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IT AI Agent

The AI-driven support agent, built using the company’s existing Zendesk materials, streamlined IT support, increased productivity, and significantly reduced the burden on the IT helpdesk

In a large European organization with a predominantly senior workforce, the IT department faced persistent challenges in addressing a deluge of repetitive helpdesk tickets. Though the solutions to many routine issues were documented in Zendesk and other internal knowledge bases, employees often found it difficult to locate the relevant resources. Our team stepped in to create an AI-driven support agent, leveraging the company’s existing Zendesk materials. The result was a transformative, user-friendly solution that streamlined IT support, increased productivity, and significantly reduced the burden on the IT helpdesk.
Overview

About The Client

The client, a large enterprise with an extensive legacy IT infrastructure, struggled with an aging workforce less accustomed to navigating self-service portals. Their IT team spent a significant portion of their time fielding repetitive queries, often redirecting users to knowledge base articles or existing Zendesk tickets. Despite having well-documented solutions, the complexity of the search process prevented employees from effectively self-serving. The client needed a solution that would present relevant information instantly, improve the user experience, and free up their IT department for more complex tasks.

Business Challenges:

Overburdened IT Staff

Constantly handling repetitive tickets drained time and resources, limiting the IT department’s ability to tackle higher-level strategic projects

Limited User Adoption of Self-Help Resources

Employees struggled to navigate and understand the available documentation, leading to reliance on direct IT support

Inefficient Knowledge Retrieval

Despite robust Zendesk documentation, the search process was cumbersome, resulting in prolonged resolution times

Scalability Concerns

As the company grew, so did its volume of support requests, threatening to overwhelm existing IT support workflows

Our Solution:

Intelligent Search and Retrieval

By training a natural language model on the company’s repository of tickets and documents, the AI agent could quickly interpret user queries and retrieve the most relevant solutions

Conversational Interface

A user-friendly chat interface enabled employees to describe their issues in plain language, reducing the need for technical know-how

Contextual Guidance

The AI agent didn’t just provide links; it offered step-by-step instructions, ensuring employees could resolve many issues without additional IT intervention

Continuous Learning

With every query, the AI model refined its understanding, improving the accuracy and relevance of its responses over time

Business Value:

Increased Efficiency

The AI agent drastically reduced the volume of repetitive tickets that required direct IT involvement, freeing support staff to focus on complex projects

Enhanced User Experience

By providing immediate, easy-to-understand guidance, employees gained confidence in self-service resources and became more independent

Consistent, High-Quality Support

The AI ensured that responses were always up-to-date and accurate, minimizing misinformation and maintaining organizational standards

Scalability for Growth

As the company expanded, the AI solution scaled effortlessly, preventing resource bottlenecks and maintaining quick resolution times

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Results

Ascend team worked on client's business needs and achieved the following results

Significant Reduction in Ticket Load

Routine inquiries handled by the AI agent cut repetitive IT tickets by over 50%

Faster Resolution Times

Employees found solutions instantly, reducing the average time to resolve common issues from hours to mere minutes

Improved Staff Productivity

With the mundane tasks delegated to the AI agent, IT support staff reclaimed up to 30% of their workday for strategic initiatives

Higher Employee Satisfaction

Quicker, clearer solutions led to improved employee satisfaction rates and increased trust in internal support resources

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