Document Agents play a pivotal role in reducing the manual workload associated with drafting key documents such as Resolution Plans, Progress Reports, and Compliance Filings. By ensuring adherence to statutory language and minimizing human errors, these tools save time and streamline legal documentation. Generative AI can also assist in drafting responses to objections raised by stakeholders, ensuring precision and consistency in legal communication. Beyond drafting, Document Agents can automate the review of large volumes of legal documents, extracting critical information and summarizing it for quick reference, thereby expediting decision-making.

Workflow Agents can enhance coordination among teams involved in the insolvency process. These agents can assign tasks to relevant team members, send reminders about upcoming deadlines, and provide real-time updates on case progress. By automating repetitive workflow tasks, these agents help professionals stay organized and focused, ensuring that every aspect of the resolution process is handled in a timely and efficient manner.

Planning Agents can be tasked with developing and evaluating resolution plans. AI-driven tools in this category analyse creditor claims, available resources, and legal constraints to design optimal repayment schedules and restructuring plans. These agents enable resolution professionals to balance the interests of various stakeholders while adhering to legal and financial constraints.

Marketing Agents can ease claimant outreach, investor search, and overall stakeholder communication. These agents utilize personalized, AI-driven communication strategies to provide timely updates to creditors, investors, and regulators. By automating and streamlining communication efforts, they reduce manual effort while maintaining clarity and professionalism.

Fraud Detection Agents can focus on identifying potential fraud, such as Preferential, Undervalued, Fraudulent, and Extortionate (PUFE) transactions, concealed assets, or other irregularities in financial records. AI tools in this category are capable of scanning extensive financial data to detect anomalies and hidden patterns that may indicate fraudulent activities.

Prediction Agents can be leveraged to provide decision support and can forecast recovery outcomes. Using advanced AI models, these agents analyse historical insolvency data, financial records, and case-specific variables to predict creditor recovery rates and timelines. This provides stakeholders with realistic expectations and enables resolution professionals to plan effectively.

Process Agents can be designed to monitor compliance and facilitate collaborative workflows. These agents play a crucial role in ensuring that regulatory deadlines are met by tracking timelines, ensuring filings are completed on schedule, and promptly alerting stakeholders to changes in laws or guidelines. By minimizing the risks of non-compliance, Process Agents ensure that all legal and procedural requirements are adhered to efficiently.