/brand-moderator/action-historyAction History
The auditable log of every moderation action, which reply was approved or rejected, by which moderator, when, and what the AI originally drafted. This is the accountability and compliance trail enterprise and BFSI clients require before they'll let any AI near their social channels.
What this does for you: A complete, auditable record of everything the moderation team and the agent did. Every approved reply, every rejection, every escalation, with the moderator, the timestamp, and the original AI draft. It's the receipt that proves the human-approval guardrail was actually followed.
What's on the screen:
- A chronological log of response events: item, channel, AI draft, final sent reply, action (approved / rejected / escalated), moderator, and time
- Escalation records, which items became CRM tickets and when
- Filters by moderator, channel, action type, and date
Why it matters: "Prove no AI reply went out without a human" is a hard requirement for regulated and reputation-sensitive brands. Action History is that proof. It's also management insight, response volumes, approval-vs-edit rates, and where the queue backs up, and it feeds the daily/weekly ORM reports clients like Bata hold us to.
When to come here: During a compliance or client audit. In a weekly ORM review, to report throughput and SLA adherence. When investigating a specific reply that went out.
The click-path, step by step
1Action stats 
2Filter action history 
- Agent PlaybookThe brand-voice foundation the moderation agent drafts from, tone, canonical response templates, do/don't language, and version history. When a reply gets rejected, the fix goes here, and every future draft improves. This is what keeps replies consistent across thousands of comments and multiple moderators.
- AI ResearcherA conversational research agent that runs structured investigations across 30+ external sources on demand. Instead of briefing an agency for a competitive deep-dive or a brand-health read. You pick a template, ask, and get back a deep, sourced answer in minutes, structured as metric cards, channel breakdowns, tables, insights, and citations.
- Review QueueThe single inbox for everything said about your brand, comments, DMs, and reviews across Facebook, Instagram, Twitter, and LinkedIn. Zocket drafts a reply for each one grounded in your Agent Playbook, and a human approves and sends. The non-negotiable guardrail: nothing is ever auto-posted, every reply passes through an approval confirm before it goes live.
- Rules EngineConditional routing logic for the moderation queue. Define what happens to each kind of message, which categories can be auto-drafted, which must be escalated to a ticket, which must never be answered without a human. This is how a client's escalation matrix becomes enforced behaviour instead of a doc nobody reads.