ZoikoDigital

Shift Integrity Controls

Accurate shift
records, built on
human review

ZoikoTime keeps shift records policy-bound and reviewable — with worker transparency, neutral exception states, and traceable evidence at every step. Workforce Truth Infrastructure, not employee monitoring.

  • No screenshots or keystrokes
  • No GPS tracking
  • Human review, always
A worker reviewing their shift recordPolicy-bound · reviewable

Shift Integrity Control Center

1,204
Records verified
22
Needs review
98.4%
Policy health
Selected recordLate Clock-In — Pending Review

Policy, Record & Responsibility Overview

Three things every shift record depends on

Policy

Effective-dated rules define what a valid shift looks like — grace windows, rounding, and required context — versioned and owned by your organization.

Record

Every shift event, evaluation, flag, correction, and approval is preserved with actor, timestamp, and rationale.

Responsibility

Workers add context. Reviewers decide. ZoikoTime evaluates against policy — it never makes the consequential call.

Operating Model

Configure → Evaluate → Record → Review → Resolve → Preserve

  1. Configure

    Policy owner sets rules, thresholds, and effective dates

  2. Evaluate

    Deterministic rules assess captured events against policy

  3. Record

    Shift event and evaluation preserved with source and time

  4. Review

    Worker adds context; reviewer assesses and decides

  5. Resolve

    Decision, rationale, and any correction are logged

  6. Preserve

    Full version history retained per approved retention policy

Neutral State Model

Every state describes the record — never the worker

StateMeaningOwner
CapturedShift event received; evaluation pendingSystem
VerifiedEvaluated against policy with no unresolved conflictSystem
Needs ContextA required detail is missing or conflictingWorker
Pending ReviewContext provided; awaiting reviewer decisionReviewer
CorrectedAuthorized change recorded with full historyReviewer
ApprovedRequired controls complete; ready for downstream useApprover

Canonical example: “Late Clock-In — Pending Review.” Never “no-show,” “tardy,” or any label implying fault before review.

Source & Policy Context

Where a shift event comes from — and what governs it

SourceCapturesPolicy dependency
Mobile appClock-in/out, break events, source timestampGrace window, geofence rules where configured
Desktop / webClock-in/out and approved manual entriesApproval requirements for manual entry
Kiosk / terminalShared-device clock events with identity checkIdentity verification method configured per site
Scheduling integrationExpected shift start/end for comparisonSchedule source and sync freshness

Worker Experience

My Shifts — clear, and yours to review

A worker checking their shift record on a handheld device

Every shift, explained in plain language

Workers see their own shift record, its current state, and exactly what’s needed to resolve it — without digging through a manager’s tool.

  • See today's shift, breaks, and current state at a glance
  • Add context or request a correction directly from the record
  • Follow review history — who decided, and why

Reviewer Experience

A focused queue, not a flood of alerts

Review Queue

Site: Northwind Ops

RecordIssueStatusNext action

Worker #2291

Shift Aug 4

Late clock-in, 6 minNeeds ContextAwaiting worker input

Worker #2304

Shift Aug 4

Missed break eventPending ReviewContext received · decide

Worker #2318

Shift Aug 3

Clock-out mismatchApprovedReady for export

Shift Integrity Control Center

The full picture, in one dashboard

Production-faithful, shown here with synthetic data.

Control Center · Full view

Aug 5, 2026 · Rolling 7 days

1,204
Records verified

↑ 3.1% week over week

22
Needs review

6 due today

98.4%
Policy health

No unresolved conflicts

99.1%
Source freshness

All sources syncing

ExceptionSiteCorrectionStatus
Late Clock-InNorthwind OpsWorker submittedPending Review
Missed BreakMeridian+Not yet submittedNeeds Context
Duplicate Clock-OutAstera RetailReviewer correctedApproved

Audit timeline

  • Policy v4.2 publishedAug 3
  • Grace window updated · Site BJul 29
  • Kiosk source reconnectedJul 27

Activity feed

  • Reviewer approved #23182 min ago
  • Worker context added #229118 min ago
  • Schedule sync completed1 hr ago

Schedule & Boundary Alignment

Compare captured time against expected shift boundaries

Expected vs. captured

When a schedule source is connected, ZoikoTime compares captured events against the expected start, end, and break windows — surfacing conflicts, not assuming intent.

Grace & rounding

Configured grace windows and rounding rules apply consistently, versioned and auditable, so the same policy produces the same outcome every time.

No schedule, no assumption

Where no approved schedule exists, ZoikoTime evaluates against configured shift-length policy only — it never infers an expected shift on its own.

Timezone & DST aware

Boundary comparisons account for worker/location timezone and daylight-saving transitions, so effective time is never ambiguous.

Recorded Shift Record Anatomy

What’s inside every record

FieldDescription
Captured eventsClock-in/out, break, and time source, each with its own timestamp
Policy appliedRule set, version, and effective date used for the evaluation
Evaluation outcomeDeterministic state and the specific conditions that produced it
Worker contextComments, attached context, and correction requests
Reviewer decisionActor, decision, rationale, and timestamp
Version historyBefore/after values for every authorized change

Correction Request Workflow

From flagged record to resolved outcome

  1. 1

    Record flagged

    A neutral exception state appears with the exact issue and who owns the next action.

  2. 2

    Worker adds context

    The worker explains what happened or requests a correction, visible to the assigned reviewer.

  3. 3

    Reviewer assesses

    An authorized reviewer accepts, corrects, requests more context, or escalates — never automated.

  4. 4

    Decision recorded

    Rationale, actor, and timestamp are preserved alongside the before/after values.

  5. 5

    Worker notified

    The outcome and updated status are visible on the worker's own record immediately.

Exception Resolution

Common exceptions, resolved consistently

Late clock-in

Compared against the configured grace window, then held for worker context — not counted against anyone automatically.

Missed break event

Surfaced as incomplete, not judged — worker and reviewer resolve together with the applicable policy in view.

Duplicate or conflicting event

System-level detection with reviewer confirmation for anything ambiguous — never silently discarded.

Reviewed by people, not left to a black box

Every exception on this dashboard was resolved by a named reviewer — never an automated decision.

Reporting & Enterprise Trust

Evidence your team can stand behind

Policy owners reviewing a change timeline

Policy governance

Version history and change timelines keep every policy update accountable and traceable.

Visit Trust Center →

Implementation Journey

A measured path to go-live

  1. 1

    Discovery

    Confirm populations, sources, existing policies, and success measures.

  2. 2

    Policy mapping

    Translate grace windows, rounding, and escalation rules into versioned configuration.

  3. 3

    Pilot

    A representative site runs real shifts with full review and correction workflows active.

  4. 4

    Rollout & operate

    Training, worker communications, go-live, and ongoing policy governance.