Click here for details and registration ■ Credit Assessment for Small and Medium-Sized Enterprises (SMEs) and Micro-Enterprises Becomes More Difficult In inter-company transactions, it is necessary to determine whether to proceed with a transaction after confirming the creditworthiness of new business partners and any concerns regarding anti-social forces or compliance. However, SMEs and micro-enterprises often have limited publicly available financial information, news, and credit data, making it difficult to gather sufficient information for assessment. As the network of business partners expands, the number of entities to be checked also increases, posing a significant challenge for companies to conduct fair and reproducible credit assessments with limited information. ■ Lack of Information Leads to Subjective and Unfair Screening Even when obtaining credit information from existing credit investigation agencies, there are limitations in the scope of companies covered and the available assessment materials, making it difficult to obtain sufficient grounds for credit assessment of SMEs and micro-enterprises. As a result, the process often relies on individual employees to supplement judgments with their experience by checking web searches, corporate registration information, news, and past transaction histories. Such subjective investigations lead to variations in screening results, making it difficult to maintain fairness in judgment and accountability for compliance. ■ Advanced Credit Assessment and Integrated Compliance Checks with AI Agents This seminar will explain how credit assessments for companies that have historically been difficult to gather information on will change, utilizing AI agents and a credit database of 5.4 million companies. The AI credit risk management service "Riskdog" automatically collects and organizes risk information and negative information for each company, presenting materials for credit assessment. Furthermore, in addition to cre