Trusty AI-Engine
Prepares SME financing on the same architecture, across multiple channels.FSG Financial Services Group's core technology connects company data, AI-driven needs analysis and decision preparation into a single chain. The same outcome in the brokerage service and in the bank's or financial institution's own channel.
Why we built Trusty AI-Engine.
Preparation of SME financing in the traditional model happens by hand: forms, attachments, data collection from various systems. The process takes days or weeks and is based more on the form of the application than on the company's actual situation.
Trusty AI-Engine is built from the premise that preparation is automatic, structured and traceable.
Three layers, one goal: a ready proposal for the financier or bank.
- 01Data layerTrusty AI-Engine assembles the company's data in parallel from multiple trusted sources — government registries, financial statements, credit information services and other sources via APIs. Supplementary documents are requested from the customer only when they cannot be retrieved automatically.
- 02Analysis layerTrusty AI-Engine has a natural-language conversation with the customer, identifies the real financing need and assesses the company's situation. The conversation adapts to size, industry and need.
- 03Decision preparation layerTrusty AI-Engine produces a structured preparation document: recommendation, key figures, assessment, justifications. In the brokerage service → competition among financiers. In White Label → a ready preparation package for the bank or financial institution.
Same core. Same structured outcome. Different channels, different brands.
How Trusty AI-Engine changes the preparation.
A conversation in your own words — "I need financing for a production line", "the cash needs strengthening before the season". Trusty AI-Engine asks the essential clarifications and gathers the company's data automatically. Documents are requested only when they cannot be retrieved elsewhere.
Trusty AI-Engine covers the preparation of an SME customer's financing need from the moment the customer expresses the need until the delivery of the ready preparation package.
- Needs analysis — natural-language conversation, structured outcome.
- Recommendation — combination of the bank's or financial institution's own product range and the customer's situation.
- Decision-ready documentation — preparation package directly into the bank's or financial institution's process.
- Automation — manual work removed, expert's time to the customer relationship.
Alongside the financing conversation, Trusty AI-Engine can map the customer's interest in a broader banking relationship — for example accounts, payment solutions or savings products. Identified needs and recommendations with justifications are delivered as part of the decision-ready document. The bank or financial institution evaluates and decides on next steps in its own process.
Built for regulated entities.
- EU AI Act — transparency, traceability, risk management, human oversight.
- DORA — operational resilience and supplier management.
- EBA LOAM and CRR III — supports the bank's and financial institution's credit process and the SME Supporting Factor.
Traceability, auditability and human oversight are part of Trusty AI-Engine's architecture — not additional layers.
What Trusty AI-Engine is not.
One Trusty AI-Engine, multiple services.
The architecture is a multi-tenant platform: same core, multiple parallel services, each with its own brand and target audience. Currently two services are in production, broader industry solutions are in the works.