AOPs
Agent Operating Procedures (AOPs) combine the flexibility of natural language with the reliability of code to define, iterate, and scale AI agent workflows, enabling CX teams to build and refine AI logic without engineering bottlenecks.
What it does
Agent Operating Procedures (AOPs) combine the flexibility of natural language with the reliability of code to define, iterate, and scale AI agent workflows, enabling CX teams to build and refine AI logic without engineering bottlenecks.
- Customer service automation
- AI agent building and lifecycle management
- Omnichannel customer support
- Category
- Customer support agents
- Users
- Enterprises
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
Pricing isn't published
Decagon doesn't list prices publicly. Ask them for a quote.
Security and compliance
As reported by Decagon. Ask for audit reports before you buy.
- AES-256 encryption at rest
- TLS 1.2+ encryption in transit
- Secure key management with access controls, expiration policies, and rotation schedules
- Zero-day retention with LLM providers (OpenAI, Anthropic)
- PII redaction via Google DLP
- Bad actor detection
- Supervisor model for hallucination detection
- Tamper-protected audit logs
- Role-Based Access Control (RBAC)
- Single Sign-On (SSO) via Okta and Microsoft Entra
- Just-in-time API tokens (short-lived JWT, scoped, discarded after session)
- Voice authentication
- Multi-region infrastructure with model redundancy
- Platform uptime SLAs
- Autoscaling and auto-failover
- Ongoing health checks
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