Actual AI is an engineering management platform designed for agentic and AI-powered software development teams. It provides guardrails, context engineering, and automated coordination and reporting to help managers scale oversight and reduce manual management overhead.

Key Features:

• Guardrails for AI agents and architectural decision enforcement.
• Codebase context engineering, including ADR suggestions and context file insertions.
• Automated architectural review.
• Automated triage, sprint summaries, meeting agendas, and progress reporting.
• Routing code reviews to appropriate experts and coordinating agents.
• Deployment options: SOC2 Type II compliant SaaS or VPC deployments on AWS, GCP, Azure.

Use Cases:

• VPs of engineering and engineering managers seeking visibility and velocity measurement.
• Teams utilizing AI agents or AI-assisted developers requiring consistent architecture and governance.
• Organizations needing automated triage, sprint reporting, and code review routing to scale oversight.

Benefits:

• Reduced management overhead and reclaimed manager hours.
• More consistent architectural decisions and improved codebase health.
• Scalable oversight, enabling orchestration of many agents and developers.
• Faster delivery and increased velocity through context enforcement and guardrails.