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Error Analyst (Process Failure) Lab

This is an Instructor-Led Lab

This lab is designed for in-person workshop events led by a Boomi instructor. Participants must be provisioned with access to a dedicated Boomi platform account during the workshop. This lab is not intended for self-led learning.

Looking for Self-led learning?

For self-paced learning, check out the Customer Support Triage (Extended) Lab.

Business Situation​

Welcome to Innovate Integrations, a rapidly growing tech firm that specializes in building and managing complex, mission-critical process integrations for a wide range of clients. As senior consultants, you'll tackle a challenge that threatens the company's reputation and scalability.

Innovate Integrations relies on complex integrations across ERP, CRM, and supply chain systems. When processes fail—such as delayed shipments or mismatched orders—teams often scramble to diagnose and fix issues, leading to downtime, missed SLAs, and unhappy customers. The root problem? Manual error analysis is time-consuming, requires deep technical expertise for each specific integration, and produces inconsistent troubleshooting results.

Challenges​

  • Process failures are discovered too late, after damage is done and customer trust has been eroded
  • Root-cause analysis is time-consuming and requires senior technical expertise, stretching support teams thin
  • Recurring issues erode customer trust and operational efficiency, putting Service Level Agreements at risk
  • Manual troubleshooting lacks scalability as the company onboards more clients and builds more integrations

Solution​

An Error Analyzer Agent that monitors integration processes in real time, identifies root causes, and learns from past incidents to prevent repeat failures. This intelligent solution transforms reactive troubleshooting into proactive error resolution, strengthening operational resilience and dramatically reducing Mean Time to Resolution (MTTR).

Use Case​

In this lab, you'll build an Error Analyzer Agent that acts as an expert troubleshooting assistant for Boomi integration failures. When an integration process encounters an error, your agent will:

  1. Receive detailed error messages and payload data from the failed Boomi integration process
  2. Intelligently analyze the error log to understand the context and categorize the error type
  3. Identify potential root causes of the integration failure
  4. Generate detailed, professional troubleshooting recommendations with suggested resolutions
  5. Automatically send the analysis and recommendations to the support team via email using an API tool
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This lab demonstrates how the Agent Step works within the Boomi Integration Platform by using a deliberately failing test process. You'll see how to embed AI-powered error analysis directly into your integration workflows for automated, intelligent incident response.

Business Outcomes​

  • System Uptime: Reduce downtime costs by detecting process anomalies in real time and addressing failures proactively
  • Accelerated Resolution: Optimize operational efficiency through AI-driven root cause analysis and intelligent fix recommendations
  • Resilience: Predict and prevent recurring failures, enabling continuous process improvement and business continuity

Key Performance Indicators (KPIs)​

  • Mean Time to Detect (MTTD): Average time taken to identify an issue from the moment it occurs
  • Mean Time to Resolve (MTTR): Average time required to fully resolve an issue after detection
  • Recurrence Rate of Critical Failures: Frequency of repeat incidents over a given period

Workshop Structure​

This hands-on lab is divided into three parts that progressively build your Error Analyzer Agent solution.

Part 1: Create Tools​

Build governed APIs and endpoints so your agent can send error reports to users. You'll create a secure API Tool in Agentstudio that enables your agent to send email notifications with error details and resolution recommendations.

Part 2: Create Agent​

Assemble your AI agent from task to trusted assistant. You'll define goals and tasks using low-code configuration, build in responsibility with guardrails to protect sensitive data, and validate your agent's logic with interactive testing.

Part 3: Embed the Agent into Business Process​

Achieve true automation by connecting AI insights to business action. You'll build a headless test process that intentionally fails, then use the Agent Step to automatically trigger your Error Analyzer Agent, demonstrating how agents seamlessly integrate into real-world workflows.

Ready to Get Started?

Let's build your Error Analyzer Agent! Click Next below to begin with the prerequisites.