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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.

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

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.

STEP 2 : Integrate your knowledge

Connect your knowledge bases (technical docs, FAQs, CRM) to Swiftask so the AI has the necessary context.

STEP 3 : Configure support rules

Define confidence levels, human escalation processes, and tone-of-voice guidelines.

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

1. Frictionless scalability

Manage exponential ticket volumes without proportionally increasing your headcount.

2. Enterprise-grade security

Benefit from the robustness of Azure OpenAI while keeping data within your trusted perimeter.

3. Reduced operational costs

Automate up to 70% of level 1 requests, allowing your experts to focus on high-value issues.

4. 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

MetricBeforeAfter
Initial response timeSeveral hoursInstant
Cost per ticketHighReduced by 60%
Response accuracyVariable (human)Consistent and documented

Take action with azure openai

Improve customer satisfaction and reduce team workload while ensuring data security.

Generate high-quality code automatically with Azure OpenAI

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