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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...
What is 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.
Product typeCustomer Support Agents
Pricing · Usage Based, Per Seat
Deployment
APINot available
What teams use AOPs for
Customer service automation
AI agent building and lifecycle management
Omnichannel customer support
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
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
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
