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Incident Alerts

Incident AI

Smarter Incident Handling for Always-On Enterprises.

As organizations scale their digital infrastructure, IT service management must evolve to ensure business continuity and quicker turnaround for critical operations. Traditional ticket management methods often face scale challenges, adversely impacting service delivery and customer satisfaction.

Manual ticket resolution processes are labor-intensive and time-consuming. IT support teams often review several tickets individually, analyze them, and then find a resolution, leading to ticket fatigue. The other major issue is the lack of historical context and data. Consequently, the support team loses time when solving recurring problems. Further, it leads to slower turnaround and more downtime.

AI is employed in almost every facet of IT and has the potential to revolutionize IT support services. Our accelerator, Incident AI, is designed to optimize your IT service management workflow using AI and intelligent automation.

How it Works?

We start with “Ticket Clustering Management”, using AI-based ticket clustering to reduce the number of tickets to the support team. Instead of manually going through several tickets, the team can resolve groups of tickets that pertain to similar issues. They also get a comprehensive view of the real issue, reducing the noise and alleviating alert fatigue of the support team.

The next step in the process is our resolution recommendation engine, which offers tailored resolutions learned by analyzing historical data, proprietary KBs, and associated SOPs. Other features include SOP summarization and identification of relevant sections.

In addition to active ticket resolutions, it is necessary to maintain a robust preventive stance to reduce recurring tickets. Incident AI uses historical data to gain a deep understanding of the domain. Coupled with predictive analytics and related AI tools, it can predict possible future tickets. The team can use these contextual insights to take proactive preventive steps.

Finally, we can integrate Copilot or other AI chatbot assistants to create an interactive chatbot that understands the issue and suggests possible resolutions. We also perform automation suite integrations with these AI assistants to enable intelligent automation and streamline your workflows.

Benefits

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Quicker Turnaround Time

Reduce MTTR (Mean time to recovery) and increase availability by efficiently identifying and addressing clusters of related issues.

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Enhanced Decision-Making

Access Actionable insights on improving support workflow and resolution recommendations based on historical data and best practices.

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Proactive Problem Resolution

Predict and prevent potential issues before they impact operations, ensuring continuous service delivery.

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Seamless Workflow Integration

Integration with AI assistants and automation suites delivers a streamlined service management experience.

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Features

Here are the key features of Incident AI:

Ticket Clustering Management

Automatically groups similar incidents using AI-driven pattern recognition, reducing duplicate tickets and minimizing ticket-triage overload. This lets support teams treat groups of related issues at once, instead of handling each ticket individually.

Resolution Recommender

Leverages historical fixes, knowledge base articles and standard operating procedures to suggest the most appropriate remediation steps. The result is faster, more consistent resolutions with less reliance on human memory or guesswork.

Predictive & Preventive Maintenance

Using analytics on past incident data, Incident AI forecasts potential failures or recurring issues. This enables proactive maintenance before problems surface, helping reduce downtime and prevent repeat tickets.

AI Assistant / Copilot Integration

Embeds an interactive AI assistant that can converse with support agents or end users. It can understand issues contextually, suggest next steps, retrieve relevant knowledge and trigger automation workflows. This transforms ticket resolution from reactive to conversational and efficient.

Use Cases

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    Travel

    Enterprises in the travel sector can use Incident AI to swiftly resolve booking system malfunctions, website errors, and technical glitches.

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    Hospitality

    Players in the hospitality sector can use Incident AI to streamline guest complaints about Wi-Fi connectivity, room-key systems, or guest booking platforms, ensuring guest satisfaction.

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    Retail

    Retailers can use Incident AI to promptly address POS failures, website glitches, or inventory management software issues.

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    Cruise Lines

    Cruise lines can use our Incident AI solution to effectively manage connectivity issue tickets at sea.

Accelerators

Move from Reactive to Intelligent Support.

Enable real-time, intelligent assistance across channels while decreasing operational overhead.

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Move from Reactive to Intelligent Support.
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