Actual AI
Guardrails for AI-powered software teams
What is Actual AI? Complete Overview
Actual AI is a cutting-edge platform designed to enhance the productivity and management of AI-powered software development teams. It addresses the growing challenges of managing AI-generated code, ensuring consistency, and maintaining architectural integrity across projects. The platform is tailored for engineering managers and teams looking to scale their operations with AI while maintaining high standards of code quality and team coordination. Actual AI provides automated workflows, enterprise-ready controls, and comprehensive visibility into codebase health, making it an essential tool for modern software development environments.
Actual AI Interface & Screenshots
Actual AI Official screenshot of the tool interface
What Can Actual AI Do? Key Features
Guardrails & Visibility
Actual AI enforces consistent architectural decisions across all codebases, tracks repository health, and provides insights into the business impact of every change. This ensures that all team members adhere to best practices and maintain high-quality standards.
Automated Workflows
The platform automates critical management tasks such as triaging issues, routing code reviews to the right experts, and generating sprint progress reports. This saves engineering managers over 15 hours per week, allowing them to focus on strategic initiatives.
Enterprise-Ready Control
Actual AI can be deployed via SOC2 Type 2 compliant SaaS or within your own VPC on AWS, GCP, or Azure. This ensures that your data remains within your security boundaries while benefiting from the platform's advanced features.
Architectural Decision Management
The platform suggests Architectural Decision Records (ADRs) and manages context files (e.g., claude.md, agent.md) to ensure consistent architectural decisions across all teams. This feature is particularly valuable for maintaining long-term codebase health.
Autonomous Coordination & Reporting
Actual AI autonomously prepares sprint-end summaries, assembles meeting agendas, and triages issues, significantly reducing the administrative burden on engineering managers and improving team coordination.
Best Actual AI Use Cases & Applications
Managing AI-Generated Code
Engineering teams using AI to generate code can rely on Actual AI to enforce consistent architectural decisions and maintain code quality, ensuring that AI-generated code meets the same standards as human-written code.
Scaling Team Coordination
For teams scaling rapidly with AI agents, Actual AI provides automated workflows to triage issues and route code reviews, enabling a single manager to oversee hundreds of agents and developers efficiently.
Enterprise Compliance
Enterprises with strict compliance requirements can deploy Actual AI within their own VPC, ensuring data security while benefiting from advanced code management and reporting features.
How to Use Actual AI: Step-by-Step Guide
Book a demo or sign up for an account on the Actual AI website to get started with the platform.
Deploy Actual AI either as a SaaS solution or within your own VPC, depending on your enterprise needs and security requirements.
Integrate Actual AI with your existing code repositories and development tools to begin monitoring and managing your codebase.
Configure the platform's guardrails and workflows to align with your team's development practices and architectural standards.
Monitor insights and reports generated by Actual AI to track repository health, sprint progress, and team performance.
Leverage automated workflows to triage issues, route code reviews, and generate meeting agendas, freeing up time for strategic tasks.
Actual AI Pros and Cons: Honest Review
Pros
Considerations
Is Actual AI Worth It? FAQ & Reviews
Actual AI uses a GitHub seats model, charging $25/month per developer for the Team plan. The Enterprise plan offers custom pricing with additional features like in-VPC deployment and dedicated support.
Actual AI is SOC2 Type 2 compliant and can be deployed within your own VPC on AWS, GCP, or Azure, ensuring that your data remains within your security boundaries.
The Team plan includes phone and email support, while the Enterprise plan offers a dedicated Customer Success Manager (CSM) for personalized assistance.
Yes, Actual AI integrates with your existing code repositories and development tools to provide seamless monitoring and management of your codebase.
Onboarding with Actual AI is designed to be quick and easy, with the platform ready to use in less than five minutes after deployment.