Capacity vs Decagon
A detailed side-by-side comparison to help you choose the right AI customer support agent for your needs.
Best for AI-powered support automation across internal and external teams
Capacity
Capacity is an AI-powered support automation platform that serves both customer-facing and employee-facing support use cases, making it unique among AI support tools. The platform combines an intellig...
AI Models
Proprietary Capacity AIGPT-4Custom NLP models
Key Features
- Unified platform for customer support and internal employee helpdesk
- Intelligent knowledge base with continuous AI learning
- Workflow automations triggered by conversation outcomes
- Seamless human escalation with full context transfer
- No-code integration builder for 1000+ enterprise systems
Pricing
Growth — $49/month
Professional — $149/month
Enterprise — Custom pricing
Pros
- Handles both customer-facing and employee IT/HR support in one platform
- Knowledge gap detection keeps the knowledge base continuously accurate
- No-code integration builder enables live data retrieval without engineering
Cons
- Breadth of use cases means depth in any single area can trail specialized tools
- Knowledge base requires ongoing maintenance to remain accurate
Best for enterprise AI agents handling complex, multi-system support workflows
Decagon
Decagon builds enterprise AI agents designed specifically for complex customer support workflows where resolving a single ticket may require interacting with multiple backend systems, applying nuanced...
AI Models
GPT-4oClaudeProprietary fine-tuned enterprise models
Key Features
- Complex multi-system workflow execution across CRMs, billing, and databases
- Full support history training including edge cases and escalations
- Policy engine for encoding business rules without engineering resources
- Full conversation lifecycle handling from inquiry to resolution confirmation
- Human benchmark comparison on accuracy and satisfaction metrics
Pricing
Enterprise — Custom pricing
Pros
- Handles genuinely complex enterprise workflows that simpler tools cannot
- Policy engine lets operations teams configure agent behavior without engineers
- Human benchmark reporting provides honest performance transparency
Cons
- Enterprise-only positioning excludes smaller companies
- Deep integration setup requires meaningful implementation investment