We are proud to announce that Tetherfi has been recognised at the Singapore Business Review Technology Excellence Awards 2026, winning in the AI – Computer Software category for its innovative Automated Quality Monitoring (AQM) solution.
Presented by Singapore Business Review, a leading business publication in Singapore, the Technology Excellence Awards honor organizations that are driving impactful innovation and leading digital transformation across industries.
Tetherfi’s AQM solution is designed to transform traditional quality assurance processes by moving beyond limited, sampling-based reviews to comprehensive monitoring of all interactions and workflows. Leveraging advanced AI models and automated anomaly detection, the platform provides real-time visibility into operational performance across both structured and unstructured data sources.
By enabling 100% analysis of interactions in real time, AQM ensures that no critical insight is missed, unlike traditional sampling methods. By identifying patterns and potential issues early, the platform helps reduce operational risks, improve efficiency, and enhance overall service quality. Teams using the solution have reported significant improvements, including faster quality review cycles and increased operational readiness.
Beyond compliance, AQM supports data-driven coaching and performance improvement by delivering actionable insights into team and individual performance. Rather than replacing human effort, the platform is designed to augment and empower teams, enabling them to be more effective, efficient, and productive. This strengthens both workforce capability and the overall customer experience.
We extend our sincere gratitude to our teams, partners, and customers for their continued trust and support. This recognition reinforces Tetherfi’s commitment to delivering AI-powered solutions that drive meaningful business outcomes.
👉 Read more about this recognition: Tetherfi wins Singapore Business Review Technology Excellence Awards 2026 | Singapore Business Revi…
