Technologies chosen with intent
Technologies matter when they support a design decision. Every component is selected based on the process, risk level, available data and infrastructure constraints.
What we mean by an "AI system"
An AI system is not a chatbot, a plugin, or a well-written prompt. It is the combination of elements that lets artificial intelligence operate inside a real process, with accountability, controls and measurable results.
Models
Chosen based on the task at hand, not on how well-known the vendor is.
Data
Authorized sources, with known quality and provenance, that the system can base its answers on.
Workflow
The exact point in the process where AI steps in, and what happens before and after.
Permissions
Who can use the system, under what conditions, and which data and actions they can access.
Integrations
Real connections to the systems already in use: management software, protocol, databases, APIs.
Guardrails
Explicit limits on what the system can and cannot do, even when facing malicious input.
Audit trail
Traceability of sources, actions and decisions, verifiable at any time.
KPIs
Concrete indicators that show whether the system is working, not just whether it answers well.
If even one of these elements is missing, it isn’t a system: it’s an experiment that, sooner or later, someone will have to stop using. This is also why we don’t talk much about ChatGPT: the choice of model isn’t what makes the difference — designing everything around it is.
Technologies chosen with intent
Technologies matter when they support a design decision. Every component is selected based on the process, risk level, available data and infrastructure constraints.
How they connect, in a typical system
Cloud, on-premise or hybrid are not preferences: they are architectural choices guided by security, compliance, data residency and operational continuity.
accuracy in automatic extraction of dimensional data from CAD drawings, measured on a verified Document Intelligence project (see Projects for details)
How this number is measured, and why we do not claim a higher one
We work with both open-source models and PaaS services delivered through major cloud providers — AWS, Azure, GCP — chosen case by case based on cost, performance, data residency and the client's security constraints. We are not tied to a single model provider.