AI Validation Services
How to Verify AI Data Capture Accuracy with Structured Human Review.
CPI Data combines AI, OCR, and Human Review for Data Capture Success:
AI systems are powerful tools for workflow and information capture if they are based on accurate, up-to-date data. Their results should be carefully verified for accuracy and usefulness. Achieving reliable, high-quality results requires pairing AI and OCR technologies with meaningful human oversight at every stage.
Valid and reliable data are the cornerstone of any AI-driven workflow and output. The data used to train AI models, as well as the data captured in AI results, commonly requires human review before it can be confidently delivered to an end user.
A structured human review process should validate the following dimensions of data capture using AI:
- Accuracy – Confirming that captured data correctly reflects the source information
- Completeness – Ensuring that no required fields, records, or values are missing
- Data Integrity – Verifying that data is uncorrupted and structurally sound
- Consistency – Checking that data is uniform and free of contradictions
- Timeliness – Confirming that data is current and relevant to the period it represents
- Relevance – Ensuring that captured data is appropriate and applicable for its intended use
- Affordability – Outsourcing the review can make the capture process financially manageable
The Team at CPI has the skills and experience to support your automation and AI programs. AI validation can be completed in CPI’s programs or remotely and securely, in a client’s system.
Count on CPI for affordable AI data capture review, quality, and success.
