Enterprise-grade customer support powered by Azure OpenAI
Swiftask integrates Azure OpenAI to deliver intelligent, contextual, and secure customer support. Resolve complex inquiries instantly while maintaining full control.
Result:
Improve customer satisfaction and reduce team workload while ensuring data security.
AI Agents
azure openai
Connector azure openai · Secure OAuth 2.0
Traditional customer support struggles to keep up
B2B enterprises face growing volumes of complex tickets. Basic chatbots fail to understand context, while human agents are overwhelmed by repetitive tasks, leading to high response times and degraded customer experience.
Main negative impacts:
Long resolution times
The complexity of B2B requests requires expertise that standard tools lack, drastically increasing waiting times.
Security and compliance risks
Using generic AI tools poses risks to your customers' sensitive data confidentiality.
Inconsistent customer experience
Without deep understanding of customer context, responses are often generic and unhelpful.
With Swiftask and Azure OpenAI, you deploy AI agents capable of analyzing technical documents, understanding customer history, and providing accurate, secure responses that meet enterprise standards.
BEFORE / AFTER
What changes with Swiftask
Manual support
A customer sends a complex technical request. The support team must manually search through scattered knowledge bases, draft a response, and send it. The customer waits for hours or even days for a solution.
AI support with Swiftask + Azure OpenAI
The AI agent instantly analyzes the request by querying your secure knowledge bases. It generates a precise response, adapted to the customer context, and offers it to the human agent for approval or sends it directly. The customer is satisfied in seconds.
Deploy your AI support in 4 steps
1
STEP 1 : Secure connection to Azure OpenAI
Activate the Azure OpenAI connector in Swiftask to leverage powerful LLM models in a private, secure cloud environment.
2
STEP 2 : Integrate your knowledge
Connect your knowledge bases (technical docs, FAQs, CRM) to Swiftask so the AI has the necessary context.
3
STEP 3 : Configure support rules
Define confidence levels, human escalation processes, and tone-of-voice guidelines.
4
STEP 4 : Deployment and monitoring
Activate the agent on your support channels (email, chat, customer portal) and track performance via the Swiftask dashboard.
Advanced AI support features
The agent analyzes not just text, but customer status, ticket history, and request criticality.
- Target connector: The agent performs the right actions in azure openai based on event context.
- Automated actions: Automatic FAQ response. Sentiment analysis for prioritization. Automatic ticket summarization. Suggesting responses for human agents. Structured data extraction from customer requests.
- Native governance: All interactions are logged and analyzable for continuous improvement of your support processes.
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 organization
Frictionless scalability
Manage exponential ticket volumes without proportionally increasing your headcount.
Enterprise-grade security
Benefit from the robustness of Azure OpenAI while keeping data within your trusted perimeter.
Reduced operational costs
Automate up to 70% of level 1 requests, allowing your experts to focus on high-value issues.
Improved CSAT
Fast, accurate, and 24/7 available responses significantly increase customer satisfaction.
Security commitment
Swiftask applies enterprise-grade security standards for your azure openai automations.
- Data isolation: Your data is never used to train public models.
- GDPR and SOC2 compliance: The infrastructure meets the highest security standards on the market.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable results
| Metric | Before | After |
|---|---|---|
| Initial response time | Several hours | Instant |
| Cost per ticket | High | Reduced by 60% |
| Response accuracy | Variable (human) | Consistent and documented |
Take action with azure openai
Improve customer satisfaction and reduce team workload while ensuring data security.