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Tax Management
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- Article · AI Agents
When Prompt Engineering Stops Helping: Model and Retrieval Changes in Enterprise Tax Management AI
Prompt engineering is a powerful tool, but it is not a panacea. In enterprise tax management, the cost of error is too high to rely on prompts alone. By building a multi-agent system with LangGraph, we can isolate failures: if retrieval is poor, we fix the vector store; if reasoning is weak, we upgrade the model; if compliance is risky, we add guardrails. This architectural approach ensures that our AI copilot is not just smart, but also safe, accurate, and auditable. The next step is to integrate real-time regulatory feeds and rigorous evaluation pipelines to evolve this POC into a production-grade platform.
- Article · AI Agents
Bridging the Gap: Online vs. Offline Evaluation Strategies for AI-Driven Financial Compliance
Balancing online and offline evaluation is not just a technical necessity but a regulatory imperative in Accounting & Financial Management. By leveraging a multi-agent LangGraph architecture with RAG and persistent state, banks can safely deploy AI for Tax Management and Financial Reporting. This hybrid approach ensures that while the system learns from real-time interactions, it remains anchored by the rigor of offline validation and strict bank policy adherence.
