The Impact of AI on Customer Success: A Conversation with Executives

Rachel Skroback
  -  
May 25, 2023
  -  
3 minutes

Throughout the past few months, Matik has been hosting dinners with customer success executives to foster collaboration and conversation on topics within the CS field, including challenges, successes, predictions, and more. At the most recent executive dinner, the conversation revolved primarily around the evolving role of AI within customer success. Read on for an overview of the key takeaways from this discussion.

1. Speeding Up Time-Consuming, Manual Tasks

The adoption of AI is expected to allow businesses to lean more into digital customer success, catering to customer needs without direct human intervention. A main benefit of AI highlighted in this conversation was its ability to streamline email communication for CS teams. With AI, CS teams can:

  • Craft more personalized and effective emails in a fraction of the time.
  • Free up time to focus on building relationships and showcasing product value.

This efficiency boost allows teams to spend less time on repetitive work and more on strategic initiatives.

2. Security Concerns and Changing Regulations

While AI brings productivity benefits, the conversation also highlighted security concerns:

  • Companies need to take precautions to protect sensitive data.
  • Shifts in security regulations around AI are expected.
  • Establishing internal guidelines ensures responsible and compliant AI use.

3. Incorporating AI Into Product

As many customers experience the benefits of AI, they are increasingly expecting it to be part of the software they invest in. Executives shared that their organizations are:

  • Exploring the addition of AI into product offerings.
  • Working to implement AI quickly to stay ahead of the curve.

Early adoption can help companies meet customer expectations and remain competitive.

4. Ensuring Accuracy

Executives are excited to explore AI’s capabilities for customer success, but they emphasized that AI-generated information isn’t always accurate or personalized. Key considerations include:

  • Maintaining robust quality assurance to ensure high standards.
  • Balancing efficiency with accuracy to preserve trust.

Conclusion: The Future of AI in Customer Success

This discussion revealed strong interest in leveraging AI within CS operations, from crafting emails to product enhancements. However, questions around security and accuracy remain, and teams will need to monitor both closely as AI capabilities evolve.

To learn more about AI for customer success, check out this blog where we tested ChatGPT for common Customer Success processes.

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See Matik in Action—Request a Demo

Throughout the past few months, Matik has been hosting dinners with customer success executives to foster collaboration and conversation on topics within the CS field, including challenges, successes, predictions, and more. At the most recent executive dinner, the conversation revolved primarily around the evolving role of AI within customer success. Read on for an overview of the key takeaways from this discussion.

1. Speeding Up Time-Consuming, Manual Tasks

The adoption of AI is expected to allow businesses to lean more into digital customer success, catering to customer needs without direct human intervention. A main benefit of AI highlighted in this conversation was its ability to streamline email communication for CS teams. With AI, CS teams can:

  • Craft more personalized and effective emails in a fraction of the time.
  • Free up time to focus on building relationships and showcasing product value.

This efficiency boost allows teams to spend less time on repetitive work and more on strategic initiatives.

2. Security Concerns and Changing Regulations

While AI brings productivity benefits, the conversation also highlighted security concerns:

  • Companies need to take precautions to protect sensitive data.
  • Shifts in security regulations around AI are expected.
  • Establishing internal guidelines ensures responsible and compliant AI use.

3. Incorporating AI Into Product

As many customers experience the benefits of AI, they are increasingly expecting it to be part of the software they invest in. Executives shared that their organizations are:

  • Exploring the addition of AI into product offerings.
  • Working to implement AI quickly to stay ahead of the curve.

Early adoption can help companies meet customer expectations and remain competitive.

4. Ensuring Accuracy

Executives are excited to explore AI’s capabilities for customer success, but they emphasized that AI-generated information isn’t always accurate or personalized. Key considerations include:

  • Maintaining robust quality assurance to ensure high standards.
  • Balancing efficiency with accuracy to preserve trust.

Conclusion: The Future of AI in Customer Success

This discussion revealed strong interest in leveraging AI within CS operations, from crafting emails to product enhancements. However, questions around security and accuracy remain, and teams will need to monitor both closely as AI capabilities evolve.

To learn more about AI for customer success, check out this blog where we tested ChatGPT for common Customer Success processes.

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See Matik in Action—Request a Demo

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