Overview
AI Agents are a core component of the SEOP platform. They are automated processes that run within defined boundaries to perform specific engineering tasks — eliminating manual overhead, accelerating delivery, and surfacing insights that human teams alone would miss.
AI Agents are not autonomous systems. They operate within governance controls that you define, and all activity is logged and auditable.
Available AI Agents
QA Agent
Automates regression testing, identifies edge cases, and generates test reports. Reduces manual QA workload by 60–80% on well-instrumented codebases.
Delivery Analytics Agent
Monitors sprint data in real time, flags risks, and generates delivery performance reports. Surfaces bottlenecks before they cause delays.
Code Review Agent
Reviews pull requests for code quality, security vulnerabilities, and standards compliance. Provides structured feedback that helps engineers improve over time.
Documentation Agent
Generates and maintains technical documentation — API docs, architecture overviews, and sprint summaries — automatically from code and delivery data.
AI Agent Gateway
The orchestration layer for deploying custom AI agents into your engineering pipelines. Integrates with Jira, GitHub, Azure DevOps, and other tools. Governed, auditable, and enterprise-ready.
Availability by Plan
| AI Capability | Standard | Recommended | Enterprise |
|---|
| Delivery Analytics Agent | Basic | Full | Full + Custom |
| QA Agent | — | ✓ | ✓ |
| Code Review Agent | — | ✓ | ✓ |
| Documentation Agent | — | ✓ | ✓ |
| AI Agent Gateway | — | ✓ | ✓ + Custom |
For full details on controls and boundaries, see AI Usage Boundaries & Controls.Last modified on March 12, 2026