A System You Can See,
Understand, and Trust
ZoikoTime makes workforce data, system behaviour, and decision logic fully visible, explainable, and accountable across every layer of operation.
If a decision or signal exists, it can be explained, traced, and verified.
"Why Did This Happen?" —
Answered
ZoikoTime's Explainability Engine answers any question about a session, signal, or decision — in human-readable language, with full supporting data, policy reference, and confidence score. Select an example to see the engine in action.
Outcome
Session flagged as anomalous
SES-2026-08842
Dual-Mode Transparency
Two Views of Transparency
Transparency is tailored to the stakeholder but consistent across all of them. Enterprise and employee views show the same underlying data through lenses appropriate to each context.
Enterprise View
For HR, Compliance, and Management teams
System-Wide Insights
Workforce-level confidence score distribution, anomaly rate, and policy compliance metrics — across all teams and jurisdictions.
Policy Enforcement View
Which policies are active, how many sessions triggered each rule, and the outcome distribution — for governance and control review.
Audit Perspective
Full audit trail access — every session, every decision, every evidence record — with export capability for regulatory and legal review.
Decision Trace Access
Any outcome can be reconstructed step-by-step — from input signals through AI reasoning to human decision and final evidence record.
Enterprise view provides governance visibility without exposing individual worker data beyond what is required for each role's governance function.
Employee View
Personal data visibility for individual workers
My Data
What signals were collected during each session — identity, device, location, and activity — and how long each is retained.
My Confidence Score
How my session confidence score was calculated — which layers contributed, which signals were present, and the final score.
How It Is Used
A plain-language explanation of how my session data influences payroll, billing, and compliance records — with the policy reference applied.
My Privacy Rights
How to submit a data subject rights request — access, correction, deletion, restriction, or objection — with expected timelines.
Employees are not subjects of the system — they are participants within it, with full visibility into what the system records about them and why.
System Logic
How the System Thinks
Every node in ZoikoTime's processing pipeline is visible and documented — hover to see what each layer does, what inputs it requires, and what output it produces.
ZoikoTime Processing Pipeline — Interactive Diagram
Data Input
Identity · Device · Location ·
Activity
Validation Rules
Policy thresholds · Baseline
comparison
Policy Layer
Jurisdiction rules · Role
configuration
AI Reasoning
Confidence scoring · Pattern
analysis
Human Review
Tier 2/3 decisions · Override
capability
Output Generation
Evidence records · Payroll
signal
Click any node to see what that layer processes, what decisions it makes, and what evidence it generates. Every step in this pipeline is auditable.
Decision Trace
Reconstruct Any Outcome Step by Step
Every outcome in ZoikoTime can be reconstructed chronologically — showing exactly what happened, when, why, and who was involved at each stage. Select a scenario to see a full trace.
Session Payroll Validation — USR-04417 — 2026-03-18
Accepted: 96/100Data Collected
08:01:14Session initiated — identity signals, device fingerprint, and location signal captured at session start. Baseline comparison initiated against 90-day individual profile.
Validation Applied
ContinuousAll four verification layers assessed — identity (97), session (95), device (98), location (94). All within policy threshold of 80 minimum.
AI Reasoning Completed
96 ConfidenceNo anomalous patterns detected across 8.56 hours. Behavioural consistency with 90-day baseline confirmed. No manipulation indicators identified.
Policy Applied
Policy MetEnterprise Remote Session Policy v3.2 — UK jurisdiction — all conditions met. Payroll approval threshold satisfied.
Outcome Recorded
ApprovedSession approved for payroll — 8.56 hours at verified rate. Evidence record SES-2026-08841 sealed with SHA-256 integrity hash.
Every outcome can be reconstructed step-by-step — from first input signal through final payroll approval or rejection, with complete evidence at each stage.
System Boundaries
System Boundaries Clearly Stated
Transparency requires honesty about what a system does and what it does not. These are ZoikoTime's definitive system boundaries.
✓ What ZoikoTime Does
Verifies session identity, device, and location using defined signals — with full documentation
Assigns a confidence score to every session — with AI reasoning attached
Detects anomalous patterns and surfaces them for human review
Generates tamper-evident evidence records for every session automatically
Enforces employer-configured policies consistently across all workers
Provides workers with full visibility into their own session data and confidence scores
✗ What ZoikoTime Does Not Do
Make autonomous disciplinary or employment decisions — humans retain full decision authority
Record screenshots, keystrokes, screen content, or personal communications
Collect data beyond what is required for the stated governance purpose
Produce outcomes without explanation — every signal and decision includes reasoning
Process data for purposes not instructed by the Controller organisation
Operate with logic that cannot be inspected, explained, and audited at any time
Nothing happens in ZoikoTime that cannot be explained. If it cannot be traced and documented, it does not happen.
Real System Explanations
Live Explainability Examples
Three real scenarios — each showing how ZoikoTime explains its
reasoning in human-readable language, with full supporting data.
Why a Workload Imbalance Was Flagged
Consultant K. Adams is showing a 40% gap between logged hours and verified task completion — below team baseline for the third consecutive week. The performance intelligence engine has flagged this pattern for manager review.
System Explanation — Performance Intelligence
Task completion 40% below logged hours — 3rd
consecutive week. Output quality declining relative to
team baseline.
Pattern is distinct from workload level — hours are at full
capacity but output rate is declining. Could indicate
capacity issue, task complexity change, or
engagement factor.
85% — Pattern consistent across 15 sessions. Manager
review recommended, not automated action.
Manager review — performance intelligence is
provided as context for a human conversation,
not as a performance assessment in itself.
Frequently Asked
Direct Answers to Direct Questions
Category-Defining
See Exactly How ZoikoTime Works
Explore the Explainability Engine, request a live demo, or download the
Transparency Guide — everything you need to understand, evaluate, and trust ZoikoTime's system behaviour.