Pricing

Automate IT Ticket Management with the power of Azure OpenAI

Swiftask integrates Azure OpenAI into your IT support. Your AI agents analyze, categorize, and resolve recurring tickets instantly.

Result:

Drastically reduce your IT team's workload and improve overall response times.

Your IT support is overwhelmed by repetitive tickets

The growing volume of IT tickets often overwhelms support teams. Between manual sorting, tedious categorization, and resolving simple requests, valuable technician time is wasted. The result: long wait times, frustrated users, and accumulating technical debt.

Main negative impacts:

Operational overload: Technicians spend too much time on low-value tasks instead of focusing on strategic projects.
High response times: Manual sorting slows down incident handling, increasing the Mean Time To Resolve (MTTR).
Inconsistent support: Without automation, ticket classification depends on humans, leading to errors and mismanaged priorities.

Swiftask uses Azure OpenAI to automate your ticket lifecycle. From reception to resolution, the AI analyzes, prioritizes, and suggests solutions, all while guaranteeing your data security on Azure.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A ticket arrives. A technician must read the request, identify the category, check the priority, search for a solution in the knowledge base, and reply. This process is slow and prone to human error.

With Swiftask + Azure OpenAI

Upon ticket opening, the AI agent analyzes the content with Azure OpenAI. It categorizes the ticket, evaluates urgency, and suggests or applies an automatic resolution. The technician only intervenes for complex cases.

Setting up your IT agent in 4 steps

STEP 1 : Connect your ticket source

Integrate Swiftask with your ticketing tool (Jira, ServiceNow, Email) in just a few clicks.

STEP 2 : Configure the agent with Azure OpenAI

Select your Azure OpenAI instance in Swiftask to give your agent advanced comprehension capabilities.

STEP 3 : Define resolution rules

Teach the AI to identify common issues and propose solutions based on your technical documentation.

STEP 4 : Deployment and monitoring

Activate the agent and track its performance on the Swiftask dashboard for total control.

Capabilities of your intelligent IT agent

The agent analyzes tickets taking into account user context, incident history, and your internal knowledge base.

Target connector: The agent performs the right actions in azure openai based on event context.
Automated actions: Automatic ticket categorization. Sentiment analysis to prioritize critical users. Generation of immediate responses or solutions. Intelligent routing to the right technician if the AI cannot solve the issue.
Native governance: All interactions are secure and compliant with Azure standards.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-azure-openai@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits for your IT department

1. Reduced MTTR

Immediate resolution of simple tickets drastically reduces the mean time to resolve.

2. Standardization

The AI applies the same classification and response rules to every ticket, ensuring quality.

3. Azure security

Benefit from the power of AI with the data security and privacy offered by Azure.

4. Increased productivity

Your technicians focus on complex problems, increasing your team's value.

5. Scalability

Manage a growing volume of tickets without having to hire more support staff.

Security and compliance

Swiftask applies enterprise-grade security standards for your azure openai automations.

Data isolation: Your data stays in your Azure environment, ensuring total privacy.
Full control: You maintain control over AI decisions via the rules you define.
Compliance: The integration respects GDPR and enterprise security requirements.
Audit: Every decision made by the agent is logged in Swiftask.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact

Metric	Before	After
Ticket sorting time	Minutes	Seconds
Tickets resolved by AI	0%	Up to 60%
User satisfaction	Standard	Improved
Operational cost	High	Optimized

Take action with azure openai

Drastically reduce your IT team's workload and improve overall response times.