Crella Engine: 12-Agent BPO System

The Crella Engine is our proprietary BPO automation system powered by 12 specialized AI agents. Each agent handles a specific function in the workflow, coordinated by Lima, the Orchestrator.

The 12 Agents

Codename	Name	Role	Status
ALPHA001	Alpha	Intake Agent	Online
BRAVO001	Bravo	Triage Agent	Online
CHARLIE001	Charlie	Document Agent	Online
DELTA001	Delta	Decision Agent	Online
ECHO001	Echo	Enrichment Agent	Online
FOXTROT001	Foxtrot	Content Agent	Online
GOLF001	Golf	Video Agent	Standby
HOTEL001	Hotel	Communication Agent	Online
INDIA001	India	Escalation Agent	Online
JULIET001	Juliet	Reporting Agent	Online
KILO001	Kilo	Learning Agent	Online
LIMA001	Lima	Orchestrator	Online

System Architecture

flowchart TB
    subgraph intake [Intake Layer]
        Alpha[Alpha - Intake]
        Bravo[Bravo - Triage]
    end
    
    subgraph processing [Processing Layer]
        Charlie[Charlie - Document]
        Delta[Delta - Decision]
        Echo[Echo - Enrichment]
    end
    
    subgraph output [Output Layer]
        Foxtrot[Foxtrot - Content]
        Golf[Golf - Video]
        Hotel[Hotel - Communication]
    end
    
    subgraph support [Support Layer]
        India[India - Escalation]
        Juliet[Juliet - Reporting]
        Kilo[Kilo - Learning]
    end
    
    Lima[Lima - Orchestrator]
    
    Alpha --> Bravo
    Bravo --> Charlie
    Bravo --> Delta
    Charlie --> Delta
    Delta --> Echo
    Echo --> Foxtrot
    Echo --> Golf
    Foxtrot --> Hotel
    Golf --> Hotel
    Hotel --> India
    India --> Juliet
    Juliet --> Kilo
    
    Lima -.->|coordinates| Alpha
    Lima -.->|coordinates| Bravo
    Lima -.->|coordinates| Charlie
    Lima -.->|coordinates| Delta
    Lima -.->|coordinates| Echo
    Lima -.->|coordinates| Foxtrot
    Lima -.->|coordinates| Golf
    Lima -.->|coordinates| Hotel
    Lima -.->|coordinates| India
    Lima -.->|coordinates| Juliet
    Lima -.->|coordinates| Kilo

Agent Layers

1. Intake Layer

The front door of the system. Validates and routes incoming work.

• Alpha — First contact, validates and normalizes data
• Bravo — Routes work to the appropriate pipeline

2. Processing Layer

Core data processing and decision-making.

• Charlie — Extracts data from documents (OCR, AI)
• Delta — Makes decisions based on rules and guidelines
• Echo — Enriches data from external sources

3. Output Layer

Generates and delivers content.

• Foxtrot — Writes emails, content, personalized messages
• Golf — Creates personalized video content
• Hotel — Sends communications across channels

4. Support Layer

Handles exceptions and continuous improvement.

• India — Routes escalations to humans
• Juliet — Generates reports and analytics
• Kilo — Learns from outcomes, optimizes performance

5. Orchestration

• Lima — The maestro, coordinates all agents

Platform Stats

12

Active Agents

17K+

Tasks Processed

96%

Avg Success Rate

$88

Total Cost (All Time)

Active Missions

The Crella Engine currently serves two primary clients:

MoneyMatcher

• Loan intake and validation
• Document analysis
• DSCR underwriting support
• Pipeline reporting

Sequoia EHMP

• Lead validation and research
• Decision-maker enrichment
• Outreach email generation
• Broker analytics

Cost Structure

Agent	Cost Per Task	Use Case
Alpha	$0.002	Data validation
Bravo	$0.003	Routing decisions
Charlie	$0.010	Document OCR
Delta	$0.020	Underwriting
Echo	$0.015	Research
Foxtrot	$0.008	Email writing
Golf	$0.100	Video generation
Hotel	$0.005	Message delivery
India	$0.005	Escalation
Juliet	$0.010	Reports
Kilo	$0.020	ML optimization
Lima	$0.001	Orchestration

Next Steps

• Agent Architecture — Technical deep dive
• Training System — 90-session program
• Individual Agents — Meet each agent