An AI system that gets through approval
nuwacom is the AI operating system for institutions where the Vorstand, IT, and Risk all have to sign off: sovereign hosting in Germany, model-agnostic, auditable down to the individual interaction.
:format(webp))
These companies trust in nuwacom for their AI Operating System
The pilot got approved. Regular operation stalls on sign-off.
Somewhere in the institution, someone is already working productively with AI: in marketing, in credit processing, in a business unit project. The jump from a working pilot to institution-wide operation still rarely happens. The blocker is not the model. It is the missing architecture underneath it.
If no viable institutional solution exists, isolated solutions take over. Individual departments procure their own tools, employees fall back on private accounts. This usually only becomes visible during an audit, and then as a finding, not as progress.
The Vorstand, IT, and Risk all have to agree, but none of the three owns the whole. The Vorstand wants the business case, IT wants integration into the existing provider landscape, Risk wants traceability. A technical question turns into organizational deadlock.
Four building blocks. One gets it approved, the others make it work.
:format(webp))
Access rights, model approvals, usage contexts, and policies are defined centrally, not renegotiated tool by tool. Every interaction is logged and reconstructable, including the sources used. That means you answer the traceability question once for the platform instead of five times for five separate tools.
Sovereign, auditable, and explicitly outside the credit decision.
Supervisors treat AI as an extension of the ICT risk framework you already operate under DORA and MaRisk. nuwacom is built to fit exactly into that framework: documented data flows, granular roles and permissions, complete audit logs with timestamps and user attribution, exportable for review and reporting. nuwacom sits at the enterprise layer: research, document work, preparation, documentation. No scoring, no rating, no automated credit decision.
Where it pays off fastest
Requirements from MaRisk, DORA, BaFin circulars, and internal work instructions rarely sit in one place. Instead of manually gathering them, you query the approved knowledge base directly and get answers with a reference to the underlying source. Teams save a lot of time.
Learn moreThe same documents get assembled, read, and reformatted before every submission. A workflow takes over gathering and structuring, delivering a prepared decision basis. Evaluation and the vote stay entirely with the responsible people. The AI shortens preparation, it does not replace a decision.
Learn moreDORA requires a maintained register of information and solid documentation for every ICT provider. Contracts, service descriptions, and evidence can be analyzed in a structured way to extract the relevant details for register maintenance. What ties up weeks of legwork today becomes a repeatable process with fixed review steps.
Learn moreSchedule a meeting with one of our AI experts
In about 30 minutes, we walk through a concrete use case from your institution and the questions Risk and IT will ask afterward.
)
)
