The server rebuilds identity, tenant, project, permissions and RLS scope and adds only registered page or selected-object hints. Arbitrary screen scraping and result-grid capture are outside the contract.
Responsible AI
The model is not the security boundary.
Advanexus Intelligence separates natural-language reasoning from deterministic authorization and execution. A useful response never grants itself access or converts generated text into an unreviewed platform action.
Registered tools have typed arguments, policy, timeout and evidence behavior. The platform validates the call again before a canonical service reads or changes state.
Preview and state-changing operations use explicit confirmation. Supported high-risk actions can require separate authorized approval and a final requester confirmation; self-approval fails closed.
Structured responses, redaction, safe Markdown and usage evidence limit what reaches the interface. Users should not paste credentials, payment data or unnecessary personal records into a conversation.
There is no general web search, browser automation, documentation RAG, autonomous workflow graph, arbitrary ANPy execution or unrestricted Pipeline, Data Quality, Drive and Sandbox action layer.
Context is assembled from allowed sources.
The server rebuilds identity, tenant, project, permissions and RLS scope and adds only registered page or selected-object hints. Arbitrary screen scraping and result-grid capture are outside the contract.
Tool calls are proposals.
Registered tools have typed arguments, policy, timeout and evidence behavior. The platform validates the call again before a canonical service reads or changes state.
People remain in high-risk decisions.
Preview and state-changing operations use explicit confirmation. Supported high-risk actions can require separate authorized approval and a final requester confirmation; self-approval fails closed.
Provider output is bounded and filtered.
Structured responses, redaction, safe Markdown and usage evidence limit what reaches the interface. Users should not paste credentials, payment data or unnecessary personal records into a conversation.
Current non-capabilities remain public.
There is no general web search, browser automation, documentation RAG, autonomous workflow graph, arbitrary ANPy execution or unrestricted Pipeline, Data Quality, Drive and Sandbox action layer.
Next step
Start with the flow that cannot afford ambiguity.
Bring the systems, owners, rules, delivery obligations and evidence requirements that matter.
Discuss a critical flow