Actual

Actual is an advanced AI tool specifically engineered to revolutionize software development by enabling agentic software teams with robust guardrails. It aims to multiply business value by optimizing AI-powered development workflows, rather than merely increasing code output. The platform addresses common challenges faced by engineering teams, such as an avalanche of code reviews, generic AI-review findings, inconsistent architectural decisions, and slow cross-team coordination due to rapid process changes.

How to use Actual

To use Actual, engineering managers and teams can integrate the platform into their existing development environment. Actual AI then acts on behalf of managers, triaging issues, automatically routing code reviews to the most suitable experts, and proactively surfacing sprint progress. It provides Architectural Decision Record (ADR) suggestions, inserts context files (e.g., claude.md, agent.md), and performs automated architectural reviews. Users can book a demo to get started and onboard in less than five minutes, leveraging its capabilities for autonomous coordination and reporting.

Core Features of Actual

• Guardrails & Visibility: Enforces consistent architectural decisions, tracks repository health, and provides business impact analysis for code changes.
• Automated Workflows: Triage issues, routes code reviews to experts, and surfaces sprint progress automatically.
• Enterprise-Ready Control: Deployable via SOC2 Type II compliant SaaS or within a customer's own VPC on AWS, GCP, or Azure.
• AI-Powered Engineering Management: Offers ADR suggestions, context file insertions, automated architectural review, and Architect MCP.
• Autonomous Coordination & Reporting: Automatically triages issues, prepares sprint-end summaries, and assembles meeting agendas, saving over 15 hours per manager weekly.
• Scalable Oversight: Facilitates routing code reviews to the right experts, identifies high-performing AI contributors, and allows a single manager to orchestrate hundreds of agents and developers.
• LLM-based Analysis: Utilizes an advanced LLM pipeline to analyze code contributions and development tickets for actionable insights.

Use Cases for Actual

Actual is ideal for engineering organizations looking to scale their AI-powered development efforts while maintaining high code quality and architectural consistency. It's perfect for teams struggling with managing large volumes of code reviews, ensuring adherence to architectural standards, or improving the efficiency of engineering managers. Companies can use Actual to accelerate project velocity, enhance cross-team coordination, and gain complete visibility over their software development process, ensuring AI-generated code aligns with design decisions and product goals.

Advantages of Actual

Actual offers significant advantages by transforming engineering management from reactive to proactive. It reclaims valuable time for managers through automation, ensures architectural integrity across diverse codebases, and provides deep insights into team performance and code health. Its enterprise-grade security and flexible deployment options (SaaS or in-VPC) make it suitable for organizations with stringent compliance requirements. By empowering managers to orchestrate hundreds of agents and developers, Actual enables a 10x increase in business value and team efficiency.

Pricing and Plans

Actual offers simple, transparent pricing based on a GitHub seats model, with automatic adjustments for lower usage. The Team plan costs $25/month/developer and includes analysis for the whole team across all repositories, automated progress reporting, velocity measurement, AI-Agent management, and phone & email support. The Enterprise plan offers custom pricing and includes all features of the Team plan, plus optional In-VPC Deployment, unlimited repository processing, SAML 2.0 Sync, and a dedicated Customer Success Manager (CSM).