Fair, Clear Moderation Notices at Scale

AI drafts specific violation notices with evidence and appeal instructions. Your trust & safety team reviews every notice before delivery.

The problem

Why this matters

Vague moderation notices frustrate users and generate support tickets. When users only see "your content was removed" without specifics, they appeal everything — creating more work. Writing specific, fair notices for each violation type is time-consuming, and inconsistent language across moderators creates legal risk.

The solution

How MultiMail solves this

MultiMail's AI agent drafts moderation notices that cite the specific policy section violated, describe the content that triggered the action, and include clear appeal instructions. With gated_send oversight, your trust & safety team reviews every notice for accuracy and fairness before delivery.

1

Receive Moderation Action

When your platform flags or removes content, the event triggers MultiMail's AI agent. The agent receives the violation type, evidence, and user details.

2

Draft Specific Notice

The AI composes a notice citing the exact policy section, describing what was flagged, and explaining the action taken. It includes appeal instructions and timeline based on the violation severity.

3

Trust & Safety Reviews

With gated_send, every moderation notice is reviewed by your trust & safety team before delivery. They verify the violation citation is accurate and the tone is professional.

4

Send and Track Appeals

Approved notices are sent. The agent monitors replies for appeal requests and routes them to the appropriate review queue using set_tags.

Try it

Try it with your agent

Pick your platform, copy the prompt, and paste it to your AI agent — it sets up MultiMail and builds the whole flow. Nothing to fill in.

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. In Discord, use a bot with the Auto Moderation Rule Execution gateway event and relevant audit log access to detect removed messages, timeouts, bans, or other moderator actions. 3. For each action, identify the user, the rule or policy section involved, the content summary that triggered the action, the enforcement action taken, and the appeal path your community uses. 4. Draft a concise moderation notice that names the specific policy, explains the issue in neutral language, avoids unnecessary quoted harmful content, and gives clear appeal instructions. 5. Run every notice in MultiMail gated_send mode so trust and safety reviews it before delivery; ask me only for Discord credentials, member email mapping access, policy text, sender domain approval, and brand voice to go live.
Benefits

What you get

Reduced Appeal Volume

Specific, well-written notices that explain exactly what was violated and why reduce frivolous appeals by giving users clear information upfront.

Consistent Policy Language

AI drafts from approved policy templates ensuring every notice uses consistent language, reducing legal risk from inconsistent moderation communication.

Fair and Transparent

Every notice includes specific evidence, the exact policy section, and clear appeal instructions — meeting regulatory requirements like the Digital Services Act.

Human Oversight on Every Notice

Trust & safety reviews every moderation notice before delivery, catching edge cases where the AI might apply the wrong policy or mischaracterize the violation.

Oversight

Recommended oversight mode

Recommended
gated_send
Moderation notices have legal implications and directly impact user relationships. Gated send ensures trust & safety verifies that the correct policy is cited and the notice is fair before the user receives it.
FAQ

Common questions

How does the AI know which policy section to cite?
Your moderation system classifies the violation type. The AI maps that classification to your policy documentation and drafts the notice with the correct section reference. You provide the policy taxonomy — MultiMail handles composing and delivering the notice.
Can I handle different violation severities differently?
Yes. Configure different notice templates and appeal windows based on severity. First-time spam violations might get a warning with a 14-day appeal window, while harassment violations might result in immediate suspension with a different appeal process.
How are appeals tracked?
When users reply to moderation notices, the AI detects it's a reply to a moderation thread, tags it as an appeal, and routes it to your review queue. Thread tracking maintains the full context of the original violation and all subsequent communications.
Does this help with DSA compliance?
MultiMail provides the communication infrastructure and audit trail. The Digital Services Act requires clear, specific moderation notices with appeal mechanisms — the AI drafts notices meeting these requirements while your legal team reviews for compliance.
Related

Explore more use cases

Compliance Notifications

legal

View guide →

Account Verification Emails

notifications

View guide →
Get started

The only agent email with a verifiable sender

Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a hosted MCP server. Formally verified in Lean 4.

Read the Docs →See Pricing