✦ MOduł AI

AI On-Premises - intelligence that stays within your infrastructure

Your Service Desk works faster, more precisely, and more securely.
The Mint AI module analyzes ticket content, generates summaries, suggests solutions, and finds similar incidents — all fully on-premises, in line with your security policies and GDPR requirements.

Mint Service Desk allows you to create forms with custom fields and conditional logic. Depending on the type of request, the appropriate fields, validations, and suggestions appear automatically. The result? Less back-and-forth, faster handling, and better reporting.
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AI-powered features

Discover how artificial intelligence is transforming IT support.
Smart summaries
AI automatically condenses long ticket threads, extracting key information, decisions, and context. It allows agents to get up to speed in seconds.
Time savings
Faster ticket handover
Fewer errors and oversights
Automated responses
Generate precise, context-aware replies based on knowledge base content, ticket history, and documentation. AI adapts the message to the specific issue.
Consistent communication
Shorter resolution time
Less repetitive work
Automatic categorization
AI identifies the type of issue and assigns the ticket to the right queue, sets priority, and suggests routing.
Faster triage
Less manual work
More stable SLAs
Predictive analytics
AI detects recurring patterns and predicts issues before they become critical. You receive recommendations that improve service quality and stability.
Proactive support
Process optimization
Better resource planning
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How does AI work in Mint Service Desk?

All AI operations run entirely locally, within your infrastructure.
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The model analyzes ticket content, communication history, and knowledge available within your system instance — without any data transfer outside. This allows you to use intelligent features while maintaining full compliance with security policies and regulations.

Context analysis

The system analyzes ticket content, communication history, and past cases to better understand the issue. This makes it easier to determine what the problem is, even if the description is unclear or chaotic.

Language processing

Built-in NLP models interpret user intent, tone of voice, and urgency. AI handles natural, informal language, helping agents work efficiently even with long and complex threads.

Knowledge search

AI searches only local resources: the knowledge base, documentation, and ticket history. Based on this, it finds the most relevant information to help resolve the issue. The entire process runs locally and remains under full organizational control.

Suggestion generation

Based on context analysis, the system generates response suggestions, ticket classification hints, and potential next steps. All suggestions are created using data within the client’s environment, ensuring security, consistency, and alignment with real processes.

Continuous learning
AI continuously improves by learning from how agents resolve tickets and how users describe problems. The learning process also happens locally, with no data transfer. The longer you use the system, the more accurate and helpful the suggestions become.
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Why is it worth it?

For requesters

Users receive faster and more accurate responses because the agent immediately sees a summary of the ticket, key information, and similar cases. Less back-and-forth, less uncertainty — simply more efficient support.

For agents

AI extracts what matters most from the ticket: symptoms, errors, keywords, and context. It suggests next steps, supports response creation, and helps understand the issue faster — without reading the entire history. It also finds related past tickets and presents ready-to-use solutions. The result? Shorter diagnosis time, fewer repetitive tasks, and consistent team communication.

For managers

On-prem AI eliminates the risk of data leaks, ensures full regulatory compliance, and delivers a predictable level of team performance. Automatically generated summaries of closed tickets become ready-to-use process documentation, supporting onboarding, audits, and continuous improvement.
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FAQ

What should you know?

Yes. All models run within your infrastructure, with no communication with the cloud.

No. The on-premises version does not send data outside and does not train models on customer tickets.

Yes — AI analyzes content regardless of ticket type and works across both IT and business processes.

No. The AI module is available only in the On-Premises version. In the cloud version, the feature is not available due to security policies and the inability to store data in an external environment.

Yes. This solution is designed specifically for organizations that need full control over their data and cannot use cloud-based AI.

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