intelligence, and innovative formats (video chat, voice-based instant messaging, etc.)—is emerging as a major driver of customer loyalty in 2025.

Summary: Customer Service in 2025

Between 2022 and 2025, customer service has entered an era where technology and people converge. The challenges of 2022 (rising volumes, talent shortages, cost pressures) persist, but companies now have new tools at their disposal: conversational AI and automation are integrated into daily business. At the same time, investment in teams and multi-channel experience has progressed, so as not to lose the relational and personalized dimension of assistance. These four years have confirmed that customer relations is no longer an isolated cost center: it has become a driver of innovation, efficiency and growth. Predictions have largely turned into reality: 2025 appears to be the year when the promise of a customer service that is both hyper-efficient and humanly rich really begins to materialize.

Sources: McKinsey analyses(2022, 2024), Gartner (2025) and BCG (2025).

Talk to someone
I am

Get an immediate response from AI—no form required. Would you prefer to speak with an expert? Schedule an appointment.

Our news

Cross CX news and updates

Une conseillère clientèle au casque, souriante, extraite du film Les visages de la qualité
CrossCX News Opinion Pieces and Interviews

Les visages de la qualité : hommage à celles et ceux qui prennent notre problème en main

Un film d’une minute vingt pour remercier les techniciens, conseillers, vendeurs et livreurs qui, chaque jour, font du problème d’un client le leur.

Read the article
CrossCX in your AI assistant: CX Ask · MCP for Claude, ChatGPT, Mistral, and Microsoft Copilot
Features News CrossCX

CX Ask · MCP: CrossCX from Claude, ChatGPT, Mistral, and Microsoft Copilot

CX Ask · MCP opens CrossCX to AI assistants: evaluations, statistics, reports, actions, and settings via Claude, ChatGPT, Mistral, and Microsoft Copilot. What this enables, how it’s built, and what it takes to activate it.

Read the article
AI takes the easy route. Who helps humans with the hard stuff? — AI-assisted debriefing, CrossCX
News CrossCX Quality Monitoring Opinion Pieces and Interviews

When AI Takes Care of the Easy Conversations: Who Helps Agents Handle Everything Else?

A lower volume doesn't necessarily mean a lighter workload. Automation is gradually shifting human interactions toward the most complex situations. Why debriefing is becoming the best support for advisors, and how AI can prepare them for it without monitoring them.

Read the article
Quality Monitoring 's Business Layer in the Age of LLMs — CrossCX
CrossCX News Opinion Pieces and Interviews

CrossCX, the business layer of Quality Monitoring in the age of LLMs

Positioning · Quality Monitoring and LLMs Summarizing a call, finding a topic, explaining why a customer was dissatisfied: in Quality Monitoring, LLMs can already do this, and they’ll do it even better in the future. So that’s not where we’re building the value of CrossCX. It begins the moment a good answer […]

Read the article
Monitoring Chatbots in Customer Service — CrossCX
Features Quality Monitoring Speech Analytics Voice of the Customer

Oversight of conversational bots in customer service.

Monitoring Conversational Bots · Quality Monitoring Voice and chat bots have become a full-fledged customer service channel. And like any channel, they benefit from being listened to, understood, and continuously improved—that’s the whole point of monitoring conversational bots. The good news is that everything you need for […]

Read the article
Quality Monitoring AI in 8 Steps, Without Compromising Compliance — CrossCX
Quality Monitoring Opinion Pieces and Interviews

How to Implement AI Quality Monitoring in 8 Steps Without Compromising Compliance

Table of Contents — Quality Monitoring AI in 8 Steps · · Chapters Select a chapter to go directly to it Collapse Many quality teams continue to evaluate only a small portion of their calls, chats, or emails, then extrapolate the results to the entire volume of activity. This traditional sampling model has long been acceptable—but today it is showing its limitations […]

Read the article
AI-Assisted Employee Self-Assessment — Collaborative Quality Monitoring  CrossCX
Features Quality Monitoring Speech Analytics

AI-assisted agent self-assessment: towards collaborative Quality Monitoring in contact centers

AI-assisted agent self-assessment, automatically prepared debriefings, and mini-quizzes in the LMS: the method for collaborative Quality Monitoring.

Read the article
Speech analytics : AI turns conversations into insights — CrossCX
CrossCX News Speech Analytics Opinion Pieces and Interviews

Speech Analytics: when AI transforms conversation into strategic intelligence

Conversation Analysis: A Silent Revolution Every day, companies accumulate thousands of hours of calls, meetings, and customer interactions. These conversations are full of valuable information… but without speech analytics, they often remain untapped. speech analytics, or conversation analysis using artificial intelligence, gives a voice to the data. Thanks to AI, […]

Read the article
Quality Monitoring  Debriefing: Supervisor and Interview Counselor — CrossCX
CrossCX News Opinion Pieces and Interviews

The importance of debriefing in Quality Monitoring

Updated on September 29, 2026 — AI-assisted debriefing, AI agents, new workflows Debriefing is an integral part of Quality Monitoring in contact centers and customer service: it’s the moment when an assessment turns into progress. Since the first version of this article, two things have changed. Simple conversations […]

Read the article
Customer Service 2025: From Chaos to AI Agents — An Analysis CrossCX
CrossCX News Opinion Pieces and Interviews

Customer service from 2022 to 2025: from storms to AI agents

Today we asked an AI to compare the two McKinsey articles on the state of customer relations in 2022 and 2024, to review the insights from Gartner and BCG regarding 2025, and to help us draw conclusions about customer service in 2025. Analysis based on the two […]

Read the article
Checklist: 13 Criteria for Choosing an Automated Quality Monitoring ation Solution
Quality Monitoring Speech Analytics Opinion Pieces and Interviews

13 key criteria for choosing an automated Quality Monitoring and Speech Analytics solution

Choosing an automated Quality Monitoring and Speech Analytics tool is a strategic priority for customer-focused organizations. Whether in contact centers, customer service departments, or customer experience teams, professionals expect such a solution to combine advanced technology with business value. Here is a 13-point checklist for […]

Read the article
Employee Engagement in Contact Centers — CrossCX
Features Opinion Pieces and Interviews

Employee Engagement: a foundation for contact center performance

Customer experience is often at the heart of companies' preoccupations, yet one key element is sometimes overlooked: contact center employee engagement. All too often, performance improvement is based on analyzing interactions, monitoring KPIs and collecting customer feedback, without this information leading to action.

Read the article

Home Blog CrossCX News Customer service from 2022 to 2025: from storms to AI agents

Cross-cx-quality monitoring and AI-conversation-analysis

Contact Us.

Book a Meeting