It gives full visibility and control over AI agents by tracking performance, cost, execution, and compliance in real time.
Agent Governance
Full Visibility and Control Across AI Operations
Govern agents with structured visibility into performance, cost, audits, and traceability. Track token usage, latency, cost breakdowns, tool access, and execution timelines in real time. Designed for enterprise monitoring, compliance assurance, and continuous AI performance optimization.
Operational visibility in real time
Performance and Cost Monitoring
Governance dashboards provide complete visibility into token usage, model distribution, latency metrics, and total execution cost. Filter by time range to analyze trends and optimize spending.
- Token usage and cost trend analysis with graphical insights
- Model-based cost breakdown including input and output tokens
- Latency distribution charts for performance monitoring
- Aggregated metrics such as total traces, observations, and average latency
Monitor tool access and actions
Audit Layer for Compliance
Maintain detailed logs of tool access, execution attempts, and system outcomes to support internal audits and regulatory compliance requirements.
- Tool access frequency tracking with timestamp visibility
- Success and failure logging for each execution attempt
- Time-based filtering for audit investigations
- Enterprise-grade monitoring and reporting support
Step-level transparency
Full Traceability and Execution Replay
Replay complete execution timelines to analyze which steps were triggered and when. Drill into sub-steps to evaluate latency, token usage, and cost impact across the workflow lifecycle.
- Interactive execution replay timeline view
- Latency per step and per sub-step visibility
- Token usage and cost attribution per action
- Complete trace history tracking for accountability
Agent Governance
Key Features of Agent Governance
Discover what makes this AI Governance Platform powerful
Performance and cost dashboards
Monitor token usage trends, cost analytics, model distribution, and latency metrics from centralized dashboards.
Detailed cost analysis
Break down input and output tokens with per-model cost allocation and time-based filtering.
Tool access audits
Track tool usage frequency, access timestamps, and execution success or failure status for compliance.
Execution replay and traceability
Replay workflows step by step with latency, token usage, and sub-step visibility.
FAQs
Frequently Asked Questions
Everything you need to know about TheNoah.ai and how it can transform your enterprise AI journey.
Yes, you can monitor token usage, model costs, and latency metrics through real-time governance dashboards.
Yes, it logs tool access, execution attempts, and outcomes for enterprise-grade audit and compliance needs.
Yes, you can replay full execution timelines step by step with detailed traceability and cost breakdowns.
You can track latency, token consumption, model distribution, and overall execution performance.
Yes, it is designed for enterprise-scale monitoring, governance, and continuous AI optimization.
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