Banks

5 fundamental pressures identified by McKinsey:

Customer expectations for digitally managed services
Regulatory requirements of a high-performing risk function, timely and accurate data
Lending continues to be a key source of bank revenue across the retail, small and medium-size enterprises (SME), and corporate segments. And it is a less automated segment of banking activity.

For further expansion despite the new pressures, banks need to digitize their credit processes and to bring bigger transparency to risk profiles.
Current share of risk and compliance costs in total banking costs is 15%.

External and internal pressures push banks to reevaluate the cost efficiency and sustainability of their risk-management models and processes.
Growing importance of strong data management and advanced analytics in staying competitive
New digital attackers disrupting traditional business models
Increasing pressure on costs and returns, especially from
financial-technology (fintech) companies

5 fundamental pressures identified by McKinsey:

Customer expectations for digitally managed services
Regulatory requirements of a high-performing risk function, timely and accurate data
Lending continues to be a key source of bank revenue across the retail, small and medium-size enterprises (SME), and corporate segments. And it is a less automated segment of banking activity.

For further expansion despite the new pressures, banks need to digitize their credit processes and to bring bigger transparency to risk profiles.
Current share of risk and compliance costs in total banking costs is 15%.

External and internal pressures push banks to reevaluate the cost efficiency and sustainability of their risk-management models and processes.
Growing importance of strong data management and advanced analytics in staying competitive
New digital attackers disrupting traditional business models
Increasing pressure on costs and returns, especially from financial-technology (fintech) companies
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With a firmer grip on risk, banks may expand their business, through:

more targeted risk-based pricing
faster client service without sacrifice in risk levels
more effective management of existing portfolios
We offer a reliable risk monitoring and management system named ARCHI based on Semantic technology, Artificial Intellect and Machine Learning.
Our tool is designed for management of full range of risks related to lending to SMEs and large corporate clients.

Our difference:

We will be pleased to study any of your requests and to offer a relevant solution of any complexity.
Integration of all your systems and databases (CRM, ERP, Accounting tool, etc.)
Collection of data from external and internal sources (unstructured economic info and social medias)
Real time data
Performant risk assessment and risk monitoring models based on practices of Large European banks
Automated reportings and generation of alerts
Artificial Intelligence and Machine Learning for optimized user experience