Svperior / Intelligence / Topic
AI & automation
AI & automation intelligence examining the operating conditions, decisions, dependencies, and evidence that matter in consequential private and institutional environments.
Published intelligence
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Article / Private Capability
An Agent Should Have Less Authority Than the Person Who Sponsors It
Automation should narrow delegated power. It should not inherit every credential, exception and relationship available to the human who configured it.
Article / Private Capability
The AI System Needs a Right to Be Forgotten
Removing a source file is not enough. Private AI must forget across retrieval indexes, memory, logs, caches, evaluations and copied outputs.
Article / Private Capability
Operating Guide: Approve a Private AI Use Case
Approve AI by examining information, decision consequence, evidence, provider behaviour, human authority and reversibility.
Article / Private Capability
Decision Memo: Hosted, Local or No Model?
Choose AI deployment by information sensitivity, consequence, operational competence, evidence and exit—not by ideology.
Article / Private Capability
The Model’s Confidence Is an Interface Choice
A confident tone, a percentage and a clean answer can all overstate what the system knows. Design uncertainty into the decision surface.
Article / Private Capability
The Private AI Stack Needs an Evidence Layer
Private AI needs more than models and interfaces. It needs durable evidence linking sources, configurations, outputs, human judgement and final action.
Article / Private Capability
How to Test Whether AI Can Keep a Secret
Contracts are not enough. Test whether a private AI system leaks through prompts, retrieval, logs, administrators, exports and model behaviour.
Dossier / Private Capability
Build the Intelligence Layer, Not Another Dashboard
Dashboards display known metrics. An intelligence layer explains provenance, uncertainty, authority and consequence so a principal can decide.
Field Guide / Private Capability
Where Automation May Act—and Where It Must Stop
A decision model for AI agents and automation: what may prepare, recommend, approve or execute—and where human authority must remain.
Observation / Private Capability
AI Should Not Assemble What No Human May See
An AI system can infer a restricted fact from individually permitted records. Here is how to govern answer-level access, not just document permissions.
Dossier / Private Capability
Personal AI Requires a Private Architecture
A practical architecture for using AI around sensitive personal and institutional information without confusing convenience with confidentiality.
Dossier / Privacy & Reputation
The Confidentiality Boundary Has Moved
Why AI tools, cloud vendors and collaboration systems have moved the real confidentiality boundary—and how private banks should map and control it.