ZANUS AI FOR MARKETING AGENCIES — PLAYBOOKS
Launch checklists, QA standards, naming conventions, the brand-review gauntlet: agency process usually lives in a senior’s head and dies with each resignation. In Zanus, playbooks are living documents — answerable in chat, attached to work, priority-ordered so the current version wins.
Private tenant or your own server · unlimited agency users · client separation by architecture

Playbook upkeep on the calendar: quarterly checklist reviews scheduled like client work.
Campaign launch checklist, reporting QA standard, asset naming convention, approval chain: one library, current versions on top, superseded drafts outranked.
“What is our pre-launch QA checklist for paid social?” — answered in seconds with the document attached, at 5 PM before the launch, to anyone authorized.
Work types carry their default playbooks: the AI drafting a campaign recap reads from the reporting standard — by construction.
The QA miss that cost a client is the QA step nobody knew existed. Quarterly playbook reviews run as recurring AI works, update summaries land in the Monday huddle notes, and every review sits on the audit record.

Upload the new checklist, set it on top: from that moment every answer and every AI work cites the new version. Old versions stay archived for reference.
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