Discover how leading financial organisations are leveraging innovative solutions to drive efficiency, reduce risk, and unlock new growth opportunities. Each use case below showcases practical, proven ways to tackle industry challenges and stay ahead in a competitive landscape. Explore these success stories to see the transformative power of tailored financial strategies in action.
GenAI enables faster and more accurate credit reviews and assessments by aggregating data from multiple sources, including web news, client activity, and client documentation (e.g., financial statements). This helps establish creditworthiness, speeds up decision-making, and integrates seamlessly with existing workflows.
Automate credit agreements and approvals with GenAI by utilizing data from web news, client activities, and documentation. GenAI applies predefined credit rules to streamline approvals, ensuring consistency and accuracy while integrating smoothly into your current systems.
GenAI accelerates trade approvals by leveraging multiple data sources such as client exposure, credit ratings, and documentation (e.g., financial statements, ISDAs). Predefined, adjustable rules ensure faster decision-making, seamlessly integrated into your workflows.
Staying compliant in complex financial environments is challenging. GenAI can track policy updates and automatically apply them to existing rules. Acting as a dynamic rules engine, GenAI ensures quick compliance, regulatory tracking, and efficient decision-making.
Monitoring and updating internal policies are resource-intensive tasks. GenAI continuously tracks internal policy changes and recommends or applies updates to existing rules. Alerts can be easily integrated into workflows to highlight significant changes.
GenAI helps financial institutions keep up with regulatory updates by monitoring official websites (e.g., PRA). It summarizes changes and recommends necessary updates to internal policies, enabling faster and more accurate compliance efforts.
GenAI monitors policy changes and directly applies updates to internal rules and documentation, ensuring real-time compliance. Whether it’s tracking company intranets or external regulatory sites, GenAI automates the entire update process.
GenAI combines unstructured data (e.g., client communications) with predefined rules to act as a robust compliance engine. It enhances monitoring capabilities and integrates seamlessly with alert systems to improve efficiency for compliance teams.
By analysing raw data like client communications and applying documented rules, GenAI enforces compliance efficiently. These systems can be integrated with alerts to flag potential issues before they escalate.
Manual regulatory reporting is time-intensive and error-prone. GenAI addresses data quality issues through reconciliation and extraction of key data (e.g., LEI). It automates report generation, enhancing accuracy and reducing manual effort.
Manual reconciliations and collateral management are prone to errors. GenAI’s ability to reconcile multi-language or context-specific data ensures flexibility and accuracy. It also automates collateral movements and payment processing based on eligibility rules and extracted client data.
GenAI structures raw data and resolves data quality issues to improve transaction reporting. By automating reconciliation techniques, it ensures accurate reporting, including key details like client LEI.
Manual processes for bookings and settlements often stem from unstructured communications (e.g., emails, chats). GenAI automates data structuring and reconciliation, applying compliance rules to significantly enhance accuracy and efficiency.
GenAI automates trade clearing and nettings by structuring unstructured communications, such as client emails and trade instructions. This ensures accurate reconciliation and reduces errors in settlements.
Account openings and client onboarding are streamlined with GenAI. It extracts, structures, and reconciles client data from various sources, automates screenings and reviews, and inputs correct data into company systems, reducing onboarding times.
GenAI processes trade bookings and reconciliations by structuring raw client communications (e.g., emails, chat instructions). It applies compliance rules to automate and enhance accuracy in trade processing, making workflows more efficient.
Trade allocation instructions are often fragmented across channels like email and voice. GenAI organizes and reconciles these instructions with current agreements, reducing operational challenges and errors while improving accuracy.
GenAI simplifies the often-complex process of trader give-ups by automating the structuring and reconciliation of unstructured data like emails and chat logs. It ensures compliance with give-up agreements and improves operational efficiency.
Setting up and managing give-up accounts is time-consuming. GenAI automates the extraction of terms from agreements, organizes account data, and ensures the correct implementation of instructions, minimizing errors and delays.
Processing settlement instructions often involves manual intervention due to inconsistent communication formats. GenAI structures and reconciles instructions from emails and chat communications, automating compliance checks and ensuring smooth settlement operations.
Finaumate’s Generative AI solutions address a wide range of financial operations, including:
By automating manual, time-consuming tasks, Finaumate’s solutions:
Start by analyzing the most time-consuming or error-prone processes in your organization. Finaumate offers tailored consultations to help pinpoint high-impact areas where GenAI can deliver the most value. Whether it’s risk management, compliance, or back-office operations, we’ll work with you to prioritize and implement solutions that align with your goals.
If you are looking for operational efficiency in an increasingly competitive financial landscape, GenAI is your next best solution.
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