PKO Leasing boosts call center efficiency with AI-powered automation
PKO Leasing, a leading leasing company in Poland, faced persistent challenges with their outdated on-premises call center platform. Agents and IT teams were encumbered by manual processes, limited IVR configurability, restricted reporting, and frequent system failures. Seeking a robust and modern customer service solution, PKO Leasing piloted and fully implemented Dynamics 365 Contact Center—integrated with Azure Communication Services, Power BI, and Power Automate. The deployed solution incorporates Microsoft Copilot to automate call summarization and sentiment analysis, significantly enhancing agent productivity and reducing the need for IT intervention. Within a rapid rollout, PKO Leasing integrated telephony with Azure Communication Services and synchronized business data via Azure Data Factory and Service Bus. Power BI dashboards provided real-time insights into performance metrics, allowing managers to independently tailor their analytics environment. Automated call recordings and surveys facilitated compliance, improved issue tracking, and helped maintain high regulatory standards. Managers gained autonomy to adjust IVR configurations and extract actionable insights with minimal technical assistance. Automated call summaries saved more than 550 hours per month for agents. The implementation produced a marked increase in customer satisfaction metrics, with Net Promoter Score rising five points and first call resolution improving from 71% to 74%. The enhanced system paved the way for additional Microsoft-powered features, such as rapid onboarding of new staff and knowledge base creation using Copilot. Nine months post-implementation, organizational efficiency and the quality of customer interactions saw lasting improvements.
- Organization
- PKO Leasing
- Industry
- Finance
- Location
- Poland
Reported outcomes
+74%
quantified impactOther quantified impact
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered call summarization and sentiment analysis in call center
- 2Real-time analytics and performance management for customer service operations
- 3Automated IVR and workflow configuration with no-code tools
- Legacy on-premises call center solution caused regular service interruptions.
- Agents and managers spent excessive time on manual call summaries and IVR adjustments.
- Limited ability to customize or update IVR settings without IT support.
- Basic reporting restricted visibility into call center performance and customer satisfaction.
- Frequent failures led to increased customer frustration and inefficiency.
- Implemented Dynamics 365 Contact Center for omnichannel customer support.
- Leveraged Microsoft Copilot to automate call summarization and sentiment analysis.
- Integrated telephony with Azure Communication Services for seamless call routing.
- Rolled out Power BI dashboards for real-time reporting, monitoring, and customizable analytics.
- Automated workflows using Power Automate for efficiency in call handling and survey distribution.
- Enabled managers to independently update IVR settings and dashboards without IT involvement.
- Saved more than 550 agent hours per month on call summaries.
- Raised Net Promoter Score by five points post-implementation.
- Boosted first call resolution rate from 71% to 74%.
- Enabled rapid adjustment of IVR and dashboards, decreasing dependency on IT.
- Improved regulatory compliance with automated surveys and recording.
Architecture
The implementation integrates Dynamics 365 Contact Center as a unified platform for all customer interactions. Azure Communication Services provides direct routing to the company's telephony provider. Data synchronization and automated workflows are managed with Azure Data Factory, Service Bus, and Power Automate. Power BI dashboards are layered on top for real-time monitoring and customizable analytics. Microsoft Copilot automates call summarization and sentiment analysis within Dynamics 365 Customer Service.
Implementation partners1
Sources & evidence2
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