INDUSTRY: Healthcare, Banking & Finance
Tags:
How Accelirate’s Intelligent Agents for Production Support Automation Resolve Error Under 30 Mins with UiPath Maestro
70%
reduction in manual support and monitoring
< 5
minutes average response time
95%
automation rate in production support processes
98%
classification accuracy for issues
< 30
minutes average error resolution time
Client Overview
The client operates in industries such as healthcare, banking, and finance, with large-scale automation environments that require continuous monitoring and production support. Their Robotic Operations Center (ROC), CoE teams, and testing teams were spending excessive time on manual tasks like ticket management, monitoring, escalation handling, and feedback loops. The lack of seamless integration between tools caused delays, high costs, and scalability challenges.
Key Takeaways
- Agentic automation using UiPath Maestro for centralized, intelligent production support
- Specialized AI Agents for credentials, logs, queues, licenses, infra, and testing
- Fully automated detection, escalation, and communication workflows integrated with Jira and Teams
- 70% drop in manual monitoring effort
- Dynamic XAML-based test suite creation for on-demand testing
- SLA compliance through Maestro’s intelligent orchestration
The client’s automation teams were managing thousands of processes but struggled with fragmented tool integration, manual monitoring, and slow incident resolution. These inefficiencies impacted SLA compliance and limited automation scalability. Accelirate implemented a UiPath Maestro-driven agentic automation solution that deployed intelligent AI Agents for round-the-clock production support.
The client chose UiPath Maestro and UiPath Agent Builder due to their flexibility, ability to integrate across diverse systems, and capacity to scale production support through intelligent orchestration. The goal was clear; to eliminate manual inefficiencies, improve resolution speed, and ensure proactive, reliable RPA operations.
Modernizing RPA Operations with End-to-End Orchestrated Intelligent AI Agents
Before the project, the client’s CoE, ROC, and testing teams were facing slow issue resolution, heavy manual workloads, and multiple disconnected systems for monitoring, escalation, and testing. There was no centralized control, and SLA breaches were common due to delays in detection and escalation.
Accelirate addressed these challenges by implementing the following solutions:
01 - UiPath Maestro Orchestration
Centralized orchestration of all AI Agent workflows, ensuring SLA compliance and control.
02 - Specialized AI Agents
Automated monitoring, log analysis, credential management, and license optimization.
03 - Dynamic Testing Automation
XAML-based dynamic test suite creation with auto-assigned test types and schedules.
04 - Automated Escalations & Communication
Jira and Microsoft Teams integration for ticket lifecycle automation and instant escalation.
05 - Delta Encoding & Classification
Improved classification accuracy to 98% for faster triage.
06 - Comprehensive Audit Trail
Full traceability of every step for compliance and governance.
What Was Unique About the Solution That Was Implemented?
What made this solution stand out was the deep integration of intelligent AI Agents within a Maestro-orchestrated framework, enabling fully automated, 24/7 monitoring, escalation, and testing.
Key differentiators:
- Use of threshold-based decision logic to classify and escalate issues automatically
- Dynamic test creation for instant validation without human intervention
- Scalable architecture that can be adapted across multiple industries and environments
- End-to-end visibility into root cause analysis (RCA) and performance
- Automated governance with a comprehensive audit trail
Delivering Faster Resolution, Improved Compliance, and Scalable Automation
With the new Maestro-driven AI Agent ecosystem, the client achieved rapid, measurable improvements in their RPA production support. Not only did the automation rate hit 95%, but response and resolution times were dramatically cut, governance improved, and scalability became seamless. This meant fewer SLA breaches, reduced operational costs, and more proactive issue handling.
Key Results:
- 70% reduction in manual support and monitoring effort
- < 5 minutes average response time for issue detection
- 95% automation rate for production support tasks
- 98% classification accuracy for escalations and incidents
- < 30 minutes average error resolution time
- Improved compliance and audit readiness through integrated governance tracking
Future-Proofing RPA Operations with Intelligent Agentic Automation
This success story outlines how Accelirate’s tailored agentic automation solution optimized the client’s RPA operations, improving efficiency, scalability, and compliance. It enabled them to not only meet their immediate challenges but also position themselves for sustainable, future-ready automation support. By integrating intelligent AI Agents, reducing manual intervention, and standardizing workflows, the company is now equipped to meet SLA targets with agility and reliability.
If you are looking to achieve similar results for your business, partner with a trusted AI agent automation enabler to explore innovative, tailored agentic automation solutions that can support your operational goals and drive growth. Connect with us today!
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