Samples
Inspect AI policy, governance, and agency ops samples before checkout These samples show the structure, decision support, scoring models, rollout workflows, and quality checks included in the paid templates and 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 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.
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 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.
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.
Register section: tool owner, department, use case, data category, approval status, evidence, and review date.
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 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 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.
EU AI Act Readiness Operating 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.
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.
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.
AI Policy Launch Pack CHF 249
AI policy launch pack excerpt Launch employee AI rules, tool approval, training, acknowledgement, and quarterly review as one connected operating workflow.
Included sections launch sequence employee policy tool approval register training evidence management review Sample lines Week one: assign owners, publish baseline employee AI rules, and inventory known AI tools already in use.
Week two: run AI literacy training, collect acknowledgements, and open the tool request workflow for new AI use cases.
Management review: summarize active tools, blocked tools, training completion, vendor evidence gaps, exceptions, and next decisions.
Quality checks Policy is tied to approval records. Training evidence is included. Management review has a repeatable cadence. 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 Readiness Pack CHF 699
AI governance readiness pack excerpt Move from first AI policy into risk scoring, vendor evidence, readiness gaps, and management review.
Included sections AI inventory risk scoring vendor questionnaire EU AI Act readiness ISO 42001 gap review Sample lines Inventory AI systems with owner, vendor, purpose, users, data category, output use, human review, and next review date.
Score use cases by data exposure, decision impact, vendor dependency, human review, control strength, and residual risk.
Prepare management review with high residual risks, blocked uses, pending vendor evidence, training gaps, incidents, and next actions.
Quality checks Risk and vendor evidence connect. Readiness gaps have owners. The output prepares teams for counsel, audit, or procurement 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.
Agency AI Ops Pack CHF 599
Agency AI ops pack excerpt Control AI use in client work with client-data rules, onboarding questions, tool approval, disclosure workflow, and delivery review.
Included sections client-data restrictions client onboarding questions approved tools register delivery review disclosure workflow Sample lines Client onboarding asks whether AI-assisted work is allowed, whether disclosure is required, and which tools or data uses are prohibited.
Tool approval records allowed uses, restricted client data, vendor evidence, client exceptions, and review dates.
Delivery review checks factual accuracy, confidentiality, tone, brand fit, originality, licensing risk, claims, and client instructions.
Quality checks Client confidentiality drives the workflow. Account teams get repeatable questions. Disclosure language avoids overstatement. 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.