Generative AI: Transforming Asset and Wealth Management
In the swiftly evolving financial services landscape, generative AI (GenAI) is poised to revolutionise asset and wealth management. A recent survey indicates that 61% of Financial Services Institutions plan to integrate GenAI into their operations within the next year. This trend heralds a new era of efficiency, financial forecasting, and resilience.
Embracing the AI Future: Efficiency and Resilience
Generative AI is more than a technological upgrade; it’s a transformative tool that enhances every aspect of an organisation. Companies like Exporis, based in Switzerland, are leading this charge by helping FSIs harness AI’s potential to streamline processes, improve decision-making, and boost overall operational efficiency.
Process Mining and Automation: GenAI optimises process mining by analysing and visualising operational workflows, identifying bottlenecks, inefficiencies, and opportunities for automation. This leads to more streamlined operations, reduced costs, and improved service delivery. For instance, a mid-sized online bank implemented GenAI for process mining and saw a 30% reduction in operational costs within six months.
Financial Forecasting: Traditional forecasting methods often fall short in scope and accuracy. GenAI, however, can analyse vast amounts of data from diverse sources, identify complex patterns, and provide more precise, dynamic forecasts. This capability enables FSIs to make informed decisions, anticipate market trends, and better manage risks. An investment firm that adopted GenAI for forecasting reported a 20% improvement in prediction accuracy, significantly enhancing their investment strategies.
Strategic AI Deployment: Focus on Critical Areas
To maximise GenAI’s benefits, FSIs should strategically focus their AI efforts. One effective approach is to identify areas where the organisation lags behind industry averages and target these for AI implementation. This strategy ensures high returns on AI investments and drives significant improvements.
Customer Service: If a financial institution struggles with customer service efficiency, deploying a GenAI-powered chatbot can transform customer interactions. These chatbots can handle a wide range of queries, provide personalised responses, and operate around the clock, significantly enhancing customer satisfaction and reducing operational costs. A large retail bank implemented a GenAI chatbot and reduced customer service wait times by 50%.
Compliance and Regulatory Reporting: Compliance and regulatory reporting can be burdensome. GenAI automates these processes by continuously monitoring transactions, generating real-time reports, and ensuring adherence to regulations. This reduces the workload on compliance teams and minimises the risk of regulatory breaches. For example, a global financial institution saw a 40% reduction in compliance-related incidents after implementing GenAI for regulatory reporting.
A Comprehensive AI Strategy
To fully leverage GenAI’s potential, FSIs need a comprehensive AI strategy. This involves not just implementing AI tools but also fostering a culture of innovation and continuous improvement. It requires investment in upskilling employees, ensuring robust data governance, and maintaining a secure technology infrastructure.
Exporis, based in Switzerland, exemplifies this comprehensive approach. Their services span from initial process mining to full-scale AI deployment, ensuring every part of the business benefits from AI-driven enhancements. By partnering with experts like Exporis, FSIs can navigate the complexities of AI adoption and achieve sustainable growth.
Operational Efficiency and Scalability
Generative AI significantly streamlines operations. It enhances data sharing across organisations, reducing reliance on offshore resources. In portfolio analysis, GenAI evaluates a client’s risk tolerance, financial goals, and personal circumstances to recommend tailored investments. It excels in gathering and analysing corporate data, summarising quarterly reports, executing trades, maintaining records, and drafting tax and regulatory reports. Additionally, GenAI assists in customer segmentation, enhancing digital marketing efforts, and responding to client questions.
A Unified Approach Over Isolated Use Cases
Instead of focusing on isolated use cases, consider GenAI’s holistic capabilities. Its applications span research, analytics, risk management, operations, investment strategy, compliance, client service, and marketing. Unlike traditional tech tools that excel in specific areas, a single GenAI model can enhance all these functions comprehensively and efficiently. This unified approach eliminates the need to build bespoke models; instead, firms can licence pre-trained, customizable models, ensuring cost-effective, smooth, and secure implementation.
Strategic Implementation and Workforce Transformation
To harness GenAI’s full potential, organisations must rethink their approach to data, text, and code. Identify every instance where data analysis occurs and assess how GenAI can optimise these processes. This requires a strategic shift in how work is done, leveraging AI assistants to handle routine tasks, freeing up valuable time for high-impact activities.
At Exporis, our commitment to GenAI exemplifies this strategic shift. Our AI factory identifies high-value applications of GenAI, which are then scaled across various tasks. This approach ensures that every part of the business can benefit from AI-driven enhancements.
Adopting GenAI: A Comprehensive Playbook
To successfully integrate GenAI at scale, follow a comprehensive playbook. Start with rigorous usage policies, adopt a private version of a public GenAI model, and ensure a secure technology environment to protect proprietary data and intellectual property. If your IT environment isn’t secure, consider using an external secure environment for initial pilots. Incorporate responsible AI practices to build trust, ensure data governance, and maintain security.
The playbook should cover strategy formulation, the establishment of an AI factory to achieve scale, workforce transformation, and continuous oversight to validate GenAI’s outputs, manage risks, and enhance performance. While specific use cases will emerge, they will collectively redefine your operational framework, becoming integral to your new way of working.
Conclusion
By adopting a broad perspective and strategic approach, GenAI can revolutionise asset and wealth management, driving unprecedented efficiency, scalability, and competitive advantage. With the support of experts like Exporis from Switzerland, FSIs can successfully navigate the AI transformation journey, ensuring sustainable growth and industry leadership.
