Trust & Governance

Trust & Governance

Governance, Compliance &
Assurance Framework

ZoikoTime is designed to withstand regulatory scrutiny, procurement due diligence, and legal challenge — with full compliance mapping, audit workflow simulations, and board-ready documentation available to every enterprise client.

Compliance Mapping Matrix

Line-by-Line Compliance Control Alignment

Searchable, filterable, and exportable — a complete mapping of ZoikoTime's implementation against every major compliance framework, with evidence generated for each control.

Audit Workflow Simulations

Experience an Audit Before It Happens

Step-by-step interactive walkthroughs of three audit scenarios — showing exactly what ZoikoTime produces when regulators, auditors, or investigators request evidence.

Governance Model

The ZoikoTime Governance Architecture

Four governance layers — each with a defined function, clear accountability, and structured evidence output — working together to create a complete, defensible governance model.

Policy Engine

All assurance and intelligence functions are governed by a configurable policy engine — jurisdiction- aware, role-specific, and auditable. No uncontrolled AI behaviour.

AI Intelligence Layer

Explainable AI that produces human-readable reasoning for every decision — no black-box outputs. Every confidence score is traceable to its input signals and the logic applied.

Evidence Layer

Every workforce action generates a tamper-evident evidence record — automatically, at the point of occurrence. No retrospective reconstruction, no manual compilation.

Human Oversight Layer

Human-in-command at every consequential decision point — the AI surfaces risk and intelligence, humans retain decision authority. No automated disciplinary outcomes, ever.

Data Governance

Data Governance by Design

Data governance is not a compliance checkbox in ZoikoTime — it is a system design requirement applied at every layer of data capture, processing, and retention.

Data Minimisation

Only the data required for the stated governance purpose is collected at any layer. No speculative, surplus, or future- use data capture — minimisation is enforced at the system architecture level, not just policy documentation.

Purpose Limitation

Data collected for workforce assurance is used exclusively for that purpose. Cross-purpose use is prevented at system level — not reliant on policy compliance by individual users or administrators.

Regional Controls

Data residency, processing jurisdiction, and cross-border transfer controls are configurable per deployment — aligned to GDPR, UK GDPR, CCPA, and other applicable jurisdictional requirements automatically.

Retention Policies

Automated retention schedules are applied per jurisdiction and data type — records are retained for exactly as long as required by applicable law and no longer, with deletion certificates provided at end of lifecycle.

Encryption & Security

AES-256 encryption at rest and TLS 1.3 in transit — applied to all workforce data from the moment of capture. Cryptographic integrity verification is performed on every evidence record at retrieval.

Auditability

Immutable logs of all data access, processing decisions, and system actions — providing complete traceability from any data point to its origin, every access event, and any decision that used it.

Regulator-Facing Documentation

Board & Regulator Submission Ready

A complete, structured governance document designed for submission to regulators, boards, and procurement due diligence teams — available for immediate download and distribution.

01

Executive Summary — System Purpose and Scope

02

System Classification — AI Act Risk Category

03

Governance Model — Four-Layer Architecture

04

Human Oversight Model — Tiered Decision Framework

05

Data Governance — Minimisation, Retention, Residency

06

Risk Management — Continuous Classification Engine

07

Auditability — Immutable Logs and Full Traceability

08

Ethical Framework — Fairness, Transparency, Accountability

09

Compliance Alignment — GDPR, ISO, SOC 2, EU AI Act

10

Limitations & Disclosures — Honest System Boundaries

Ethical Framework

The Four Ethical Foundations

Ethics are not aspirational in ZoikoTime — they are operational design requirements built into the system architecture and verifiable through the evidence it produces.

Fairness

Consistent policy application across all workers, roles, and jurisdictions — the same standards applied equally, with no bias in detection, scoring, or enforcement based on individual characteristics.

Transparency

Employees can understand what is collected, how it is used, and what decisions have been made about their sessions — visible through the Transparency Center and available on request.

Accountability

Every decision is attributed — to the AI reasoning that produced it and the human who confirmed it. No unattributed outcomes, no decisions without an auditable record of how they were reached.

Workforce Impact Consideration

Every product decision is assessed for its impact on workforce dignity and employee rights — verification that protects the organisation without diminishing the people in it is a non-negotiable design requirement.

Get Started

Governance That Withstands Any
Scrutiny

Whether facing a regulatory inspection, board review, or procurement due diligence — ZoikoTime provides the compliance evidence, audit documentation, and governance framework to respond with confidence.

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