a24z

a24z is the dedicated AI Engineering Ops Platform designed to be the central command center for your AI-powered development workflow. It solves the critical challenge of visibility, control, and governance by providing comprehensive monitoring and optimization tools for engineering teams utilizing AI coding agents. If you are shipping software with assistance from agents like Claude Code, Codex, or Gemini CLI, a24z provides the essential operational layer needed to scale securely and efficiently.

Key Features

a24z delivers everything modern engineering teams require to confidently operate AI at scale, ensuring performance, compliance, and deep workflow understanding.

• ✨ Agent Observability: Gain full, real-time visibility into every AI coding session. Track agent behavior, monitor token usage, log specific tool calls, and analyze session outcomes. This functionality allows you to move beyond simple usage metrics, giving you the context needed to understand agent effectiveness and manage costs precisely.
• 🛡️ Security & Governance Enforcement: Automatically mitigate risks inherent in AI-assisted coding. a24z provides automated scanning for sensitive data, including PII (Personally Identifiable Information) and exposed secrets, preventing accidental leakage into agent prompts or outputs. You can enforce organizational policies across all AI interactions, ensuring compliance by design.
• 📊 Performance Analytics & Prompt Optimization: Move past guesswork to understand how AI agents are truly performing across your codebase. The platform identifies specific performance patterns, allowing engineering leaders to pinpoint bottlenecks, refine agent interactions, and optimize prompts for maximum efficiency and superior code quality.
• 🔍 Session Replay for Debugging: Debugging AI-generated code and understanding agent failures is often challenging. a24z captures and replays any AI coding session with full context, allowing developers to see exactly what input was provided, what the agent returned, and the sequence of events leading to the outcome, dramatically accelerating root cause analysis.

Use Cases

Engineering teams leverage a24z to transform opaque AI usage into a managed, measurable, and secure part of the development lifecycle.

1. Cost Control and Efficiency Audits

By utilizing detailed Token Analytics and Performance Analytics, engineering managers can identify which teams or agents are incurring the highest costs and why. For example, if a specific agent setup consistently requires 2x the tokens for a task compared to another, a24z provides the data necessary to optimize the less efficient prompt, reducing cloud expenditures and improving resource allocation immediately.

2. Proactive Data Leak Prevention

Before an AI agent executes a suggestion or receives input, a24z’s Security & Governance feature scans the interaction. If a developer accidentally includes a sensitive API key or customer data snippet in a prompt, the system automatically flags or blocks the interaction based on pre-set policies. This ensures that proprietary or regulated information never leaves the secure development environment via the AI agent pathway.

3. Rapid Incident Review and Code Quality Improvement

When a bug appears in production traced back to AI-assisted code, the team uses Session Replay to review the exact moment the code was generated. Instead of relying on vague descriptions, the team can review the agent's interaction, the surrounding code context, and the tool calls made, speeding up the fix process and informing future agent training or prompt engineering practices.

Why Choose a24z?

a24z is built by engineering teams who understand the operational demands of scaling AI, offering unique advantages over managing agents individually.

• Zero-Configuration, Zero Overhead: Get up and running in minutes with a single CLI command (npm install -g a24z && a24z init). The platform automatically detects existing agents (including Claude Code, Codex, and Gemini CLI) without requiring any code changes. Furthermore, a24z maintains an extremely low latency overhead of less than 5ms, ensuring monitoring doesn't slow down your rapid development cycles.
• Unified Multi-Agent Support: Unlike siloed solutions, a24z serves as a single pane of glass for all major AI coding agents. This centralized approach simplifies monitoring, allows for consistent policy enforcement across diverse agent usage, and provides holistic workflow insights, regardless of the underlying model.
• Built-in Governance and Audit Trails: The platform provides the necessary tools—from security scanning to detailed session tracking and replay—to meet organizational compliance requirements. This depth of data retention and access control is essential for engineering teams operating in regulated industries (as demonstrated by early adoption by health organizations like UCSF and Teladoc Health).

Conclusion

a24z delivers the essential visibility, control, and security layer required for engineering teams to confidently integrate and scale AI coding agents. By transforming AI usage into a measurable and optimized process, you can accelerate development, reduce operational risk, and ship high-quality code faster.