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| 1 | +# Cash Reconciliation Automation v3 |
| 2 | + |
| 3 | +v3 is the planned enterprise-readiness upgrade of the cash reconciliation automation project. |
| 4 | + |
| 5 | +The goal is to evolve the current v2 prototype into a more modular, testable, and reviewable reconciliation workflow while keeping the same core design principle: |
| 6 | + |
| 7 | +> deterministic reconciliation logic first, human review for exceptions, and AI only as an assistant layer. |
| 8 | +
|
| 9 | +## Planned v3 Direction |
| 10 | + |
| 11 | +v3 will focus on four upgrade areas: |
| 12 | + |
| 13 | +1. **Data contracts and validation** |
| 14 | + - Add schema checks for bank statement and internal ledger files. |
| 15 | + - Validate required columns, data types, allowed values, and missing fields before reconciliation. |
| 16 | + |
| 17 | +2. **Modular reconciliation engine** |
| 18 | + - Refactor standardization, canonicalization, matching, exception classification, and publishing logic into separate modules. |
| 19 | + - Preserve v2 output behavior through regression tests. |
| 20 | + |
| 21 | +3. **Candidate matching and review workflow** |
| 22 | + - Keep exact and high-confidence deterministic matching first. |
| 23 | + - Add a more structured candidate review layer for possible matches and exceptions. |
| 24 | + |
| 25 | +4. **Analyst-facing review interface** |
| 26 | + - Build toward a dashboard or workbench that allows users to inspect matched transactions, possible matches, exceptions, and data-quality issues. |
| 27 | + |
| 28 | +## Proposed Structure |
| 29 | + |
| 30 | +```text |
| 31 | +versions/v3/ |
| 32 | + schemas/ |
| 33 | + contracts/ |
| 34 | + gx/ |
| 35 | + src/ |
| 36 | + adapters/ |
| 37 | + core/ |
| 38 | + generation/ |
| 39 | + matching/ |
| 40 | + reconciliation/ |
| 41 | + assistant/ |
| 42 | + orchestration/ |
| 43 | + ui/ |
| 44 | + tests/ |
| 45 | + ``` |
| 46 | +## Design Principles |
| 47 | + |
| 48 | +- Use synthetic or anonymized demonstration data only. |
| 49 | +- Keep reconciliation decisions auditable and explainable. |
| 50 | +- Treat AI-generated explanations as support, not final decision logic. |
| 51 | +- Separate public presentation assets from code, data, and generated artifacts. |
| 52 | +- Preserve existing v2 behavior before adding new functionality. |
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