APAC AI Adoption Gap Widens in Customer Support Metrics
A new industry benchmark details how high-performing teams use AI to outpace regional medians by over 20% in resolution rates.
Updated on Oct. 29, 2026 in Artificial Intelligence
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Freshworks released its Customer Service Benchmark Report 2026, detailing AI adoption and performance metrics across 33,889 accounts. The analysis of 1.2 billion tickets reveals significant performance gaps between high-performing teams and regional medians in the Asia-Pacific region.
Why it matters
The report highlights the operational shift toward AI-driven customer support, where early adopters are achieving significantly higher resolution efficiencies than their peers. This trajectory signals a widening gap between organizations effectively automating ticket deflection and those still relying on traditional workflows.
Top-performing teams achieve a 43.18% first-contact resolution rate, more than double the 18.63% regional median. These trendsetters also maintain a 99.32% service-level agreement compliance rate compared to the 95.35% regional benchmark.
The players
Freshworks
A software company specializing in customer engagement and IT service management platforms.
The details
The report classifies organizations as trendsetters if they fall into the top 20% of performance metrics, including resolution speed and service-level agreement compliance. AI-agent deflection — the automated resolution of customer queries without human intervention — reached an average rate of 83.1% among adopting teams. To process the data, researchers analyzed 1.2 billion tickets across 63 industries to establish these operational benchmarks.
Timeline
June 2025 to May 2026: Data collection period for the report.
October 29, 2026: Official publication of the benchmark findings.
Next 12 months: Period during which 54.2% of non-adopting teams plan to invest in AI.
The Tech Race
This benchmark defines the current performance ceiling for AI-augmented support desks in the Asia-Pacific market. It serves as a yardstick for the 54.2% of teams currently planning to integrate AI, marking a clear divide between automation-led operations and traditional support structures.
Support teams in the Asia-Pacific region can use these benchmarks to calibrate their own performance against industry leaders. For teams yet to adopt AI, the data suggests that scaling to an 83.1% deflection rate is the current target for reaching top-tier operational efficiency.
The takeaway
Performance data from 1.2 billion tickets confirms that AI adoption is a primary differentiator for high-velocity support teams. Teams should track the 83.1% average AI-agent deflection rate as a primary benchmark for their own automation projects.
What happens next
Observe the investment activity over the next 12 months as the majority of non-adopting teams fulfill their planned AI integration, which may shift the regional performance medians documented in this 2026 report.
Further reading
For broader trends in enterprise automation, visit our Artificial Intelligence section.
Source note: This article includes information reported by DQC.
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