Glossary
AI & autonomy
Closed-loop execution
Software that owns a task from trigger to completion — detecting the event, deciding the response within preset rules, performing the action, and recording the outcome — rather than handling one step and handing the task back to a human.
Closed-loop execution means software owns a task from trigger to completion — detecting the event, deciding the response within preset rules, performing the action, and recording the outcome — rather than handling one step and returning the task to a human. An open-loop system drafts or suggests; a closed-loop system finishes.
In plain terms, picture a leak reported at 11pm. Open loop: you find a summary in the morning. Closed loop: the plumber was dispatched at 11:04, the tenant got an ETA at 11:05, and you find the record in the morning.
Why it matters: the label 'AI-powered' hides the loop question. The real test is where the loop closes — at a draft, at a suggestion, or at a completed, logged outcome. Aptoria closes the loop on routine, in-bounds work within the limits you set, and writes every step to the audit ledger.
Related tools & guides
From definition to done
Aptoria runs the routine work behind these terms — rent, books, and screening — inside limits you set. Free for your first unit.
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