AI Spam Filtering for Helpdesk
Automatically filter spam and irrelevant inbound messages before they reach your support team.
Overview
Managing spam and irrelevant conversations can slow down support teams and impact service metrics.
With AI Spam Filtering for Helpdesk, inbound spam messages are automatically detected and separated from genuine customer conversations.
Spam messages are identified using a combination of AI detection and merchant-defined rules. When detected, they are automatically marked as spam and moved to a dedicated Spam view—without triggering agent workflows or unnecessary responses.
This helps teams maintain cleaner queues, faster response handling, and more accurate support reporting.
How It Works?
AI Spam Filtering evaluates only the inbound message received from a customer before running assignment block and assigning to agent.
If the message is identified as spam:
A ticket is created if not already created.
The ticket is immediately closed and marked as spam
No automated or agent reply is sent
The ticket appears only in the Spam view
Support workflows and queues remain unaffected
This ensures spam stays visible for review while keeping agent workspaces focused on real customer requests.
Spam check will run before running the assignment block. So ticket is marked as spam when ever spam condition matches before assigning to agent.
Supported Channels
AI Spam Filtering currently supports inbound messages from:
WhatsApp
Instagram [DM only]
Email
Not Supported
The following channels are not supported in this release:
Messenger
Live Chat
Key Benefits
Cleaner Helpdesk Operations
Prevent spam and irrelevant messages from cluttering support queues.
Improved Agent Productivity
Agents spend time on genuine customer issues instead of filtering noise manually.
Better SLA & Support Metrics
Spam conversations are excluded from operational reporting, helping improve:
First Response Time (FRT)
SLA accuracy
Queue reporting and performance visibility
Enterprise-Level Control
Merchants maintain full control over how spam is classified and filtered.
Full Transparency
Spam conversations are never deleted and can be reviewed or recovered whenever needed.
Common Use Cases
1. Filtering Promotional or Marketing Noise
Automatically identify and filter:
Promotional broadcasts
Marketing messages from other brands
System-generated notifications
Non-customer outreach
2. Blocking Irrelevant Customer Messages
Reduce distractions caused by:
Greetings with no support intent
Wrong-number messages
Abusive or offensive content
Non-support-related conversations
Spam Configuration Options
Merchants can configure spam filtering based on their business needs in this route
Configure spam type by filling the below fields in Spam Settings
Sample Messages are added to identify the spam and Non-spam Messages.
You can configure Spam filter for each channel individually.
Channel-Specific Rules
Apply different spam rules across supported channels.
For example:
Stricter filtering for Email
Custom spam logic for WhatsApp
Different handling rules for Instagram
Test Spam Filter
Select the Channel and Enter the test message to check if the message is marked as spam or non-spam message based on the configurations you set.
Recovering Spam Tickets
Spam tickets remain fully accessible.
If a conversation was incorrectly marked as spam, agents can recover it by:
Opening the Spam view
Open the ticket
Mark the ticket as not spam
Once marked as not spam , the ticket should be assigned to agent.
Important Behavior & Limitations
Please note the following:
Spam Evaluation Scope
Spam detection evaluates only the inbound message received from a customer before running assignment block and assigning to agent.
Subsequent messages are not re-evaluated for spam classification.
Channel Availability
Currently supported:
WhatsApp
Instagram
Email
Not supported in this version:
Messenger
Live Chat
Frequently Asked Questions (FAQs)
1. What is AI Spam Filtering in Helpdesk?
AI Spam Filtering automatically detects and filters spam or irrelevant inbound messages before they reach support agents. Messages identified as spam are marked accordingly and moved to a dedicated Spam view.
2. How does spam detection work?
Spam detection uses a combination of:
AI-based classification
Merchant-defined spam rules
The system evaluates the inbound message received from a customer before running assignment block and assigning to agent and determines whether it should be treated as spam.
3. Which channels support AI Spam Filtering?
AI Spam Filtering currently supports:
WhatsApp
Instagram
Email
Messenger and Live Chat are not supported in this version.
4. Does spam filtering apply to outgoing messages?
No. Spam filtering applies only to inbound messages.
Outgoing messages and agent replies are not evaluated for spam.
5. When is spam detection triggered?
Spam logic is evaluated just before assignment block runs based on the last 5 messages .
6. What happens when a message is marked as spam?
If a message is identified as spam:
A ticket is created
The ticket is immediately closed and marked as spam
No reply is sent
No workflows or automations are triggered
The ticket appears only in the Spam view
7. Will spam messages affect SLA or First Response Time (FRT)?
No. Since spam tickets are automatically classified and excluded from regular support handling, they do not add unnecessary noise to SLA and FRT metrics.
8. Are spam tickets permanently deleted?
No. Spam tickets remain fully visible in the Spam view and are not deleted.
This ensures teams retain visibility and auditability.
9. Can agents recover a spam ticket?
Yes. If a valid customer conversation is incorrectly marked as spam, agents can recover it by Marking them as not Spam from the Spam view.
Once assigned, the ticket becomes available for normal support handling.
10. Can merchants configure spam rules?
Yes. Merchants can customize spam filtering through:
Up to 10 spam types
Channel-specific spam rules
This allows businesses to tailor filtering based on their support operations.
11. Will customers know their message was marked as spam?
No automatic response is sent when a message is marked as spam.
The ticket is silently classified and moved to the Spam view.
12. Can merchants create different spam rules for different channels?
Yes. Merchants can define channel-specific spam rules for supported channels such as WhatsApp, Instagram [DM ONLY], and Email.
13. What if AI incorrectly identifies a genuine message as spam?
Teams can review all spam-classified tickets in the Spam view and manually recover any incorrectly classified conversation by assigning the ticket.
This ensures complete control and transparency.
14. Does spam filtering stop ticket creation entirely?
No. A ticket is still created for traceability.
However, the ticket is immediately closed and marked as spam, preventing it from entering normal support workflows.
For further assistance or to raise feature requests related to AI Spam filter, please contact [email protected]




