Front to back digitisation

The challenge

Recent advances in Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) have opened up significant possibilities for business automation across financial services. This enables an introduction of large scale digital workforce.

Cloud infrastructure, containerisation and microservice architectures are enabling financial institutions to rapidly deliver new services and operating models.

Successful adoption of these technologies and integration with legacy systems requires significant technical and business expertise.

The right solutions and capability will enable organisations to:

  • improve operational efficiency;
  • reduce IT costs;
  • improve corporate agility; and
  • reduce time-to-market for new products and services; and
  • improve customer experience.

Our services

We have developed the Intelligent Digitisation framework specifically to address this challenge. It is a multidisciplinary approach, developed by a team of business process consultants, data scientists, RPA developers, and enterprise architects.

Operating model review

  • Define current state 'baseline' across process, data, people and technology
  • Reimagine the business based on new and emerging technologies

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Future state simulation

  • Simulate potential operating models using our 'digital twin' framework to understand and validate business impact
  • Identify high value targets to prioritise which match strategic objectives

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Roadmap development

  • Sequence solutions to optimise near term impact and ROI whilst maintaining future flexibility and allowing for transition technologies such as RPA

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Intelligent digitisation implementation

  • Build and implement incrementally based on the agreed roadmap, training tech & non-tech staff in the process to embed the change

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Contact us

Sultan Mahmood

FS Partner, Intelligent automation leader, Consulting, PwC United Kingdom

Tel: +44 (0)7718 339141

Dev Govender

Director, Intelligent Automation Leader, PwC United Kingdom

Tel: +44 (0) 7483 348 733

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