A TERA deployment profile defines how much authority AI receives, what evidence must support that authority, when the system must stop or escalate, and who remains accountable.
A capable model can still belong in Profile A when the consequence of failure requires direct human control. Promotion is based on the real workflow, not a generic benchmark score.
AI retrieves, analyzes, classifies, or recommends. A person or responsible institution makes the consequential decision.
AI may prepare or execute limited workflow steps while policy gates preserve review, escalation, abstention, and release boundaries.
AI initiates consequential action without routine human approval. TeraSystemsAI treats this profile as exceptional rather than the default destination.
The same four TERA principles govern profile assignment and any later promotion to greater automation.
Evidence, uncertainty, limitations, and unsupported claims must be handled appropriately for the task.
The automation level, model, compute path, and review burden must be justified by operational value.
Failure behavior, fallback, rollback, monitoring, and recovery must be defined before deployment.
Approval, override, release, stop rights, and material records must remain explicit.
These defaults communicate the intended authority boundary. A specific deployment may require a stricter profile after evaluation.
Generative assistance inside bounded workflows with evidence, policy, review, and escalation controls.
View Generative AIDecision support with human authority retained at the consequential clinical or health decision point.
View Healthcare AIDocument evidence and workflow automation remain bounded by explicit signing, review, and release authority.
View Document AssuranceEvidence-bounded interpretation supports human understanding without autonomous regulatory or public-health authority.
View Environmental IntelligenceDiscuss a scoped deployment review, technical assessment, or governed AI pilot under TERA.