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Your data. Your rules. AI that shows its sources.
Enterprise AI rarely fails to produce an answer. What matters is whether that answer is traceable, documented and supported by reliable evidence. findic develops AI solutions for banking and insurance – from the first use case through to ongoing operation. Our product lines range from evidence-based answers drawn from corporate knowledge to automated compliance support and calibrated forecasts.
What sets us apart: analysis, development, integration and operation all come from a single team, in the language of the financial world, no handover between consulting and implementation. Our three product lines cover the areas where AI is making a difference in banks and insurers today.
Four qualities that distinguish our products from mere claims. You can verify each one.
There are plenty of AI pilots – but only a few AI systems in operation. That is rarely down to the technology: what is missing is evidence for internal audit, reliable answers for the business, and someone to actually operate the system after go-live.
On top of that: knowledge is scattered across documents and systems, while regulatory requirements increasingly demand robust evidence rather than mere statements of intent.
Products, not concepts. We develop nothing that someone else then has to build: we embed our product lines into your existing systems and can also manage their ongoing operation. Analysis, implementation and ongoing operation from a single source.
And because responsibility cannot be delegated: our products prepare, verify and document without gaps. The decision is always made by a human.
Four key Data & AI terms explained briefly: RAG, model calibration, knowledge graphs and audit trails.
No large-scale project based on assumptions: we start with a single use case, measure its impact, and only scale once it proves itself.
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.
We will look at your use case and tell you plainly what is feasible and what is not.
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