BNP Paribas is the industry’s first Polish bank to adopt BaseModel.ai

BNP Paribas is the industry’s first Polish bank to adopt BaseModel.ai, a pioneering artificial intelligence solution in the banking sector.

BaseModel + BNP Paribas

Bank BNP Paribas is the first bank in Poland to have implemented BaseModel.ai, a proprietary artificial intelligence technology from Synerise, one of the world’s most advanced and award-winning AI and big data powerhouses. BaseModel.ai automates the transformation of raw data into universal behavioural profiles of customers, enabling the bank to gain deeper insights into customer needs and deliver personalised, targeted offers only when they are needed most. The partnership with Synerise represents a core tenet of our AI industrialisation strategy, facilitating the deployment of artificial intelligence in the development of next-generation banking services.

Bank BNP Paribas is committed to ongoing development of its digital offering with a focus on improving the customer experience through the use of innovative technologies. The bank was the first in Poland to implement BaseModel.ai, an innovative foundation model developed by Synerise, a European and global leader in the field of behavioural AI. The quality of Synerise’s Base Model technology is evidenced by numerous industry awards and benchmarks. This tool facilitates enhanced analytical precision when processing large behavioural datasets, enabling targeted personalisation of offerings. The groundbreaking impact of Base Model is evident in its ability to transform numerous financial institutions that, despite possessing vast data sets, have been unable to leverage them to enhance customer
experiences. BaseModel.ai excels in its remarkable speed and precision, enabling more efficient management of banking operations and more tailored services to customer requirements. In practice, this allows BNP Paribas to make offers at the exact time they are required, for instance, by not offering loans to customers seeking savings opportunities.

„The Bank is a ‚bank of good decisions’ - both the ones we make and the ones
we help our clients make. To make the right decisions, accurate data is critical.
Working with Synerise, we have developed advanced behavioural profiles (UBR)
that reflect our customers’ behavioural history, activities and preferences. This has
enabled us to analyse and personalise the offer even more accurately. Customers
benefit from more relevant messages and offers tailored to their individual
needs, and we can respond more quickly to their changing expectations. This
increases customer satisfaction and loyalty. Combining advanced data analytics
with the latest AI technologies also optimises the cost of marketing campaigns
and analysis processes, delivering measurable business benefits.” – says Anna
Stepanów, responsible for Artificial Intelligence and Analytics Solutions at
Bank BNP Paribas.

Bank BNP Paribas has recently concluded the proof-of-concept phase of the Base Model deployment. The project successfully validated the effectiveness and quality of the models used for data analysis and customer behaviour forecasting. During this phase, we conducted training for a foundation model and eight business models based on it. The completed work phase demonstrated that the implementation of advanced AI models can be achieved in an extremely short timeframe, reducing the time to deliver results from months to days. This has a significant impact on the effectiveness of AI use in banking. At present, BaseModel.ai models are delivering successful results for the retail client segment, among others.

We are taking personalisation to the next level.

BNP Paribas’s business models, built on BaseModel.ai technology, enable effective customer identification and profiling for targeted investment, savings, cash loan and ESG solutions. Behavioural profiles created based on banking history facilitate the more effective recognition and understanding of customer needs. The data collected enables the delivery of the ideal offer at the right time and through the right channels. This allows the bank to provide bespoke products, which not only increases customer retention and loyalty, but also saves customers time by offering them the products they require.

„The volume and complexity of behavioural data continues to grow, with
organisations capturing large numbers of customer-generated events such as
transactions or online activity on a daily basis. BaseModel.ai provides a solution
that enables users to make effective use of this data, eliminating the need for
manual data transformation processes and maintenance of specialised tools. By
creating universal behavioural profiles while retaining their full detail, BaseModel.
ai learns to ‚understand’ customers as a private foundation model, providing
a comprehensive and detailed representation of their behaviour. To date, the
tool has been successfully deployed across a range of industries, including
e-commerce, retail, HORECA and media. Thanks to the collaboration with BNP
Paribas, the model has now found its way into the banking sector. The bank is
able to process billions of events in record time thanks to advanced algorithms,
enabling it to train and maintain AI models faster and more effectively without
increasing the workload. As a result, BNP Paribas is able to analyse customer
behaviour more effectively, predict trends more accurately, and implement
innovations more quickly without increasing operational costs. Security is also
an imperative. The system runs 100% on the customer’s infrastructure and the
models are fully interpretable” - says Jarosław Królewski, CEO of Synerise.

The future of AI at Bank BNP Paribas

The bank plans to extend the use of this solution to its SME and corporate customer segments, enabling it to better understand the needs of these groups and provide them with personalised offers. The scalability and flexibility of the BaseModel.ai technology will also enable the bank to quickly create new predictive models, reducing implementation time and increasing operational efficiency.