Insights - Ascent Business Partners

AI Change Management: Making AI Stick in the Contact Center

Written by Ascent Business Partners | Jul 21, 2025 9:49:05 PM

Deploying AI in the contact center is no longer a challenge. The real test comes after launch, when adoption determines whether AI delivers lasting value or fades into underutilization. For AI to truly transform customer experience and operations, it must become embedded in how work gets done every day.

 




Post-Go-Live: Where the Real Work Begins

Launching AI tools is just the first step. Many organizations celebrate the successful implementation of new systems, only to find that usage lags, agents revert to old workflows, and the expected ROI fails to materialize. True success lies in long-term adoption—when AI is trusted, consistently used, and drives measurable impact across teams.

Low adoption often stems from a lack of change management, insufficient training, or unclear metrics. To capture the full potential of AI, CX leaders must shift focus from implementation to enablement.

Laying the Groundwork for Sustainable AI Adoption

Change Management That Builds Buy-In
Adoption starts with trust. Leaders must clearly communicate the “why” behind AI initiatives—framing it as a tool that enhances performance, not one that replaces people. Early involvement from agents and supervisors is critical. When teams understand the vision and their role in it, they’re far more likely to embrace the change.

Ongoing Training and Enablement
AI systems evolve, and so should the training. A one-time session is not enough. Leading contact centers offer continuous education through bite-sized modules, hands-on workshops, and peer mentoring. Highlighting early wins and real-world improvements builds confidence and reinforces value.

Feedback Loops and Performance Tracking
Clear KPIs are essential for measuring AI impact and usage. Track metrics like adoption rate, resolution time, customer satisfaction, and agent engagement. Just as important is collecting qualitative feedback—what’s working, what’s not, and how tools can be improved. Iteration based on real-world usage helps AI evolve in ways that truly serve the team.

From Tools to Workflows: Embedding AI in the Day-to-Day

For AI to “stick,” it must become part of how agents operate. That means thoughtful integration into daily workflows, not siloed tools that require extra clicks or disrupt existing systems.

Successful adoption involves:

  • Embedding AI into agent desktops and knowledge bases
  • Automating routine tasks while keeping agents involved in complex scenarios
  • Using AI to complement, not override, human expertise

When well-integrated, AI reduces friction and supports agents in real time, improving both customer outcomes and employee experience.

Proven Strategies That Drive Adoption

Top-performing organizations are taking a cross-functional approach:

  • Establishing adoption teams across IT, HR, operations, and CX
  • Using gamification to incentivize tool usage and celebrate milestones
  • Piloting new features with small groups, gathering feedback, and iterating fast
  • Reinforcing adoption through leadership support and visible success stories

These strategies create momentum and normalize AI as part of the everyday workflow.

What CX Leaders Should Do Now

  • Focus on people and process, not just the platform
  • Invest in scalable training and user support
  • Track both technical usage and business outcomes
  • Build a culture where experimentation, feedback, and learning are continuous

Adoption is not a finish line—it’s a flywheel. The more teams trust and use AI, the more value it delivers, encouraging further use and refinement.

Conclusion

Long-term value from AI requires more than turning on new tools. It requires a deliberate focus on adoption, both operationally and culturally, as well as strategically. When AI becomes part of the way your team works, real transformation begins. Book your free AI assessment with Ascent to see how we help contact centers embed AI for lasting results.