Samples

Inspect the operating logic before checkout

These samples show the structure, decision support, scoring models, and quality checks included in the paid packs. Full products include the complete templates, workflows, implementation detail, and editable DOCX/XLSX files.

Samples are shortened previews. Paid files are intended for internal operating use and should be reviewed by qualified legal, privacy, security, HR, or compliance owners before use in regulated or high-impact workflows.

Employee AI policy

Employee AI Use Policy Template

CHF 39

Employee AI policy excerpt

Set clear employee rules for ChatGPT, Claude, Copilot, Gemini, and AI SaaS use before sensitive company data leaks into unmanaged tools.

Included sections

approved use
restricted data
prohibited use
manager review
employee acknowledgement

Sample lines

Employees may use approved AI tools for drafting, summarizing, brainstorming, translation, and internal productivity when restricted data is excluded.

Do not enter customer confidential information, credentials, unreleased financials, regulated data, HR records, or source code into unapproved tools.

Managers must confirm owner, use case, data category, users, tool status, and review date before expanding use.

Quality checks

Rules are employee-facing.
Restricted data categories are explicit.
The policy creates a review path instead of only prohibitions.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

Employee AI policy

AI Tool Approval Form and Register

CHF 49

AI tool register excerpt

Track approved AI tools, owners, data categories, use cases, review evidence, and next review dates in one operating register.

Included sections

tool request form
approved tools register
risk tiering
review cadence
decision bands

Sample lines

Register fields: tool, owner, department, use case, user group, data category, approval status, evidence link, decision, review date.

Approval status: approved, approved with restrictions, pilot only, blocked, retired, or pending evidence.

Review rule: tools touching customer, employee, financial, regulated, or source-code data require deeper review before rollout.

Quality checks

Inventory fields support review.
Approval status is decision-ready.
Sensitive use cases trigger escalation.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

AI literacy

AI Literacy Training Deck for Employees

CHF 79

AI literacy training excerpt

Train employees on safe AI use, data handling, hallucination risk, human review, and escalation expectations.

Included sections

training agenda
employee rules
safe prompting
knowledge checks
attendance record

Sample lines

AI output must be reviewed before customer, legal, HR, financial, technical, or public use.

Knowledge check: identify whether a proposed prompt includes confidential, regulated, or customer data.

Escalation rule: ask the tool owner or manager before using AI for sensitive workflows, automated decisions, or external publication.

Quality checks

Training is practical.
Knowledge checks test behavior.
Attendance and acknowledgement can be recorded.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

Employee AI policy

AI Policy Starter Kit for Companies

CHF 149

AI policy starter kit excerpt

Launch a basic company AI policy program with rules, tool approval, employee training, acknowledgement, and review cadence.

Included sections

employee AI policy
tool approval register
training outline
rollout emails
quarterly review

Sample lines

Policy section: approved AI use, restricted data, prohibited workflows, review expectations, and employee accountability.

Rollout section: employee acknowledgement, manager talking points, training attendance, and quarterly review cadence.

Quality checks

Bundle connects policy to operating workflow.
Training and register support evidence.
Rollout steps are included.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

AI governance

AI Risk Register and Assessment Template

CHF 199

AI risk register excerpt

Rank AI use cases by data exposure, decision impact, vendor dependency, human review, control strength, and residual risk.

Included sections

AI use-case register
risk scoring
mitigation tracker
management summary
review cadence

Sample lines

Risk fields: use case, owner, system, users, data category, output use, decision impact, human review, vendor, controls, residual risk.

High-risk signal: AI output affects employment, credit, health, access, legal rights, pricing, eligibility, or customer-impacting decisions.

Mitigation examples: restrict data, require review, add approval owner, document prompt rules, collect vendor evidence, or block use.

Quality checks

Risk fields are specific.
High-impact use cases are visible.
Mitigations map to review decisions.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

AI vendor review

AI Vendor Review Questionnaire

CHF 199

AI vendor review excerpt

Evaluate AI SaaS vendors before employees upload prompts, files, customer data, confidential information, or regulated data.

Included sections

data-use questions
training opt-out
retention and deletion
subprocessors
approval bands

Sample lines

Will prompts, uploaded files, outputs, embeddings, metadata, logs, or feedback be used for training or product improvement?

Can the buyer opt out of training and receive contractual language covering customer data and uploaded content?

Blocker: no deletion commitment, no retention window, no subprocessor list, and no training-use clarity for sensitive data.

Quality checks

AI-specific data flows are covered.
Blocker criteria are explicit.
Vendor answers support approve, pilot, defer, or block decisions.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

AI governance

EU AI Act Lite Readiness Checklist

CHF 249

EU AI Act readiness excerpt

Organize AI inventory, policy, literacy, ownership, vendor evidence, and risk records before formal EU AI Act review.

Included sections

AI system inventory
AI literacy check
restricted-use review
vendor evidence
management action tracker

Sample lines

Inventory every AI system used, bought, embedded, or piloted, including owner, department, vendor, data category, purpose, and output use.

Confirm employees understand prohibited and restricted AI use, data handling limits, and human review expectations.

Action tracker: assign owners for AI policy, tool inventory, training evidence, vendor evidence, risk register, and management review.

Quality checks

Checklist is non-legal but practical.
Inventory and ownership are explicit.
Outputs prepare teams for counsel or compliance review.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

AI governance

ISO 42001 Gap Checklist for Small Teams

CHF 299

ISO 42001 gap excerpt

Understand AI management-system gaps before formal ISO 42001 certification, audit, or consulting work.

Included sections

policy gaps
role gaps
AI inventory
risk assessment
evidence readiness

Sample lines

Gap area: AI policy exists, is approved, has an owner, covers employee use, vendor use, sensitive data, and review cadence.

Gap area: AI inventory records systems, owners, intended use, data categories, output use, vendor dependency, and review date.

Gap area: management review receives risks, incidents, exceptions, approvals, training status, and planned improvements.

Quality checks

Gaps are organized by operating artifact.
Evidence readiness is explicit.
Small teams can prioritize before deeper assurance work.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.

Industry AI policy

Agency AI Policy Kit

CHF 399

Agency AI policy excerpt

Set client-data, disclosure, review, and tool-approval rules for agencies using AI in client work.

Included sections

client-data restrictions
AI-assisted work review
disclosure guidance
approved tools
account-team workflow

Sample lines

Client data rule: do not upload non-public client materials, credentials, campaign data, personal data, or strategy documents to unapproved AI tools.

Review rule: AI-assisted output must be checked for factual accuracy, tone, brand fit, confidentiality, claims, and source sensitivity before client delivery.

Disclosure note: when required by contract or client policy, explain how AI supported drafting, analysis, ideation, or production.

Quality checks

Client confidentiality is central.
Review workflow is practical.
Disclosure guidance avoids blanket claims.

Paid file preview

Markdown delivery document for quick reading inside the order page.

DOCX implementation document for editing and internal rollout.

XLSX tracker or register for owners, status, evidence, dates, and follow-up actions.