Using RPA to Drive Efficiency & Improve Accuracy

Developing automated processes in funds visibility and client performance reporting in an Asset Management firm who wanted to become self-sufficient in RPA.



A leading Asset Management firm wanted to begin their automation journey in order to drive increased reporting accuracy and improved funds visibility. Manual processes were prone to errors which could result in significant reputational damage and introducing new share classes was taking far too long.

But the client also needed to be sure that the chosen RPA tool (Blue Prism) would interact effectively with internal applications and other complex legacy systems.

Finally, the Asset Management firm wanted to better understand the benefits of automation versus the risks of implementation.
Imagining IT Differently

Imagining IT Differently

The ISG solution was a phased approach, recognizing the understandably cautious nature of the organization, and the complexity of their environment. Phase 1 was to help the client identify two candidate processes to test the accuracy and efficacy of RPA. To test accuracy, preparation and distribution of fund performance reports was selected, and to test efficacy, the funds visibility process was chosen.

ISG’s team of expert advisors designed the two automations based on the specific objectives for each, being careful to ensure all stakeholders were aligned and committed to the agreed outcomes.

ISG then provided RPA training, support and coaching for the client to drive towards automation self sufficiency.


Future Made Possible

  • Thanks to ISG’s proven approach, stakeholders (Line of Business, IT, Operations and Program Management Office) were all aligned and committed to the same goals
  • Versus the existing manual-heavy processes:
    • The funds visibility process case completion time was reduced by 20%, and associated risk reduced to zero
    • The faster visibility of new share classes (or changes to existing ones) also drove up revenue opportunities
    • The preparation and distribution of client performance process time was reduced by 93%, and associated risk reduced to zero
  • The client has become mostly self-sufficient in RPA