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Explain AI's end-to-end banking QE contribution with synchronized narration - #46
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The banking story now shows what AI contributes from an approved payment requirement through unit/API/UI tests, fixtures, CI execution, diagnosis, repair and release evidence. A nine-step walkthrough and one PAY-142 artifact trail distinguish AI-generated candidates, deterministic runner results and human decisions. The three-state comparison separates manual QE, modernization and incremental AI assistance.
Executive and technical slides use the same scenario at different depths. Existing slide IDs remain stable; guided routes integrate the new material. Eight revised recordings and measured English captions drive the diagram highlights, including seeking and pause. All 116 slides have narration; the four PDF editions advance to v1.22.0. Release packaging now checks current slide coverage and deduplicates shared audio assets.
Validation: Chromium and WebKit checked 139 caption-aligned states across 12 flow diagrams, actual recorded audio, guided routes, final-slide stopping and shared audio focus. Desktop/mobile layout checks covered all four decks; all 116 PDF pages passed edition and content checks, with new pages visually reviewed. Site links/search, narration asset hashes/timing, generation/caption tests and release packaging checks passed. The GitHub workflow runs the full publication suite before deployment and release.
PAY-142 artifacts and results remain authored illustrations. The eight-stage QA effort model and existing 3D film are unchanged.