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Multiply FS operations value by capturing SME knowledge

Deliver more speed, volume, and customer satisfaction with enhanced, automated financial services workflows

Too often, financial services operations processes are managed in a piecemeal fashion. Legacy technology can be burdened with limitations, resulting in manual processes, lengthy timeframes, anxious customers, and overworked subject matter experts (SMEs) who serve as the backbone of the FS operations function.

Some automation campaigns focus on simply providing your teams with ‘more automation’ instead of re-imagining the role of the operations SME in total. Even when newer platforms, workflows, and Artificial Intelligence (AI)-based solutions are applied, the results can fall short for areas that rely heavily on SMEs with complex institutional and domain knowledge.

But the value goes up when you first examine and capture SME knowledge. After fully documenting what their SMEs know, financial services organizations can re-imagine their operating models rather than automating to serve existing process constructs.

This three-layered approach can help you address this challenge:


Layer 1

The Digital SME maps existing processes and offline SME knowledge into a business-event-driven data model.


Layer 2

Automated workflows orchestrate and provide complete transparency into every step of your processes, helping your team leaders manage work and gain insights to further improve workflows and accelerate delivery cycles.


Layer 3

Artificial Intelligence can then further enhance your automation by using tools like Natural Language Processing (NLP) and Machine Learning (ML) to convert unstructured data into a structured knowledge base.

Dive into our thinking:

Three layers of automation can multiply speed, volume and satisfaction

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