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AI Evaluation and Agent Audit Logs (IN Time Zones)

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About this event

What to expect

This Product Club session tackles two fundamental questions in AI governance: How do you know if an AI agent is ready for production, and what exactly did it do once deployed? Rinku Sarkar, Director of Product Management at Automation Anywhere, will explore how AI Evaluation and Agent Audit Logs work together to provide complete oversight of AI agents from development through runtime.

What You'll Learn

AI Evaluation provides a unified framework with a simple UI interface for evaluating AI agents, skills, and models before they go live. Out-of-the-box, task-based evaluation metrics eliminate the guesswork for developers who don't have deep machine learning backgrounds, making it straightforward to assess, tune, and qualify agents before deployment. Rather than treating evaluation as a one-time checkpoint, this approach integrates into a continuous monitoring cycle, enabling teams to drive ongoing optimizations and ensure agents consistently meet performance targets.

Agent Audit Logs deliver complete, real-time traceability of agent activity, including execution sequence, tool calls, inputs, and outputs. As AI agents integrate with multiple enterprise systems and touch sensitive business data, auditability becomes a critical concern. These logs give Automation and GRC Admins full transparency into agent behaviour, making compliance reporting straightforward and transforming risk identification from a reactive scramble into a proactive process.

Key Takeaways

  • Continuous improvement cycles: Move beyond point-in-time evaluations and build feedback loops that keep AI agents performing optimally after every change
  • No ML expertise required: Out-of-the-box evaluation metrics enable pro-developers to qualify agents without needing data science backgrounds
  • Full traceability: Know exactly what your agents did, when they did it, and what data they touched, so you're always audit-ready
  • Simplified compliance: Agent Audit Logs make it easier to report on agent behaviour for regulatory and internal compliance requirements
  • Proactive risk management: Spot issues before they become incidents with real-time visibility into agent activities across enterprise systems

Who Should Attend

This session is designed for pro-developers deploying AI agents who need confidence before launch, and for admins responsible for keeping automation environments secure and compliant. W

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