The State of AI Customer Support
A comprehensive look at how support teams are adopting AI in 2026. Benchmarks on adoption rates, resolution metrics, cost savings, and customer satisfaction across industries.
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32 pages of data and analysis
- AI adoption trends across company sizes
- Ticket deflection and resolution benchmarks
- Cost savings analysis by industry
- CSAT and NPS impact data
- Implementation timelines and best practices
- Predictions for AI support in 2027
Key Findings Preview
A snapshot of the most impactful data from the full report.
of support teams plan to adopt AI by end of 2026
AI adoption in customer support is accelerating rapidly, with the majority of teams either already using AI or planning to by year-end.
of L1 tickets handled by AI on average
Companies with AI support tools report that nearly half of their tier-1 support volume is fully resolved without human intervention.
saved per month per agent with AI
By deflecting routine queries, AI allows support agents to handle more complex issues, reducing the need for additional hires as companies scale.
average CSAT improvement with AI support
Customers rate AI-assisted support higher due to instant responses, consistent quality, and 24/7 availability across time zones.
first response time (down from 4 hours)
AI eliminates the queue. Customers get an accurate first response in seconds instead of waiting hours for a human agent to be available.
Methodology
This report aggregates data from 1,200+ B2B SaaS companies with 10 to 500 employees, surveyed between October 2025 and January 2026. Respondents include support managers, heads of customer experience, and operations leaders.
Performance metrics (response time, deflection rate, CSAT) were collected from anonymized platform data with consent. All data was reviewed for statistical significance and normalized across company sizes and industries. The full methodology is included in the report.
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