AI Know-how

We unite state-of-the art AI expertise combined with a deep knowledge and hands-on experience in the areas of financial products, markets and trading processes.

Banking DNA

We combine many years of hands-on experience with deep banking expertise. For more than 20 years, we have been proving this to our clients every day.

Complementary Expertise

Our team consists of experts from various domains with skills that complement each other in an optimal way. Business analysts, quants, AI specialists, developers, project managers and business experts are all part of our team. This enables us to deliver every part of your project.

Market-proven Software

Our in-house developed software products are major drivers of success for our clients, helping them to create additional value every single day.

Tailor-made Solutions

We develop customized solutions to solve your problems. We rely on existing LPA software or use external technologies – whatever fits your needs. This ensures that we find the optimal solution for your use case.

AI & Advanced Analytics can be used to overcome human weaknesses. For many cases, a hybrid approach reveals its full power combining the advantages of both worlds: humans have the inside track for flexibility/creativity, personal relationships and oversight, which can be complemented by AI's strengths in automation, optimisation and big data/pattern recognition. For us, AI can be defined as usage of Advanced Analytics and new technologies such as Neural Networks, Deep Learning, Random Forests and Machine Learning to perform recurring and low-value tasks that are usually performed by humans in order to fully release the potential of your workforce.

Tier 1 banks already benefit from AI-based solutions in various areas: Improved client service by using virtual assistants (e.g. chat bots), aggregation and analytics of news for sentiment, topics and trading signals, or anomaly detection to identify and reduce fincrime are only a few of the most popular examples. In addition, many banks already use machine learning in credit scoring and product recommendations.

For a successful AI project, not the AI expertise, but the business expertise and the associated domain knowledge are the most crucial success factors. There are various challenges in implementation: From a technical perspective, major challenges are fragmented legacy IT landscape in the banking sector and the associated lack of data quality and accessibility. Another success factor that is often underrated is the acceptance of AI, which can be increased by confidence building and traceability of results using explainable AI. At the same time, a sound change management is essential to accompany those changes in processes and culture towards more data-driven decisions.

We enable our clients to unleash the full potential of AI to increase revenues and cut down cost. LPA brings visions to life and creates tangible business cases. We deliver. We support you with hands-on consulting and development services as well as AI-driven, market-proven tools and software products.