Trust & security

Responsible AI for governed, reviewable collaboration.

A trust page explaining how Zoiko Sema frames responsible AI principles, human review, admin controls, data protection, safety boundaries, transparency, and enterprise assurance for AI-powered communication workflows.

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Responsible AI at a glance

AI that assists communication and stays reviewable.

Plain-language summary of how Zoiko Sema approaches AI — with deeper terms routed to the AI Use Policy, Privacy Notice, Security Policy, and Admin Console.

HR

Human review

AI can summarize, organize, and draft — review accuracy, context, ownership, and sensitivity before relying or sharing.

Jump to human review
AG

Admin governance

Owners and admins configure availability, permissions, sensitive-space rules, retention, and sharing where supported.

View Admin Console
DP

Data protection

AI-related data handling connects to the Privacy Notice, DPA, Security Policy, and subprocessor list.

View Privacy & Data
SB

Safety boundaries

AI features should not be used for policy-violating, harmful, deceptive, or unauthorized activity.

Read AI Use Policy
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AI feature scope

What this page covers.

AI meeting summaries

Summaries, highlights, decisions, and follow-ups generated from meetings where enabled.

AI Meeting Summaries

Action item extraction

Suggested owners, tasks, due dates, and follow-up workflows — with human confirmation expected.

AI Use Policy

Decision capture

Suggested decision records surfaced from meetings, threads, or workspace for review.

AI Use Policy

Follow-up suggestions

Suggested next steps, drafted messages, or task prompts — review before send.

Help Center

AI-assisted search

AI-supported answers, summaries, or contextual assistance with source-checking guidance.

Help Center

Workspace automation

AI-assisted workflow prompts and governance notifications where supported.

Admin Console

Developer / API AI

AI-related integrations or API workflows where applicable.

Developer Docs

Responsible AI principles

Principles mapped to real controls.

Trust framework

Useful, not final

AI assists with summaries, tasks, decisions, and drafts — it should not replace user review or professional judgment.

Maps to: Human review guidance

Admin governed

AI features are managed by workspace owners and admins based on organizational needs.

Maps to: Admin Console, role permissions

Privacy-aware

AI-related data handling aligns with approved privacy, security, DPA, and subprocessor materials.

Maps to: Privacy & Data, Reports

Transparent

Users are informed when AI is used and where AI output appears.

Maps to: AI labels, notifications

Safety bounded

AI features should not support harmful, deceptive, unauthorized, or policy-violating activity.

Maps to: AI Use Policy, Reports Console

Continuously improved

Feedback, quality checks, issue reports, and governance review inform improvements.

Maps to: Feedback flow, incident review

Design requirement

Principles are stated in clear, evidence-oriented language. We avoid vague claims such as "ethical by default" or "fully safe" — each principle maps to a control, review path, reporting route, or related trust document.

Human Review & Output Quality

AI output is helpful, not final.

Review AI output for accuracy, context, ownership, and sensitivity before relying on it, sharing it, or treating it as a record.

Review before relying

Review AI output before using it for decisions, follow-ups, external communication, or records.

Professional judgment

AI output should not replace legal, medical, financial, security, compliance, or employment review.

AI Review

Review before sharing

Confirm recipients, permissions, accuracy, sensitivity, and context before sharing AI output.

Editable outputs

Where supported, correct summaries, decisions, and action items before publication.

Admin Governance & Controls

Admins govern how AI is used.

Workspace owners and admins configure availability, permissions, sensitive spaces, retention, sharing, and audit visibility — where supported by plan and role.

Agentic AI
Workspace Controls

Data, Privacy & Security

AI use connects to approved trust material.

Privacy Notice

Data categories, privacy choices, and request routes.

View Privacy & Data →

Data Processing Addendum

Supports enterprise privacy and legal review of customer data processing.

View DPA →

Security Policy

Security safeguards, access controls, and enterprise security review.

Visit Security Center →

Subprocessors

Approved subprocessors categories and the applicable service provider list.

View Subprocessors →

Compliance

Compliance posture, assurance documents, and enterprise review path.

View Compliance →

AI Use Policy

Responsible AI usage restrictions, outputs, sharing, and reporting.

Read AI Use Policy →
AI Governance

Safety Boundaries

Where AI should not be used.

Categories and routes below align with the AI Use Policy, Acceptable Use Policy, and Security Policy. Final restrictions live in those approved documents.

Illegal, harmful, or deceptive use

AI must not support activities that violate law, safety, platform rules, or user rights.

Unauthorized access or security misuse

AI must not be used to bypass controls, extract credentials, or misuse systems.

Sensitive decisions

AI output should not be the sole basis for high-impact decisions.

Privacy misuse

AI should not expose or infer sensitive or personal information outside permitted controls.

Unreviewed external sharing

AI summaries and follow-ups should not be shared outside permitted audiences without review.

Misleading representation

Do not present AI output as verified, final, or officially approved unless reviewed and authorized.

Transparency & User Choice

Users see when AI is active.

AI labels

AI-generated summaries, decisions, tasks, or suggestions are clearly labeled where supported.

Feature status

Users see when AI features are active, unavailable, disabled, or restricted by admin policy.

Source & context

Where supported, output shows the meeting, transcript, thread, or workspace source behind it.

Control visibility

Users and admins know where to manage AI settings or request access changes.

Participant awareness

Meeting AI features may show participant-facing context where appropriate.

Choice & reporting

Users can give feedback, report errors, or raise concerns.

Governance Lifecycle

Define, configure, use, review, improve.

Define

Feature scope, policy rules, risk review.

Configure

Admin controls, permissions, retention.

Use

AI summaries, action items, assistive output.

Review

Human checks, edit history, quality, feedback.

Improve

Reports, audits, metrics, updates.

Governance Meeting
Business Review

Need responsible AI review materials for your organization?

Visit the Trust Center, read the AI Use Policy, review Privacy & Data, request a DPA, or contact the right team for enterprise AI governance questions.

Responsible AI FAQ

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