Process Converted — Page 3

Silent failures hide downstream until someone else's incident reveals the damage done.

A ground-truth corpus and field-level testing catch extraction drift before customers do.

AI extraction APIs require rewriting validation and exception handling downstream.

Enterprises should combine both tools based on document complexity and speed requirements.

Phase the cutover in stages to catch regressions before production reaches them.

Running both systems live catches migration failures before users see extracted data errors.

Position-based extraction fails silently when document layouts shift.

Vendor accuracy claims routinely drop 15 to 25 points in production, and benchmarks explain why.