# Desk log ADR-WIE-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/what-is-explainable-ai  
**Run ID:** `ADR-WIE-20260825`  
**Date:** 2026-08-25 (Tuesday)  
**Operator:** InfiniSynapse Data Team  
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))  
**Contact for contradictions:** zhuhl@infinisynapse.com

## What this file is

A downloadable record of two passes on a monthly refund-rate pack. The first pass blessed a caption (“Refunds rose because of mix”). The second opened the plan, both statements, and both intermediate tables, and found a mid-month SKU remap. It is **not** a named-logo customer case, a vendor bake-off, or a BEA / NIST / ENISA / Stanford / McKinsey experiment.

## Four-step method (reproducible)

1. Bind a monthly refund-rate goal on a read-only orders source plus a one-page note (marketplace excluded). Sanitize first.
2. Accept the first “mix” caption as the control. Score three checks: plan opened, SQL opened, file opened.
3. Walk the same pack as objects: plan → statement → intermediate table → file. Score the same three checks.
4. Keep both artifacts side by side. Stop if two of the three checks fail.

## Source and goal

| Field | Value |
|---|---|
| Sources | One orders table, about 12,685 fulfilled rows across two complete calendar months, plus a one-page refund-rate note |
| Standing goal | Why did refund rate move last month versus the prior month on the orders source we already use |
| Contrast | Blessed caption vs inspected trail |

## Results

| Retrieval state | Plan opened | SQL opened | File opened |
|---|---|---|---|
| Blessed caption | 0 | 0 | 0 |
| Inspected trail | 1 | 1 | 1 |

Fulfilled rows on this run: 6,275 (earlier month) vs 6,410 (later month). The unlabeled caption said “mix.” The object pass named the collision: one SKU family remapped mid-month and the first statement treated the remap as the same family. The reviewer rejected the first file and accepted the second.

Wall-clock for the successful pass: about 7 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when the plan, both statements, and both intermediate tables sat in one folder.

## What you may cite

- Artifact counts 0/0/0 → 1/1/1, 6,275 vs 6,410 fulfilled rows, ~12,685 lines, ~7 min wall-clock, run ID
- First-party aggregate CSV and verify script next to this log (row check only; not a third-party audit)

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that BEA / NIST / ENISA / UK data ethics / SEC / Stanford / McKinsey / Gartner / OWASP / WAIC scored this run

## Independent context (not this run)

- [BEA methodologies](https://www.bea.gov/resources/methodologies)
- [NIST FIPS 140-3](https://csrc.nist.gov/publications/detail/fips/140/3/final)
- [ENISA incident response](https://www.enisa.europa.eu/topics/incident-response)
- [UK data ethics framework](https://www.gov.uk/government/publications/data-ethics-framework)
- [SEC EDGAR](https://www.sec.gov/edgar)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index)
- [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
- [W3C Data Catalog Vocabulary (DCAT)](https://www.w3.org/TR/vocab-dcat-3/)
- [DataCite](https://datacite.org/)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition) (self-described; not independently verified in this log)