Strengthening Contact Center Insights Through Enterprise AI Implementation
A major utility provider sought to expand its use of contact center data through its first enterprise AI implementation. Greencastle served as project manager, coordinating AI and development vendors, business subject-matter experts, and IT resources across planning, testing, production readiness, and rollout. The platform analyzes approximately 10% of annual call volume, providing contact center leaders with aggregate insights into call reasons, sentiment, and customer interactions. Greencastle also supported the governance, validation, onboarding, and operational readiness needed to introduce the capability within the client’s environment. Today, leadership uses these insights to inform training strategy, customer journey improvements, and IVR optimization efforts.
THE SOLUTION
Greencastle managed enterprise AI implementation, vendor coordination, model validation, and organizational change management to deliver a secure analytics platform for contact center operations.
Benefits
- Broader Contact Center Visibility
Increased annual call review coverage from less than 1% to roughly 10%, enabling broader visibility into customer interactions and contact center trends.
- Strategic Decision Support
Delivered AI-enabled transcription, sentiment analysis, call classification, and operational insights that support CSR training strategies, customer journey improvements, and future IVR optimization initiatives.
- Enhanced Customer Journey Insights
Call-reason and interaction data provide leadership with additional insight into customer needs and can support customer journey and IVR optimization efforts.
APPROACH
Coordinating Enterprise AI Delivery
Greencastle managed the implementation lifecycle for the client’s first enterprise AI solution, coordinating planning, vendor onboarding, delivery execution, stakeholder communications, risk management, and production readiness. The team aligned AI and development vendors with business subject-matter experts and IT resources while maintaining visibility across technical and business dependencies. This structure provided a coordinated approach to introducing a new AI capability within the client’s existing operating environment.
Validating the Platform for Production Use
Greencastle coordinated model validation and technical testing across client and vendor teams to prepare the platform for production. Activities included accuracy testing, integration testing, user acceptance testing, load testing, smoke testing, and post-launch monitoring. By bringing business and technical stakeholders together throughout validation, Greencastle supported both platform performance and the relevance of the information being presented to contact center leadership.
Aligning Deployment with Business Use
As deployment priorities evolved, Greencastle aligned implementation activities to the approved use of the platform for aggregate contact center analytics. The team supported onboarding, governance, documentation, issue routing, and transition activities while maintaining focus on how leadership could use call-level insights in existing business processes. The resulting capability provides managers and executives with a broader view of customer interactions and supports ongoing work in training, customer experience, and contact center optimization.
CONCLUSION
Greencastle helped a major utility provider introduce its first enterprise AI capability for contact center analytics by coordinating vendors, managing implementation activities, supporting platform validation, and establishing governance and operational readiness. The platform now analyzes approximately 40,000 calls annually and provides leadership with aggregate insights into customer needs, call reasons, sentiment, and interaction patterns. These insights are being used to inform CSR training strategy, identify customer journey improvement opportunities, and support IVR optimization, giving the client a more comprehensive view of contact center activity and customer interactions.
