Agency & Consultant Operations / Industry AI Kits
Agency AI Ops Pack
Client-service AI policy, disclosure, review, and approval material for agencies using AI in client work.
CHF 599
Who buys this
- agency
- operations
- procurement
Deliverables
- Bundle delivery document with implementation sequence and buyer notes
- Agency AI Policy Kit
- Employee AI Use Policy Template
- AI Tool Approval Form and Register
- AI Vendor Review Questionnaire
Business outcomes
- Combines agency AI policy, employee AI rules, tool approval, and AI vendor review for client-service workflows.
- Focuses on client confidentiality, disclosure, account-team review, approved tools, and vendor data-use evidence.
- Adds agency SOPs, client onboarding questions, delivery QA scoring, implementation workshop steps, and client response language.
Proof points
- Combines agency AI policy, employee AI rules, tool approval, and AI vendor review for client-service workflows.
- Focuses on client confidentiality, disclosure, account-team review, approved tools, and vendor data-use evidence.
- Adds agency SOPs, client onboarding questions, delivery QA scoring, implementation workshop steps, and client response language.
Asset proof


Buyer confidence
Quality standard
- Implementation-oriented language with owners, decisions, review cadence, and escalation paths.
- Editable DOCX documents for policy, rollout, review, and operating guidance.
- Structured XLSX trackers or registers with example rows, status fields, owners, dates, and evidence prompts.
- Public samples and redacted file previews before checkout.
- Buyer-fit and not-a-fit guidance so teams understand when professional review is still needed.
Preview
Client onboarding asks whether AI-assisted work is allowed, whether disclosure is required, and which tools or data uses are blocked.
Delivery review checks factual accuracy, confidentiality, brand fit, originality, claims, licensing risk, and client instructions.
Client response pack answers whether AI is used, whether confidential data is uploaded, whether output is reviewed, and how opt-outs work.
Public sample
Control AI use in client work with client-data rules, onboarding questions, tool approval, disclosure workflow, and delivery review.
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.
Buyer FAQ
Is this only for marketing agencies?
No. It can fit consultancies, studios, implementation partners, and client-service teams that use AI during client delivery.
Does it tell us exactly when to disclose AI use?
It provides disclosure workflow language and client-question prompts. Contract terms, client policy, and legal requirements should control final disclosure decisions.