# Automating Verification Process Automating manual verification processes represents a transformative opportunity where data proofs can significantly reduce operational costs and improve efficiency. Tasks that traditionally relied on human validation can now be streamlined with zkTLS technology. For instance, an dapp can leverage data proofs to automate the verification of influencer engagement metrics, eliminating the need for screenshots and tedious manual reviews. zkTLS-based data proofs can provide verifiable evidence of such claims, distinguishing genuine influencers from those making exaggerated or false statements. Another compelling use case could be in job marketplaces, where verifying resumes and matching candidates to jobs is often labor-intensive. A large number of applicants include inaccurate information in their applications, forcing companies to rely on extensive background checks, including calls to universities and past employers. Data proofs can automate this process, enabling instant, trustworthy verification and bringing significant disruption to the recruitment industry in a positive way. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://nexaid.gitbook.io/nexaid/implementation-scenarios/automating-verification-process.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.