Use case: How a contact center improves its CSAT using AI simulations

In many contact centers, key performance indicators (CSAT, FCR, NPS) are stagnating despite significant efforts to improve scripts, processes, and tools. The missing link? Agents' actual experience in complex situations.

This use case demonstrates how a B2B contact center used a program to AI simulations to significantly improve its CSAT and the customer experience.

1. Initial situation

  • Contact center with 80 agents, multi-channel (telephone, email, chat).
  • CSAT global around 78 %, stagnating for 18 months.
  • FCR is correct but could be improved, especially in cases with high technical complexity.
  • Intensive initial training, but little refresher training and guided practice afterwards.

2. Objectives of the AI simulation program

The customer service department sets three main objectives:

  • Improve CSAT by 4 points in 12 months.
  • Reduce by 10 % the volume of iterations on certain contact patterns.
  • Strengthen agents' confidence in emotionally charged situations.

3. Implementation of the Ai-Coaching system

3.1. Selection of priority cases

Together with the supervisors and a few experienced agents, the team identifies:

  • The 5 most sensitive points of contact for customers.
  • Situations where dissatisfaction is greatest.
  • Recurring errors by agents (awkward language, lack of empathy, failure to rephrase…).

3.2. Creating realistic AI scenarios

Thanks to the platform Ai-Coaching, These situations are transformed into simulation scenarios:

  • Angry customers following a billing error.
  • Users lost in an online procedure.
  • Customers threatening to cancel after several incidents.

Each scenario incorporates different customer profiles (calm, hurried, aggressive…) and different levels of difficulty.

4. Program Outline for Agents

4.1. 20 minutes of simulation per week

Each agent follows a mini-course:

  • A "basic" simulation to get to grips with the tool.
  • A series of scenarios focused on the most problematic patterns.
  • An automated debriefing with personalized recommendations.

4.2. Group debriefings with supervisors

Supervisors use the recordings (or transcripts) to facilitate workshops:

  • Listening to key passages and discussing possible formulations.
  • Highlighting the identified best practices.
  • Co-creation of more effective "flexible scripts".

5. Results observed after 6 to 9 months

By cross-referencing platform data and operational indicators:

  • CSAT global increased from 78 % to 83 % (+5 points).
  • Decrease of 12 % in reiterations on the targeted patterns.
  • Significant increase in reported confidence by agents on complex cases.
  • Reduction in average processing time on certain scenarios, without degradation of quality.

6. Key Success Factors

  • A well-positioned pilot on a limited scope before generalization.
  • Clear communication on the purpose of the system: development, not control.
  • The active involvement of supervisors in facilitating debriefings.
  • Alignment with other initiatives (training, managerial coaching, script review).

How Ai-Coaching can replicate this case in your case

Ai-Coaching provides contact centers:

  • A library of ready-to-use scenarios for the most common customer support situations.
  • The ability to create customized scenarios based on your own real-life cases.
  • Dashboards focused on the impact on the CSAT and the quality of service.
  • Methodological support to build and manage your program.

Coupled with our article AI Customer Support Training: The Method to Sustainably Improve Your CSAT, This use case offers a reproducible model.

FAQ – Contact Center, CSAT and AI Simulations

Did the agents readily agree to train with the AI?

After some initial reluctance, the majority appreciated being able to "make mistakes without risk" and progress at their own pace.

How much time did the supervisors have to spend on the system?

After the launch phase, approximately 1 to 2 hours per week to prepare and facilitate group debriefings.

Can the same approach be applied to an outsourced contact center?

Yes, provided that the service provider is aligned with the objectives and the program is integrated into the contract and the performance indicators.

Do you run a contact center and want to boost your CSAT? Request an Ai-Coaching demo to explore how AI simulations can transform your results.