Prove The AI Worked, Don't Assert It
Every AI intervention gets a baseline before and a score after a fixed window. Windows that close without enough signal are reported as inconclusive, never dressed up as a result.
What Loop Does
The Measurement Ledger
One row per intervention — what it was, what was measured, the baseline, the score after the window, and the delta. Lessons, acted-on suggestions and engagement actions all land in the same ledger, so one page answers "did our interventions help" rather than one page per app.
Inconclusive Is A Real Answer
When a window closes with too little signal — too few resolved tickets of that type, say — Loop says so. A delta computed from three data points is noise wearing the costume of a result, and it will not publish one.
No Hand-Entered Numbers
Measurements are seeded by the platform at the moment of intervention. There is deliberately no screen to create or edit one — a ledger you can type into is not evidence.
The Loop, End To End
Detect, remember, measure, adopt. Each stage already existed somewhere on the platform; Loop is where they meet and get scored.
Detect
Remember
Measure
Adopt
Author The Automations, Then Read The Receipts
Schedule Or Trigger
Pick a playbook, then run it on a schedule or bind it to an event. Set the inputs it runs with, and require approval before its risky steps execute if you want a human in the loop.
Run History With Retry
Every execution with its per-step results and timings. Retry a failed run and completed steps are skipped rather than repeated; cancel one that is stuck. Export to CSV for compliance review.
Failing-Tool Rollup
The runs page surfaces which tools have been failing most often recently, so a quietly degrading integration shows up as a pattern instead of a series of unrelated errors.
REPLACES SCATTERED ADMIN PAGES
One app instead of five admin pages that never talked to each other
Automation authoring, run history, AI outcomes, suggestion administration and agent corrections each lived on their own admin page. None of them knew whether the others had helped. Loop makes them tabs of one app and adds the measurement that connects them.
Frequently Asked Questions
No — and that is deliberate. Approvals, pausing an agent or a whole domain, the global kill switch and agent health all live in AI Operations under Admin, and they stay there whether or not you enable Loop. Emergency controls never sit behind an app licence.
The platform seeds them automatically at intervention moments — a lesson that flags a problem, a suggestion someone acts on, an engagement action completing. Each gets a baseline at that moment and a score when its window closes. Nothing is hand-entered, and there is no screen to edit one.
The measurement window closed but there was too little signal to say anything honest. Loop reports that plainly rather than publishing a delta that would just be noise. It means "we will not guess", not "it failed".
Muscle Memory is what the business remembers — evidence-backed lessons with confidence and decay. Loop is how the business learns — the measurement ledger, the automations that act on what was learned, and the outcome, suggestion and correction surfaces. A lesson reaches Loop's ledger only once it intervened and was measured.
Business admins and Loop app-admins have full access. One setting, off by default, extends the read-only overview to managers; the interior tabs stay admin-only regardless.
Loop is licensed and opt-in per tenant, and is included with the Platform Standard and Enterprise tiers rather than sold on its own. Like every app it provisions disabled and an admin turns it on.
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