2026 Transformation Report
The year customer service changed shape.
Drawing on millions of AI-handled conversations and a survey of service leaders, the 2026 Transformation Report maps how deep AI deployment is remaking the economics and the experience of customer service — and where the leaders are pulling ahead.
The headline
AI stopped assisting and started resolving.
The shift in 2026 was not more chatbots — it was agents that complete the work end to end. That single change moves the whole cost and quality curve, and this report quantifies it.
66%
of conversations now resolved with no human involved
Report finding: across teams with a mature AI agent deployment, roughly two in three conversations reach resolution autonomously — up sharply from a year earlier.
What the data shows
The numbers behind the shift
Illustrative findings from teams running deep AI deployments, compared with their pre-AI baselines.
- faster first response, from minutes to seconds
- 5x
- lower cost per resolved conversation
- 40%
- coverage across every channel and language
- 24/7
- higher CSAT once resolution became instant
- +18pt
What separates the leaders
The gap is deployment depth, not access to AI.
- Leaders ground every answer in a single source of truth and cite it — trust compounds, escalations fall.
- They automate actions, not just answers, so the agent completes the task instead of describing it.
- They run one agent across voice, chat and email in multiple languages — no fragmented context.
- They treat every human correction as training data, so quality climbs week over week.
Free report
Read the 2026 Transformation Report.
The full findings, the benchmark tables and the leader playbook — the reference for anyone planning their AI customer-service strategy this year.
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Common questions
Where do these figures come from?
They are illustrative findings drawn from aggregated, anonymized AI-handled conversations and a survey of customer-service leaders across industries. They describe patterns we see, not a guarantee for any single team.
Is this specific to one industry?
No. The report spans retail, financial services, healthcare, travel and more — because the underlying shift toward autonomous resolution is industry-agnostic.
Will the results apply to my team?
Your mileage depends on deployment depth — grounding, actions and coverage. The report is paired with the AI Agent Blueprint precisely so you can turn these findings into results.
Turn the findings into your results.
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