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About This Automation
Review and referral requests arrive across multiple channels and require manual triage, priority assessment, and assignment. Without automation, coordinators spend hours scanning emails and chat, duplicating effort, and losing track of request status.
Automation captures incoming requests, classifies them by type and priority, detects duplicates, and routes them to the right team member with complete context. Requests move from scattered channels into a single tracked system within minutes.
Key features:
Capture review and referral requests from email and chat in one place
Classify request type and priority automatically based on sender and content
Detect duplicate requests and link them to existing contacts
Route requests to the correct team member with full context
Track request status and progress in a central system
Send notifications to assignees with structured request details
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual priority assessment
Coordinator must read each request and subjectively determine urgency and importance based on sender and content.
80%
2
Duplicate request detection
No systematic way to identify if a sender or company has submitted a request before, leading to wasted effort.
67%
3
Multi-channel monitoring
Requests arrive via email and Slack, requiring constant manual scanning across multiple tools.
53%
4
Scattered status tracking
Request progress is tracked across email, chat, and spreadsheet with no single source of truth.
40%
5
Informal assignment decisions
Team member selection is based on memory and informal knowledge rather than documented criteria.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual triage across multiple channels creates bottlenecks, duplicates, and.
9.4/ 10
AI Fit Rating™Request classification, duplicate detection, and routing are rule-based tasks.
8.6/ 10
Automation Lift Index™Automation eliminates manual scanning, reduces triage time by 95%, and.
8.2/ 10
Hidden Overhead™Context switching between email, chat, and spreadsheet creates cognitive load.
7.1/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. New Request Receivedtrigger
A new email arrives in the marketing inbox, a form submission is captured, or a message is flagged as a request. The automation platform detects the trigger and extracts the sender, subject, and body.
2. Extract and Classify Request
The automation reads the request text, identifies the request type (review, referral, partnership, etc.), sender details, and any urgency signals. the automation outputs a structured record with type, priority, and key metadata.
3. Check for Duplicates
The automation queries to search for existing contacts or deals matching the sender email or company name. If a match is found, the automation links the new request to the existing record.
4. Apply Routing Rules
Based on request type and priority, the automation applies pre-configured routing rules to determine the assigned owner. Rules are stored and can be updated without code changes.
5. Create Request Record
The automation creates a new deal or task with all extracted details, linked to the sender contact, and assigned to the determined owner.
6. Notify Assignee
The automation sends a message to the assigned team member with a summary of the request, a link, and any urgent flags.
7. Log Request to Tracking Sheet
The automation appends a row to a Google Sheet with request ID, sender, type, priority, assigned owner, and timestamp for audit and reporting.
Everything you need to know before mapping this process.
The system captures and classifies product reviews, case study referrals, partnership inquiries, and other inbound requests from customers and partners. It works with any request that arrives via email or chat.