Lead Scorer
Scores and routes marketing leads
Orchestrator Agent
Lead Scoring for Marketing
Marketinglow Risk
Complexity 2/5
Score leads with behavioral data, route qualified leads to sales
Marketing struggles to identify qualified leads, sending unqualified prospects to sales causing friction. This agentic workflow scores inbound leads using behavioral data, website engagement, content consumption, and firmographic fit. High-scoring leads are automatically routed to sales with all context.
6-10x
Typical ROI
2-3 weeks
Time to Value
Marketing
Department
Complexity
Agent Architecture
Agent Architecture
Sequential agents score and route leads.
Data Gatherer
Gathers behavioral and firmographic data
- •Collect behavior
- •Gather firmographics
- •Assess intent
Data Gatherer
Gathers behavioral and firmographic data
Scorer
Scores leads
- •Score engagement
- •Score fit
- •Calculate total
Scorer
Scores leads
Router
Routes qualified leads to sales
- •Identify qualified
- •Route to rep
- •Send context
Router
Routes qualified leads to sales
Simple Flow Architecture
Workflow Steps
1
Collect lead data
2
Score using behavioral signals
3
Assess company fit
4
Qualify leads
5
Route to sales
6
Track conversion
Required Dependencies
CRMSalesforce, HubSpot, Pipedrive
Marketing AutomationMarketo, HubSpot, Pardot, Unbounce
Key Performance Indicators
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Governance Controls
Centralized LoggingVisibility
HIGH
Centralized Logging
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Complexity: medium
Agent RegistryVisibility
HIGH
Agent Registry
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Complexity: low
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
Identified AI Risks
Hallucinations
Hallucinations
AI generating false or fabricated information presented as fact
Stale Information
Stale Information
AI using outdated data that no longer reflects current reality
Source Attribution
Source Attribution
Inability to verify or cite the original sources of AI-generated information
Recording Consent
Recording Consent
Lack of proper consent for recording, storing, or processing user interactions
Third-Party Data Processors
Third-Party Data Processors
Risks associated with external vendors processing sensitive data
These risks should be mitigated through proper governance controls and operational procedures.
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