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Autonomy & Approvals

The autonomy ladder, the approval queue and the action catalog that keep Enterprise Mind inside limits you control.

Choosing a level

Three questions decide how high an action class should go: how bad is a wrong action, can it be undone, and how often does it happen.

ActionIf it goes wrongReversibleVolumeSuggested ceiling
Tag a customer recordTrivialYesHighL3
Assign a housekeeping taskMinorYesHighL3
Create a work orderModerateYes, can be cancelledMediumL2
Reorder stockModeratePartlyMediumL2
Send a paymentSeriousNoLowL1
Confirm a clinical stepSeriousNoLowNot offered

Rule of thumb

If you would not let a new colleague do it unsupervised in their first week, keep it at Suggest or Approve.

Autonomy ladder

Autonomy is set per action class (for example "Assign housekeeping task" or "Create work order"), never as one global switch. Every class starts at L0.

Why a ladder and not a switch? Trust in people grows step by step, and so should trust in a system. Each level lets you see how the class behaves before the next level lets it do more, and a bad week costs you one step, not everything.

app.totalapp.app/enterprise-mind/autonomy
Autonomy ladderL0 → L4
L0
L1
L2
L3
L4
ObserveSuggestApproveLimited autoConditional
Assign housekeeping taskL3
92%
Auto-runs under $50 and when reversible
Create work orderL2
81%
One-click approval by Plant Manager
Send paymentL1
64%
Always a person. Policy cap applies.
Kill switchone tap back to L0
LevelNameWhat happens
L0ObserveDecisions are recorded. No suggestions.
L1SuggestSuggestions appear with evidence. A person does the action.
L2ApproveAn approver accepts with one click and the action runs.
L3Limited autoLow-risk, reversible actions inside your limits run on their own and are reported afterwards.
L4ConditionalMedium-risk actions run under explicit conditions you define, after a passing evaluation and admin approval.

Moving up and down

  • Promotion is always a decision by an administrator. The screen shows the acceptance rate, error trend and number of cases behind the request.
  • Demotion happens by itself. If acceptance or accuracy drops below the threshold, the class falls one level and the administrator is notified.
  • Kill switch. One control returns a module, or the whole tenant, to L0 immediately.

Limits beat confidence

Spending caps, sensitive data and irreversible actions always need a person, whatever the level and however confident the suggestion is.

Limits

Limits are conditions an action must satisfy at every level above Suggest. They are checked every time, even for actions that have run a thousand times before.

LimitExampleIf exceeded
Spending cap per action$100Escalates to the approver role
Daily total$500 per moduleFurther actions wait for a person
Time windowWeekdays 08:00 to 18:00Held until the window opens
Data classSensitive data excludedBlocked
ReversibilityOnly actions that can be undoneNever auto-runs
Approver countTwo approvers above a thresholdWaits for the second approver

Shadow mode before promotion

Before you promote a class, run it in shadow mode. Enterprise Mind makes its suggestion silently while people carry on as usual, then compares its suggestion with what people actually did.

  • Nothing is shown to staff and nothing runs.
  • The Autonomy screen shows how often the silent suggestion matched the real decision.
  • Cases where they differ are listed, so you can see who was right.

Approval queue

Suggestions that need a decision wait in the approval queue. Each card is complete on its own: you should not have to open another screen to decide.

What a good approval queue looks like

  • Short: cards that need no decision are never shown.
  • Self-contained: you can decide without opening another screen.
  • Owned: every card has a named approver role, and each role has a deputy.
  • Honest: a low-confidence card says so and escalates instead of pretending.
app.totalapp.app/enterprise-mind/approvals
Approval queue3 waiting
86
Add one cleaner to Friday shift
Hospitality · cost $64
LOW RISK
Why this suggestion
• Sep 12: same load ran 40 min late (T-102)
• 4 rooms checkout at 11:00, 3 arrivals at 15:00
• Within your $100 per-action limit
Approve Edit Rejecttrace tr_77
41
Bulk reorder oak planks
Warehouse · confidence too low
ESCALATED
73
Tire rotation WO-2041
FleetOps · approver: Plant Manager
WAITING
On the cardWhat it tells you
Confidence ringHow sure the engine is, from 0 to 100.
Risk badgeLow, medium or high, from your policy.
Why this suggestionThe cases and facts behind it, each linked to its source.
Policy checkWhether limits such as cost caps are met.
TraceA reference you can quote when asking about this decision later.
  • Approve, edit or reject. Editing and rejecting both ask for an optional reason that goes into the ledger.
  • Escalation. Low confidence moves a card to the approver role you configured. Escalated cards are marked.
  • Safe to retry. Approving the same card twice runs the action only once.
  • Unknown is not failed. If an action gets no answer from an outside system, the card shows "unknown" and asks for a check instead of reporting success or failure.

Who can approve

Only roles holding the Execute capability see Approve. Everyone else sees the card read-only.

Escalation

A suggestion is escalated when it needs more authority than the first approver has, or when the engine is not sure enough.

TriggerGoes toWhat the card shows
Confidence below the thresholdThe senior approver role you setAn "Escalated" badge and the reason
Cost above the per-action capManagerThe cap and the amount over it
Touches a sensitive classModule administratorWhich data class and why
Two approvers requiredA second approverWho approved first

Action catalog

Enterprise Mind can only run actions that an administrator listed in the catalog of the module. Anything not on the list cannot run, whatever the level.

ModuleExample catalog entries
HospitalityAssign housekeeping task, add a shift, send a guest message
FleetOpsCreate work order, schedule a tire rotation
Call CenterCreate a follow-up task, tag a customer record

Related pages: Memory · Governance, Privacy & Voice

Worked example: promoting a class

The hotel operations manager wants "Assign housekeeping task" to stop waiting for clicks.

  1. The class has been at Suggest for four weeks. The Autonomy screen shows 92 percent acceptance across 310 cases.
  2. The manager runs a week in shadow mode for the Approve level. The silent suggestion matches what staff did in 94 percent of cases.
  3. The class moves to Approve. Approvers now accept with one click.
  4. Three weeks later acceptance is still above 90 percent, so the manager allows Limited auto for tasks under $50 that can be reassigned.
  5. In week two of auto-run, acceptance dips to 68 percent after a staffing change. The class falls to Approve by itself and the manager is notified.

Nothing dramatic happened. The ladder did what it is for: autonomy followed the evidence up, and down.

Reviewing what ran

Every action that ran on its own is listed on the Autonomy screen with what it did, which limits it passed, and a button to undo it where undoing is possible. Review it weekly while a class is new to auto-run.

ColumnMeaning
Ran atWhen the action ran.
Class and recordWhat kind of action and which record it touched.
Limits passedEach limit checked, with the value at the time.
ResultDone, failed or unknown.
UndoReverses the action when that is possible.