20 Apr, 2020· read

Intelligent Risk Automation

Credit risk, market risk and operational risk are all constantly changing. As are the ways in which financial institutions need to alleviate them, either through changes in industry regulation or as a result of their own evolving best practice. Automated risk management enables changes in conditions and new risks to be identified faster, and banks/building societies to be more responsive in reducing their exposure.

Web Intelligent Risk Automation

Overview

Our automation framework has risk scenarios, regulatory guidance and rules mapped into it, so that as incoming data (e.g. corporate data, external data and regulatory policy updates) is fed into the system, changes relevant to risk levels are immediately recognised.

The framework’s machine learning capabilities allow it to build up knowledge over time, so that emerging patterns are identified as they occur.

When changes relevant to risk strategy are recognised, the framework’s virtual agent contacts the bank/building society’s risk manager with a recommendation as to the measures needed to avoid exposure, as well as offering a rationale for the recommendation, in line with industry regulations and the lender’s own policies.

Key Benefits

  1. More insight from data
  2. Capture & apply expertise at scale
  3. Increase profitability 

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