AI Use case: Empowering 900 Client Advisors in Asset Management with Generative Employee Agents

The exponential pace of new technologies, and the confluence of generative Al trends, are influencing not only how asset management institutions operate to serve their client needs but also how they empower their own client advisors, relationship managers and new employees.

AI Use Case: Empowering 900 Client Advisors with Generative Employee Agents

Current Challenges of Client Advisors in Asset Management

In the dynamic and competitive world of asset management, client advisors play a crucial role in navigating the complexities of financial markets and delivering personalized investment and financial strategies to their clients.

However, the sheer volume of data and information that client advisors must process at the start (and throughout) their journey with a new asset management institution can often be overwhelming, hindering their ability to make informed decisions and provide exceptional service.
Advisors face challenges in efficiently accessing and leveraging the various data sources, analytics tools, and client management systems used by the organization. Mastering the data landscape and the technologies can be a steep learning curve for new and experienced client advisors.
These challenges are intensified by changing regulation and a necessity for regulatory compliance. Staying up-to date can be a significant hurdle for new client advisors. Ensuring adherence to these requirements is crucial but can be time-consuming.

Empowering Client Advisors with internal knowledge

Client advisors need streamlined work processes and knowledge empowerment – the right content, right source, real-time input. By enabling seamless access and interaction with enterprise data sources of an institution’s choice, in a secure environment, a generative employee agent provides a tool of empowerment. The generative agent can automate standard functions of client advisors, expedite daily tasks and reduce the need for calls to the home office. It can empower the client advisor with a streamlined working process all while providing proven insights linked to the source of truth in your enterprise data.

Empowering Client Advisors in Asset Management with Generative Employee Agents

In this particular use case, the asset management institution onboards 100 – 150 client advisors a month.
With the large onboarding pools and requirement for their advisors to become familiar with the institutional policies, knowledge bank, and organisational resources as quickly as possible, an immediate opportunity for employee empowerment using generative AI was identified. This was recognized for new but also for existing client advisors.

Through an injection of the company’s data sources: 15 SharePoint instances, HR data, market data, regulatory and compliance frameworks, procedural guidelines, FAQs, policy manuals, operational manuals, training manuals and FactSet data; SquirroGPT made the resources conversable – automating an extremely high proportion of standard functions.

Prompting and suggested prompts were also provided in the UI which included common client advisor tasks e.g. what is the standard procedure when opening a new account? Or how can I change a beneficiary on a fund?

Transforming Client Advisor Efficiency: The Result

In this particular use case - SquirroGPT was praised for its efficient integration with Sharepoint, its adherence to access controls on all documents, as well as its ability to tune models and personalize the tool.

Many larger providers like Microsoft do not offer this. Squirro also offered speed of deployment on a customizable solution that can be flexibly deployed & integrated into: client facing portals and advisor work stations.

Overall, the implementation of generative employee agents can drive both top-line growth and bottom-line improvements for asset management organizations.

Competitive Advantage: The ability to leverage data-driven insights and automate routine tasks can give client advisors a competitive edge, allowing them to be more responsive and effective in serving clients. Adopting cutting-edge generative AI technology can position the organization as an innovator in the asset management industry, attracting new clients and business opportunities.
Improved Productivity and Efficiency: Automating mundane tasks and providing real-time guidance can significantly boost the productivity of client advisors, especially for newer and less experienced employees. Streamlining access to enterprise data and reducing the time spent on administrative work can lead to cost savings and higher profitability.
Reduced Compliance Risks: Generative agents can help client advisors stay up-to-date with regulatory requirements and ensure adherence, mitigating the risk of non-compliance penalties and reputational damage.
Talent Retention and Development: By empowering client advisors with the tools and support they need, organizations can improve employee satisfaction, reduce turnover, and foster the development of their talent pool. Attracting and retaining top-performing client advisors can.contribute to the long-term success and growth of the asset management firm.