AuditMatic replaces a manual audit process with an automated AI-driven pipeline. It combines NLP, API integration, and rule-based logic to solve a high-value business problem efficiently.
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> ### **Challenges & Learnings**
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**Challenges**:
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##### **Challenges**:
* Creating robust NLP patterns to handle document variations.
* Ensuring smooth orchestration between React, Node.js.
* Handling API rate limits and error management for Jira and GitLab.
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**Learnings:**
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##### **Learnings:**
* Integrating NLP with rule-based expert systems.
* Handling unstructured data efficiently.
* Building a polyglot microservice architecture.
> ### **Future Roadmap**
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**Phase 1: Foundation & Entity Extraction (Completed)
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Goal: Prove the concept of automation by replacing manual document checks.
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##### **Phase 1:** Foundation & Entity Extraction (Completed)
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Key Achievement: Implemented basic checks for document existence using simple Regex and spaCy for entity extraction.
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**Goal:** Prove the concept of automation by replacing manual document checks.
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**Phase 2: Content Validation & AI Pivot (Current Focus)
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Goal: Move from "existence" to "content validation."
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**Key Achievement:** Implemented basic checks for document existence using simple Regex and spaCy for entity extraction.
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Key Achievement: Developed and implemented the RAG pipeline and Multi-LLM Strategy to semantically validate document content against live data.
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##### **Phase 2: **Content Validation & AI Pivot (Current Focus)