Insights

At RCloud, we work hard to capture the wealth of experience that we have in our team in order to offer our clients insights on the important issues that global firms and their leaders face in today’s challenging environment.

Our White Papers and Industry Studies offer unique insight into current market issues and how we expect the industry to evolve. Our consultants are in an unparalleled position to offer their thoughts and opinions on issues surrounding the industry.

  • Can bots help to cut cost and increase compliance?

    In the last decade, there has been an explosion of regulatory reporting obligations globally. Banks and financial firms are spending millions of dollars to transform the business and technology processes to meet regulatory requirements, and address reporting failures. So, as technology build solutions to strategically address the major compliance issues, is a parallel approach required to reduce manual intervention and increase compliance? Could Robotic Process Automation help ?

  • Reconciliations and RPA: A perfect match?

    From their heavily manual origins in financial accounts and balance checks to the critical business-to-business, trade and position data and system-to-system controls, reconciliations have proliferated in the financial industry. But there are number of inefficiencies in managing these recs as significant time is spent in clearing false breaks or producing meaningful MI to highlight the actual business risks. In this paper we discuss how bots can be used to augment the rec, reduce the manual intervention required and ensure the actual business risk is the only thing the rec exposes.

  • Using Bots for Suitability reviews

    Regulatory requirements for Suitability have become increasingly stringent, and it is seen as an important control for safeguarding the interests of investors. Wealth managers are now allocating many more resources in conducting these reviews periodically. In this paper we look at how bots can support the wealth mangers by reducing the time spent on collating and organising data and automating rule-based checks.