# Desk log ADR-XAM-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/explainable-ai-methods  
**Run ID:** `ADR-XAM-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 answering a monthly refund-rate question with a LIME-style “mix / seasonality” slide, then opening the inspected plan → repair → family table trail. It is **not** a named-logo customer case, a vendor bake-off, or a BEA / Fed / Stanford / McKinsey / NIST experiment.

## Four-step method (reproducible)

1. Bind a monthly operations-adjacent goal on a read-only orders source plus a one-page remap note locking SKU family. Sanitize first.
2. Request a Markdown memo, two charts, and intermediate tables for the plan, the repair, and the family table.
3. Accept the first LIME-style slide as the control. Score three checks: plan named, repair visible, family table open.
4. Open the inspected trail and score the same three checks. Keep first and second artifacts side by side.

## Source and goal

| Field | Value |
|---|---|
| Sources | One orders table, about 12,685 fulfilled lines across two complete months, plus a one-page remap note locking SKU family |
| Standing goal | Why did refund rate move last month versus the prior month |
| Contrast | LIME-style “mix / seasonality” slide vs inspected plan → repair → family table |

## Results

| Retrieval state | Plan named | Repair visible | Family table open |
|---|---|---|---|
| LIME-style “mix” slide | 0 | 0 | 0 |
| Inspected plan → repair → table | 1 | 1 | 1 |

Fulfilled rows on this run: 6,275 (prior month) vs 6,410 (later month). The unlabeled pack ranked “mix” and “seasonality.” The inspected trail named the collision: one SKU remapped mid-month and landed in a different family. The reviewer rejected the first pack and accepted the second.

Wall-clock for the successful trail: 10 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when the plan, the repair, and the family table 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, ~10 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 EDPS / UK open standards / BEA / Fed / IMF / Stanford / McKinsey / Gartner / NIST / OWASP / WAIC scored this run

## Independent context (not this run)

- [European Data Protection Supervisor](https://edps.europa.eu/)
- [UK open standards principles](https://www.gov.uk/guidance/open-standards-principles)
- [BEA methodologies](https://www.bea.gov/resources/methodologies)
- [Federal Reserve Data](https://www.federalreserve.gov/data.htm)
- [IMF Data](https://www.imf.org/en/Data)
- [NIST Four Principles of Explainable Artificial Intelligence](https://www.nist.gov/publications/four-principles-explainable-artificial-intelligence)
- [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)