The organization relied on manual processes to review customer support emails, making quality assurance slow, inconsistent, and resource-intensive. Variations in agent responses affected communication quality, increased review effort, and made it difficult to maintain consistent service standards across customer interactions.
As customer volumes continued to grow, training agents and maintaining high-quality support became increasingly challenging. The client required an AI-driven solution that could automatically evaluate email quality, provide continuous coaching, and improve customer experience at scale.
Digile implemented a Gen-AI powered email scoring platform on Microsoft Azure that automated quality evaluation using historical customer interactions and communication guidelines. The solution analyzed email content in real time, generated quality scores, and delivered actionable recommendations to improve agent performance.
By integrating AI-driven scoring, compliance validation, and real-time analytics, the platform standardized customer communications while significantly reducing manual review effort and enabling continuous quality improvement across support operations.
The solution included:
The digital collaboration platform transformed project delivery by giving every stakeholder access to trusted, up-to-date engineering information throughout the project lifecycle.
- Centralized project documentation
- Improved document governance
- Faster engineering collaboration
- Streamlined design reviews
- Enhanced BIM adoption
- Better project visibility
- Reduced information silos
- Improved project delivery efficiency
By implementing a connected digital collaboration platform, Digile enabled Lebuhraya Borneo Utara to deliver one of Malaysia’s largest highway infrastructure projects with greater efficiency, governance, and coordination.