Production-ready
Admissions Intent Detection Agent
Applies admissions-specific intent thresholds to visitor IntentScores and updates the recommended_next_action on AdmissionsMemory. Maps score ranges to actionable recommendations for Maya and sales teams.
Admissions department for Colaberry Enterprise agents
Built by Colaberry
About the Agent
What this agent does, the challenges it addresses, and where it delivers value.
Applies admissions-specific intent thresholds to visitor IntentScores and updates the recommended_next_action on AdmissionsMemory. Maps score ranges to actionable recommendations for Maya and sales teams.
Challenges This Agent Addresses
- 1**Admissions**: Maya receives real-time guidance on conversation approach
- 2**Sales**: Counselors see prioritized action recommendations
- 3**Analytics**: Track intent distribution across the visitor pipeline
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
Step 1
Queries IntentScore records above the exploring threshold (score >= 20)
Step 2
For each visitor with an AdmissionsMemory record, maps the score to a recommendation:
Step 3
Score >= 80: Offer direct enrollment assistance
Step 4
Score >= 60: Suggest booking a strategy call
Step 5
Score >= 40: Share relevant case studies or ROI data
Step 6
Score >= 20: Provide educational content
Step 7
Updates recommended_next_action only when it changes
Execution Modes
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- IntentScore records with score >= 20 (exploring threshold)
Deliverables
- Updated recommended_next_action on AdmissionsMemory for each visitor
Core Tasks
- Admissions Operations
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
Agent Specs
Technical specifications, requirements, and deployment details.
Related Agents
Other agents in the same department or industry.
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