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Your data. Your head start. Our AI solutions.
We make AI effective in financial services—from the initial use case concept to full-scale implementation. Together, we unlock the potential in your data, automate processes, and create reliable decision-making frameworks—efficiently, transparently, and tailored to the needs of both business units and IT.
Increasing regulatory requirements, complex end-to-end processes, and fragmented data landscapes make it difficult to make quick, secure decisions in the financial services sector. At the same time, cost and efficiency pressures, as well as expectations regarding transparency and compliance, are placing greater demands on organizations, business units, and IT.
By choosing findic, you can rely on solutions that take effect quickly. In many cases, short-term efficiency gains can be achieved with pre-trained models – often without having to set up your own complex specialized AI infrastructure.
If standard solutions are not sufficient, we develop customized AI models that are precisely tailored to your business, regulatory and technical needs.
Our structured approach is based on proven methods such as CRISP-ML(Q) and is characterized by …
Artificial intelligence is no longer a topic for the future – it is a key success factor for banks, insurance companies and other financial services providers. Anyone investing in data-driven processes and automation today will secure decisive competitive advantages.
We can help you to …
The result: lower costs, higher process quality and a noticeable increase in productivity along your entire value chain.
We combine deep industry and process knowledge with modern data science and AI expertise to achieve sustainable improvements. Our services range from the initial analysis to productive use:
We provide you with comprehensive support – from strategy to implementation and operation.
Under the EU AI Act, evidence matters more than statements of intent. Depending on the AI system, key requirements include an inventory of AI systems in use, risk classification, technical documentation, ongoing monitoring and the ability to trace decisions. Our products support this evidence through built-in audit trails, documented model versions and monitoring.
No, not necessarily. Depending on the technical and regulatory requirements, our solutions can run within your own infrastructure or in data centres located in the EU. Data storage and access controls are configured to meet your requirements.
No. Our solutions connect to existing systems and data sources. The required integration is part of our offering and is tailored to your technical environment.
A pilot using real data and measurable success criteria typically takes six to eight weeks. It then provides robust evidence for deciding whether to proceed to production.
Typical use cases include document and knowledge work (summarization, extraction, classification), support functions in customer service, and assistance with internal business processes. Key considerations here include data protection, access policies, prompt/output controls, and seamless integration into existing processes and governance frameworks.
Digitalization doesn’t wait for anyone. Start your AI project with findic and make your company fit for the future.
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