The problem
Connectivity does not equal release confidence.
ERP mappings, schemas, API behavior, and error formats evolve. Teams often reconstruct release evidence from spreadsheets, screenshots, raw XML, and API logs after something changes.
Product brief
YichenGuard helps teams that already implement KSeF connectivity understand whether a release changed supported invoice behavior, what evidence proves it, and what a human should review next.
The problem
ERP mappings, schemas, API behavior, and error formats evolve. Teams often reconstruct release evidence from spreadsheets, screenshots, raw XML, and API logs after something changes.
The value
Versioned scenarios, frozen inputs, deterministic outcomes, semantic differences, bounded diagnosis, and a human assessment create an evidence trail that is easier to trust and review.
Product architecture
The portfolio value comes from visible product judgment, not decorative complexity.
Validation, assertions, semantic differences, severity, and completeness remain code-owned.
Every release signal points back to reviewable facts, provenance, and stable evidence identities.
AI may advise later; only an authorized person can record PASS, WARN, or BLOCK.
Interactive case study
Each route is a product-native task, not a presentation slide.
Define release context, baseline, coverage, and deterministic policies.
→Align every scenario against a human-approved PASS baseline.
→Move from result to difference, provenance, and bounded advisory context.
→Complete the review controls and preserve a clear assessment record.
→Honest scope