Enterprise AI Analysis
Process-Centric Analysis of Agentic Software Systems
This paper introduces GRAPHECTORY and LANGUTORY for process-centric analysis of agentic software systems, moving beyond outcome-centric evaluation. It analyzes 4000 trajectories of SWE-agent and OpenHands with various LLMs, revealing inefficiencies, strategy variations with task difficulty, and the benefits of online monitoring and intervention, which improved resolution rates by 6.9%-23.5% and shortened trajectories with minimal overhead.
Executive Impact at a Glance
Key performance indicators demonstrating the power of process-centric AI analysis.
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Resolution Rate Increase with Intervention
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Agent Trajectories Analyzed
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Oscillatory Behavior Reduction
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Minimal Intervention Overhead
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The GRAPHECTORY & LANGUTORY Framework
GRAPHECTORY and LANGUTORY enable systematic characterization and quantitative comparison of trajectories, supporting process-centric analyses like Phase Flow Analysis and Pattern Detection. This moves beyond outcome-centric evaluation to understand how agents solve problems and their inefficiencies.
By analyzing the temporal and semantic relations in agentic workflows, the framework allows for a deep understanding of problem-solving strategies, identifying inefficiencies and areas for improvement that outcome-centric evaluations often miss.
Quantifying Agent Performance
Six process-centric metrics (Node Count, Temporal Edge Count, Loop Count, Average Loop Length, Structural Edge Count, Structural Breadth) are defined to quantify agent effort and identify behavior patterns across different problems and LLMs.
These metrics provide a granular view of agent behavior, correlating with problem difficulty and LLM strength, and revealing how agents explore, plan, and execute tasks. They are crucial for identifying non-optimized strategies and areas of redundant effort.
Real-time Performance Enhancement
A novel approach for real-time construction and analysis of GRAPHECTORY and LANGUTORY to detect and address trajectory issues, improving resolution rates and trajectory quality with minimal overhead.
Online monitoring detects inefficiencies early, such as plan violations or oscillatory behavior, and intervenes with diagnostic messages and trajectory rollbacks, leading to significant improvements in resolution rates and shortened trajectories.
23.5%
Resolution Rate Increase with Intervention
Enterprise Process Flow
Localization Phase
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Patching Phase
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Validation Phase
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Submission
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Impact of Intervention on Trajectory Inefficiency
Online monitoring and intervention substantially reduced oscillatory behavior across all models (by 90%) and consistently shortened trajectories. This demonstrates the effectiveness of real-time process-centric analysis in guiding agents towards more efficient problem-solving paths. For example, interventions blocked problematic actions, reverted trajectories, and provided diagnostic messages, helping agents refine their strategies.
The 90% reduction in oscillatory behavior directly translates to more efficient and reliable agent operations, minimizing wasted resources and accelerating problem resolution in enterprise environments.
Calculate Your Potential AI ROI
See how process-centric AI can transform your enterprise efficiency and deliver substantial returns.
Annual Savings
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Hours Reclaimed Annually
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Your AI Implementation Roadmap
A structured approach to integrating process-centric AI into your operations.
01. Initial Assessment & Strategy
We analyze your current agentic systems and workflows to identify key inefficiencies and align with your business objectives.
02. GRAPHECTORY & LANGUTORY Integration
Implement our process-centric analysis framework to capture and visualize agent trajectories and behaviors.
03. Online Monitoring & Intervention Setup
Configure real-time monitoring to detect inefficiencies and apply strategic interventions for improved agent performance.
04. Performance Optimization & Scaling
Iteratively refine agent strategies based on insights from GRAPHECTORY, optimizing for efficiency and resolution rates, then scale across your enterprise.
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