Insights Abacus

Customer Experience and AI: from reactive support to continuous relationship

Home / Insights / Customer Experience and AI: from reactive support to continuous relationship
On this page

Introduction

Customer expectations are changing faster than the systems that are supposed to manage them.

AI is no longer a competitive advantage-it is becoming an essential component of customer experience strategies.

96 percent of CX professionals say AI has met or exceeded expectations in terms of engagement.

But again, the point is not to adopt it. The point is to really integrating it into business processes and systems.

 

The context: what’s going on

AI is transforming the customer experience on multiple levels:

  • Transition from reactive support to proactive interaction
  • Personalization on every touchpoint
  • Integration between digital and physical channels

In Italy, adoption is growing but remains uneven:

  • Strong use in large companies
  • Delay in SMEs
  • Growing weight of e-commerce, finance and telco

The result is the same as already seen on AI: growing adoption, still limited execution.

Where problems arise

The main critical issues emerge when moving from theory to practice:

  • Data privacy and compliance
    personalize without violating GDPR
  • Bias in models
    Risk of bias in results
  • Integration with legacy systems
    CRMs and ERPs not designed for AI
  • Organizational readiness
    Lack of internal expertise
  • Hidden costs
    training, governance and maintenance

Not surprisingly, about 70 percent of AI projects do not achieve the expected ROI.

What really changes in the CX

AI enables three main levers:

  • Predictive analytics
    anticipate needs and behaviors
  • Conversational AI
    fluid and personalized interactions
  • Hyper-personalization
    experiences built on real-time data

But the real leap occurs when these capabilities are integrated into a coherent system.

CX e AI insight abacus group

Where you are investing

The most advanced companies are working on:

  • Real-time customer intelligence
  • Omnichannel continuity
  • AI agentics for orchestration
  • Proprietary and vertical LLMs
  • Ethical and transparent personalization

The difference is no longer in the technology, but in the ability to orchestrate it.

CX e AI insight abacus group

Abacus approach

Abacus works on customer experience as an integrated system, not as an additional layer.

Key areas:

  • Predictive analytics for customer insights
    to anticipate churn and behavior
  • Conversational AI
    To manage interactions in a scalable way
  • Omnichannel integration
    To ensure continuity between touchpoints
  • AI ethics and data governance
    for compliance and trust
  • Proprietary LLMs
    For vertical applications and data control
  • AI agentics
    to orchestrate complex processes

Expected Results.

A structured approach to AI-enabled CX enables:

  • Increased retention and loyalty
  • Reducing the operational load
  • Faster response time
  • Increased consistency of customer experience
  • Increased trust through transparency and compliance
CX e AI insight abacus group

Case studies

CX e AI insight abacus group

Background
Minerva AI, a U.S.-based company developing intelligent assistants for electric vehicles

Challenge
Create a real-time support platform by integrating multiple data sources

Solution

  • Predictive algorithms to anticipate requests
  • Integration between telemetry, CRM and documentation
  • Scalable infrastructure based on Kubernetes
  • Proprietary LLM trained on internal data

Results

  • Full integration of support channels
  • 100% infrastructure automation
  • Significant improvement in speed and quality of responses
  • Increased operational capacity of operators

Download

Download the full version of the insight.

Customer Experience and AI: from reactive support to continuous relationship

Full Insight

Download PDF
RELATED

Related Insight

Learn about other Abacus insights related to the topics of AI, ICT and business technology evolution.

AI
in ICT

From market growth to operational challenges: what Italian companies really need to turn AI into concrete value.

Cybersecurity
in the age of IoT

From exponential device growth to new attack surfaces: how to build security, governance, and operational resilience.

Cloud
and Edge

Scalability, real-time and control: because cloud and edge are not alternatives, but components of a single operational architecture.

Want to improve your customer experience with AI?

Let’s talk about your needs and build a concrete approach.

Contact us