INDUSTRY: IT Services

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How Accelirate’s AI Agent Automates Faulted Job Log Analysis for IT Teams, Enabling Faster Root Cause Diagnosis, Cleaner Log Visibility, and 99.9% Uptime SLA

2–3 sec

Log Fetch Latency

100%

Structured Output Consistency

99.9%

Uptime SLA

2–6 weeks

Deployment Timeframe

Client Overview

The client is a UiPath enterprise user running multiple automation processes across development, UAT, and production environments. Faulted job logs were difficult to analyze due to unstructured data, making support teams dependent on manual retrieval and interpretation. This caused delays in resolving automation failures and slowed down QA and support functions.

Key Takeaways

  • Enables RPA developers and support teams to instantly access logs for faulted jobs
  • Standardizes log format into structured DataTables for clear, chronological analysis
  • Flexible filtering based on job status, process name, and time window
  • Easily deployable agent within UiPath Orchestrator with integration-ready outputs
  • Supports use cases from UAT debugging to self-healing automation logic
Timely resolution of faulted automation jobs is essential for ensuring operational continuity in IT and RPA environments. Traditionally, support teams had to manually access UiPath Orchestrator, locate relevant job executions, and decode unstructured robot logs — a tedious and time-intensive process prone to oversight and delay.
To address these inefficiencies, the client partnered with Accelirate to implement the Job Log Analyzer Agent, a production-ready AI agent built using UiPath and Agentic Automation principles. This agent dynamically retrieves faulted job logs via secure API calls, parses log data into structured, human-readable formats, and delivers clear diagnostics directly to developers or support teams. The solution eliminates repetitive manual effort, reduces diagnostic turnaround time, and empowers downstream systems or self-healing agents with actionable insights all while maintaining 100% output consistency and seamless integration with UiPath Orchestrator.

Optimizing Faulted Job Diagnostics with Intelligent AI Agent Automation

Diagnosing failed automation jobs in UiPath was a highly manual process involving time-consuming log retrieval, parsing of unstructured data, and interpretation of technical messages. IT and CoE teams often struggled with inconsistent log formats, complex JSON structures, and limited real-time visibility — delaying root cause analysis and resolution. These delays disrupted automation reliability and created support bottlenecks across environments. To eliminate these challenges, Accelirate deployed a fault-tolerant AI Agent that autonomously retrieves, parses, and summarizes UiPath faulted job logs, empowering teams to resolve issues faster with structured insights and zero manual effort.
Dynamic Job Log Filtering Retrieval
Dynamic Job Log Filtering Retrieval

01 - Dynamic Job Log Filtering & Retrieval

The AI Agent connects to UiPath Orchestrator using secure API calls, applying filters such as JobStatus and ProcessName to fetch the first faulted job for analysis—no manual lookups required.

02 - Real-Time JSON Log Parsing

Robot logs are retrieved in JSON format and automatically parsed into structured tables using Newtonsoft.Json, transforming complex data into readable outputs within seconds.

03 - Chronological Log Sorting

Log entries are sorted by timestamp ticks to ensure a clear, step-by-step sequence of events, aiding quick understanding and pinpointing of fault origins.

04 - Human-Readable Output Generation

Parsed logs are formatted into a concise, readable string (out_RobotLogs) for easy interpretation, which can be sent via Teams, Email, or integrated dashboards.

05 - Plug-and-Play Agent Design

Built as a reusable backend for larger diagnostic or support bots, the agent accepts flexible input parameters and returns standardized output for consistent use.

06 - Seamless Integration with Monitoring Tools

Can be triggered through Maestro, Action Center, or other monitoring platforms to provide just-in-time diagnostics when a fault is detected in production environments.

07 - Secure & Compliant Data Handling

All data is processed in-memory over HTTPS using authenticated tokens, ensuring role-based access and compliance with enterprise RPA security protocols.

Architecture Overview:

Layer Description
Input Layer Inputs received via Agent interface or Maestro (e.g., {{JobStatus}}, {{ProcessName}}, optional date/time filters). Triggered manually or automatically via fault-detection rules.
Execution Logic (Agent Core) The agent invokes the Get Robot Logs From Jobs workflow deployed in Orchestrator. This workflow constructs dynamic OData queries based on inputs.
API Integration Uses HTTP Request activities to interact with Orchestrator’s /odata/Jobs and /odata/RobotLogs endpoints.
Data Parsing & Transformation Robot logs are returned as JSON, then parsed using Newtonsoft.Json. Data is stored in a DataTable with all log attributes (e.g., Level, Message, Timestamp).
Analysis & Output Layer The log entries are sorted by timestamp, formatted, and returned as a text string ({{out_RobotLogs}}). This output can be consumed by Maestro, other agents, or humans.
Optional Output Destinations Results may be shown in Maestro dashboards, UiPath Apps, Action Center, or routed to Slack, email, or MS Teams via downstream agents.
Faulted Job Log

What Was Unique About the Solution Implemented?

Accelirate’s AI-powered agent for faulted job analysis delivered a highly specialized automation tailored for UiPath Orchestrator environments. Unlike generic log readers, this solution dynamically filtered jobs by status and process name, retrieved the first relevant execution, and parsed complex JSON logs into structured, human-readable summaries — all without requiring developer intervention. The agent’s architecture featured resilient API integrations, automated JSON deserialization, and timestamp-based sorting to preserve execution sequence. Designed with reusability in mind, it can plug into broader support workflows, self-healing automations, or triage dashboards. With built-in flexibility for schema modifications and log filtering enhancements, the solution is ready to scale across environments and evolving diagnostic needs.

Optimizing RPA Support with AI Agent for Faster, Smarter, and More Reliable Job Diagnostics

By automating faulted job log analysis with UiPath and intelligent API-driven workflows, the organization accelerated root cause identification, reduced manual troubleshooting time, and improved overall system reliability. The solution empowered support teams with clean, structured logs and real-time diagnostics—streamlining issue resolution while enhancing compliance and visibility.

01 - Instant Log Visibility

2–3 second response time for retrieving and presenting structured, readable logs from Orchestrator.

02 - Eliminating Manual Analysis

Fully automated retrieval and parsing of JSON logs into chronological formats—zero manual effort required.

03 - Faster Issue Resolution

Significant reduction in time spent on fault diagnosis, enabling faster triage and reduced downtime.

04 - Always-On Diagnostic Support

99.9% uptime SLA when deployed in stable orchestrator environments ensures continuous support availability.

05 - Compliance & Audit Readiness

100% output standardization and traceability via secure API calls and Orchestrator role-based access.

06 - Scalable & Reusable Agent Design

Plug-and-play architecture designed for integration into larger support frameworks and future diagnostic enhancements.
AI Agent Automates

Achieve New Levels of Diagnostic Speed and Accuracy with AI Agent-Driven Automation

This success story highlights how Accelirate’s AI-powered log analysis agent transformed fault resolution across enterprise RPA environments. By automating job log retrieval, parsing, and formatting through UiPath Agentic Automation, the organization eliminated manual diagnostics, improved visibility, and accelerated response times—reducing support overhead and increasing system resilience.
At the heart of this transformation is the Faulted Job Log Analyzer Agent—a scalable, plug-and-play automation built for seamless integration, resilient performance, and actionable insights. If you’re looking to modernize your RPA support workflows and unlock true operational intelligence, partner with Accelirate. Connect with us today to explore scalable, intelligent automation solutions tailored to your diagnostic and IT support needs.

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