기업 재무 데이터 이상 패턴 식별

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AI 프롬프트 목록

기사/보고서

금융 이상 징후 감지

${:__('collect %s',금융 이상 징후 감지)}$

기사/보고서

월간 재무 보고서에서 역사적 기준선에서 벗어난 거래 기록을 식별하고 플래그 지정합니다.

프롬프트 내용

복사

Please analyze the provided enterprise monthly financial dataset, focusing on reviewing expenditure and income records from the past twelve months to identify any transaction behaviors significantly deviating from historical averages, particularly those involving large non-recurring expenses or sudden income increases, and generate a detailed report containing specific transaction IDs, deviation magnitudes, and potential risk levels for subsequent audit and compliance checks by the finance team.

복사

제공된 기업 월간 재무 데이터 세트를 분석하고 지난 12개월의 지출 및 수입 기록을 중점적으로 검토하여 역사적 평균에서 현저히 벗어난 거래 행동을 식별하십시오. 특히 대규모 비정기 지출이나 급격한 수입 증가를 수반하는 프로젝트에 초점을 맞추어 구체적인 거래 ID, 이탈 폭 및 잠재적 위험 수준을 포함하는 상세한 보고서를 생성하여 재무 팀의 후속 감사 및 규정 준수 확인에 활용하십시오.

복사

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재무 이상 징후 감지

Please analyze the provided corporate monthly financial dataset, focusing on reviewing transaction records from the past twelve months to identify and flag any transactions where the amount, frequency, or payee significantly deviates from historical seasonal baselines, while excluding known seasonal fluctuations, and finally output a detailed list containing transaction IDs, deviation magnitudes, and potential risk levels for subsequent internal audit review.

재무 이상 징후 감지

Analyze the provided monthly enterprise financial data, focusing on identifying transaction records from the past twelve months where expenditures or revenues significantly deviate from historical averages, and explain what these anomalies might indicate regarding operational risks or compliance issues, ultimately producing a concise report containing specific transaction IDs, deviation magnitudes, and potential business impacts.

이커머스 티켓 분류

Act as an e-commerce customer service system component that receives and analyzes user-submitted after-sales consultation texts. Categorize tickets according to a predefined label system (such as logistics delay, product damage, functional failure, refund dispute, etc.), extract key entity information like order numbers, product SKUs, and user sentiment tendencies, and finally output structured classification results with suggested handling priorities to assist human agents in rapid response.

고객 지원 티켓 분류

Act as an intelligent customer service assistant for an e-commerce platform to process user-submitted after-sales inquiry texts. You need to carefully read the order issues described by the user, such as delayed logistics, damaged goods, or refund requests, and accurately classify them into predefined ticket types, such as logistics issues, product quality, or after-sales service. Finally, output the standardized classification results so that human customer service agents can follow up, ensuring that user issues are resolved quickly and professionally.

금융 감사 어시스턴트

Act as a senior financial audit expert. Based on the provided annual financial statements, focus on reviewing accounts receivable turnover, inventory write-down provisions, and large abnormal transactions to identify potential financial fraud risks or compliance loopholes. Output a clear, logically rigorous preliminary audit findings report that includes risk level assessment, specific case citations, and improvement suggestions, ensuring the language is professional and complies with international auditing standards.

계약 리스크 검토 어시스턴트

Act as a senior corporate legal counsel and conduct a deep risk review of the provided commercial contract text. Focus on identifying potential legal traps such as vague payment terms, unequal liability clauses, unclear intellectual property ownership, and missing force majeure provisions. For each risk point, provide specific revision suggestions and legal basis, and finally output a structured risk assessment report to ensure the contract complies with the latest laws and regulations and protects the company's core interests.