Use AI for business results, not for show
The approach we apply in banking: clear boundaries, measurable cost, verifiable output.
Solution areas
- Internal knowledge assistant (RAG): assistants that answer with sources from procedures, regulations and technical documents.
- Software-development automation: AI agents for analysis, test scenarios, code review and documentation; setup and mentoring for development teams.
How we keep it safe
- Data classification: what may reach a model is defined up front, masked where needed.
- Read-only, restricted permissions; model output never acts directly, it passes validation.
- Cost and quality measurement: every request is logged, token cost and accuracy tracked.
- Model independence: an architecture that can switch between Claude, OpenAI or on-premise models.