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What AI companies build with call centers and BPOs data
By SourceX Editorial · Updated
Short answer
AI companies use call centers and BPOs data to build voice agents, agent-assist tools and QA automation. The most useful records are call recordings, QA scorecards, scripts and resolution notes, because they show how real work in the field gets done.
Voice agents#
Models for voice agents learn from real examples of the work, such as call recordings and QA scorecards, prepared with personal details removed.
Agent-assist tools#
Models for agent-assist tools learn from real examples of the work, such as call recordings and QA scorecards, prepared with personal details removed.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
QA automation#
Models for QA automation learn from real examples of the work, such as call recordings and QA scorecards, prepared with personal details removed.
How your records get there#
SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.
Frequently asked questions
Will AI built from our data compete with us?
Licenses can limit uses and buyers. Raise it during the rights review.
Related resources
- IndustryBPO & contact centers data
- InsightCan call centers and BPOs sell their data to AI companies?
- IndustryCustomer support data
- QuestionCan CRM data be licensed?
- QuestionDo AI labs buy audio data?
- InsightCan property management companies sell their data to AI companies?
- InsightCan e-commerce brands sell their data to AI companies?
- SolutionOperational data: the step-by-step record of how work gets done
- DataSales and CRM data
- DataOperations data
- GlossaryEnterprise data
- GlossaryOperational data
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