Data boundary
Before development we define which sources AI may access, where data is processed and what may never be sent to a model.
Intelligence
with boundaries.
Security is not a final review. Data, permissions, observability and human control are designed together with the AI scenario.
/ CONTROL MODELSix layers
Six layers
of governance.
The exact technologies and deployment model are selected after analyzing your infrastructure and requirements.
Least privilege
Every agent receives only the data and actions required for its specific scenario.
Human in the loop
Financial, legal and other critical decisions require approval from an accountable employee.
Audit trail
Important requests, sources, decisions, tool calls and approvals are recorded for review and audit.
Quality evaluation
Before launch we agree test sets, confidence thresholds, failure modes and escalation rules.
Model independence
The architecture lets us choose providers for quality, cost, speed and deployment requirements.
/ REFERENCE ARCHITECTUREFrom data
From data
to action.
AI never receives uncontrolled system access. Every transition passes through context, policy, tooling and an observable outcome.
Permitted sources, filtering and access rights.
Context, model, policies and confidence scoring.
Limits, checks and human approval.
Action execution and recorded result.
/ HONEST BOUNDARYNo empty
No empty
certification claims.
We do not claim a standard or certification until the relevant process has actually been completed. Every project documents requirements, providers, deployment, responsibilities and available evidence separately.
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