Overview
AI is now a standard part of customer service operations, but the 2026 State of Customer Service Operations shows it hasn't reduced the need for human oversight, it's increased it. Drawing on the Connext Global 2026 AI Oversight Survey of 1,000 U.S. adults and Connext client data, this whitepaper examines why AI output still requires heavy review, where it breaks down most often, and how leading organizations are pairing AI with trained offshore teams to scale customer support without sacrificing quality or driving up costs.
What You'll Learn
- Why 63% of AI users say AI output is only correct sometimes, and what that means for review workflows
- The top failure modes behind AI errors in customer-facing interactions
- Why oversight demand is increasing instead of decreasing as AI adoption grows
- How leading teams structure offshore staff for both service delivery and AI oversight, not volume alone
- The five-part formula behind a successful offshore and AI hybrid model, including escalation playbooks and co-management accountability
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The Challenge
A company-wide hiring freeze left the client’s project teams without enough in-house estimators to keep pace with a growing pipeline of construction and engineering bids. In an industry where precise cost estimating is the foundation of effective project budgeting and resource allocation, every delayed estimate risked a missed submission deadline — and a lost contract.
The Approach
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