Transparency Center

Transparency Center

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.

Explainability Engine

"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
92% Confidence
Explanation
Supporting Data
Policy Reference
Decision

Transparency Center

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.

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.

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.

Frequently Asked

Direct Answers to Direct Questions

No. ZoikoTime is designed for accountability, not intrusion. The platform focuses on verifying professional session data—such as identity and location—to ensure compliance with organizational policies rather than monitoring personal activity.

Privacy is a core pillar of our architecture. We utilize robust privacy controls and are fully GDPR compliant. Data collection is limited to what is necessary for shift verification and audit readiness, ensuring that workforce assurance does not come at the cost of individual privacy.

The system collects “Proof of Presence” data, which includes timestamped session logs, location validation, and periodic identity verification. This creates a tamper-evident record used to eliminate payroll disputes and satisfy regulatory audits.​

Absolutely. ZoikoTime is built to adapt to your operational reality. You can configure specific jurisdiction rules, shift compliance standards, and staffing-ratio requirements (such as CQC alignment in healthcare) to match your unique regulatory environment.

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.

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