Comprehensive assessment of your AI agent implementation
A thorough evaluation of your existing AI agent systems, identifying performance bottlenecks, reliability issues, and optimization opportunities.
Your AI agents are deployed, but are they performing at their full potential? Our Agent System Audit provides a comprehensive assessment of your current implementation, uncovering hidden issues before they become costly problems.
We examine every layer of your agent architecture—from prompt engineering and model selection to error handling and fallback strategies. Our audit methodology draws from battle-tested patterns used in enterprise-scale deployments, identifying both quick wins and strategic improvements.
The result is a prioritized action plan with clear ROI projections, giving your team a roadmap to agent excellence.
Audit Report
Comprehensive 30-50 page report with findings, risk assessments, and recommendations
Priority Matrix
Ranked list of improvements by impact and effort, with ROI projections
Architecture Diagrams
Updated system diagrams reflecting current state and recommended target state
Executive Summary
Board-ready presentation of key findings and strategic recommendations
Prompt Engineering Review
Analyze prompt structures, system messages, and instruction clarity for optimal model performance
Tool Integration Assessment
Evaluate tool definitions, parameter schemas, and execution patterns for reliability
Error Handling Analysis
Review fallback strategies, retry logic, and graceful degradation mechanisms
Performance Benchmarking
Measure latency, token efficiency, and success rates against industry standards
Security & Safety Review
Assess prompt injection defenses, output validation, and data handling practices
Cost Optimization Scan
Identify opportunities to reduce API costs while maintaining quality
Enterprises with Production Agents
Organizations running AI agents in production seeking to improve reliability and performance
Pre-Scale Assessment
Teams planning to significantly increase agent usage or complexity
Post-Incident Review
Organizations that have experienced agent failures and want to prevent recurrence
Design robust multi-agent architectures that scale with your business, featuring clear separation of concerns, efficient communication patterns, and built-in resilience.
Implement comprehensive observability for your AI agents—tracing, monitoring, alerting, and debugging tools that give you full visibility into agent behavior in production.
Share your situation and AI Agent Automations will scope it with you — takes about two minutes.