INDUSTRY: Finance, IT, Healthcare
Tags:
How Accelirate’s UiPath Powered AI Agent Solution Reduces Issue Resolution Time by 85% Across Finance, IT, and Healthcare Teams
85%
reduction in manual test case assignment time
100%
automation for execution trigger, Jira entry, and reporting
6–8
minutes saved per test assignment
Up to 6 mins
saved per report cycle
100%
coverage for execution and reporting requests
Client Overview
This case study highlights how Accelirate’s internal Finance, IT, Banking, Customer Service, and Healthcare teams streamlined their production support and testing workflows by leveraging in-house AI agents powered by UiPath Maestro, UiPath Test Suite, UiPath Orchestrator and Action Center. The initiative aimed to optimize operational agility, reduce manual effort, and improve visibility across departments.
Key Takeaways
- Fully automated internal production support process across multiple departments
- Smart routing, ticketing, classification, and test execution driven by AI agents
- Structured exception handling and cross-functional transparency
- Feedback from Action Center closed the loop with intelligent test execution
- Reduced workload on internal QA, Dev, and ROC teams
Accelirate’s internal teams were facing increasing pressure to manage production support efficiently across multiple business units. Processes such as identifying production issues from unstructured emails, manually classifying exceptions, coordinating test cases, and creating Jira tickets were not only time-consuming but also error-prone.
To resolve these internal inefficiencies, Accelirate turned inward and deployed a fully AI agent-driven automation solution using UiPath Maestro BPMN, Test Suite, Orchestrator, and Action Center. This in-house solution enabled cross-departmental automation, improved traceability, and reduced dependence on manual intervention, all aligned with Accelirate’s mission of intelligent enterprise automation.
Replacing Internal Workflow Silos with AI Agents and UiPath Maestro Automation
Internal requests came in via email without structure, resulting in bottlenecks across testing, reporting, and support handoffs. Each function (Finance, Banking, Healthcare, etc.) managed issues differently, leading to inconsistent processes and delays. Manual classification of exceptions, Jira ticket entry, and test coordination also led to redundant communication and lack of traceability.
Accelirate solved this using a unified, automated system orchestrated by AI Agents that took control from input to resolution:
01 - Automated Workflow Trigger via Email
- Execution initiated by simple email (e.g., “Please conduct production management for this week.”)
02 - Smart Classification and Routing by AI Agents
- Tasks classified as testing or production
- Acknowledgment email sent instantly
03 - Jira Ticketing Automation
- Tickets auto-created and updated in real-time
- Categorized for exceptions, test requests, and execution summaries
04 - Robot Log Analysis with Exception Categorization
- Agents categorized issues into Business, System, or Credential errors
- Assigned issue to the correct internal department
05 - Escalation Trigger at 80% Failure
- Automatic escalation to Action Center with type-based resolution paths
06 - Feedback Collection via Action Center
- Exception reviewers submitted required test types, test names, and issue categories
- AI Agents triggered relevant test cases via Test Suite
07 - Automated Reporting
- Reports included root cause, department, test status, and exception classification
- Summary emailed if execution was “Healthy” (below failure threshold)
What Was Unique About the Solution That Was Implemented?
Unlike traditional production support models, this solution reflected Accelirate’s commitment to intelligent orchestration, not just automation. What made it unique:
- Human-like decision-making via AI Agents embedded with logic and memory
- Context-aware workflows that adjusted actions based on failure thresholds and agent feedback
- Tightly integrated systems: Email ➝ Jira ➝ Action Center ➝ Test Suite ➝ Reporting
- Feedback loop built-in to enhance future test selections and reduce repeat issues
- Cross-functional transparency allowing all departments to operate within one streamlined platform
Value Matrics:
| Process | Estimated Time Saved | Coverage | |
|---|---|---|---|
| Execution Trigger | 5 minutes | 100% | |
| Exception Classification | 4–6 minutes | 95% | |
| Jira Automation | 3–4 minutes | 100% | |
| Test Assignment | 6–8 minutes | 85% | |
| Reporting & Notification | 5–6 minutes | 100% |
Tangible Time Savings and Workflow Improvements Across Accelirate Teams
This internal transformation became a proof point for Accelirate’s own AI capabilities. Teams across departments now engage with production management in a predictable, accurate, and time-saving manner. What once required lengthy coordination is now handled in minutes seamlessly, reliably, and autonomously.
01 - Execution Trigger Automation – 100% Coverage
- Eliminated the need for manual kickoff based on email input.
02 - Exception Classification Time Reduced by 4–6 Minutes
- AI Agents accurately classified and routed issues.
03 - Test Assignment Time Cut by 6–8 Minutes
- Smart routing based on failure type and department ownership.
04 - Jira Ticket Creation and Updates Fully Automated
- 100% lifecycle traceability with real-time logs and outcomes.
05 - Reporting & Notifications Made Seamless
- Summary emails and detailed execution reports sent without delay.
06 - Improved Collaboration Across Departments
- Structured handoff through Action Center enabled real-time feedback loops.
07 - Escalation Accuracy and Timeliness
- 80% failure threshold automatically triggered business attention.
08 - Reduced Rework and Repeat Errors
- Better test case selection and classification minimized recurring issues.
How Internal Innovation Drives Excellence Across Teams
This success story outlines how Accelirate’s internal automation strategy optimized operations across departments, improving efficiency, traceability, and cross-functional alignment. By embedding AI agents into its Maestro production support process, Accelirate streamlined issue resolution, eliminated manual bottlenecks, and positioned itself as a model of intelligent internal automation.
If your team is looking to replicate this level of innovation internally, reach out to our experts to explore how agent-driven automation can be customized to fit your support and operations workflows.
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