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Instant dynamic document search for LiveChat conversations

Swiftask connects your internal documents to LiveChat. Your agents get precise, accurate answers extracted from your knowledge base in seconds.

Result:

Drastically reduce First Response Time (FRT) and enhance the quality of your customer support interactions.

Your agents waste valuable time searching for information

When facing a customer query on LiveChat, agents often have to dig through dozens of PDFs, wikis, or internal docs. This manual search slows down service, increases abandonment rates, and leads to inconsistent answers.

Main negative impacts:

  • Excessive response time: Manual searching through scattered document silos unnecessarily extends customer wait times.
  • Inconsistent support answers: Without a unified tool, different agents may provide conflicting information based on outdated document versions.
  • Agent cognitive overload: The pressure of real-time support combined with difficult information access exhausts your teams and lowers engagement.

Swiftask indexes your documents and makes them accessible directly within your LiveChat interface. AI analyzes the customer query and extracts the relevant information instantly for the agent.

BEFORE / AFTER

What changes with Swiftask

The traditional method

A customer asks a technical question. The agent pauses the conversation, opens a shared folder, searches for the right document, scans it for the answer, then returns to LiveChat to rephrase it.

The Swiftask + LiveChat approach

The customer asks the same question. The AI agent instantly analyzes the query, checks your knowledge base, and suggests a precise answer in real-time. The agent validates and sends.

Setting up intelligent search in 4 steps

STEP 1 : Connect your data sources

Upload your documents (PDF, Notion, Google Drive, FAQ) into Swiftask. They are securely indexed for semantic search.

STEP 2 : Integrate with LiveChat

Enable the LiveChat connector in Swiftask. The agent becomes an invisible assistant integrated into your workflow.

STEP 3 : Define search context

Configure your agent's rules to prioritize specific documents or business units during its searches.

STEP 4 : Launch automated assistance

Your agents immediately benefit from answer suggestions based on your most up-to-date documentation.

Advanced search capabilities

AI understands the intent behind customer questions, going beyond mere keywords to identify the most relevant document.

  • Target connector: The agent performs the right actions in livechat based on event context.
  • Automated actions: Real-time cross-source search. Contextual answer extraction. Source citation for agent verification. Automatic index updates when documents are modified.
  • Native governance: Swiftask ensures only authorized information is accessible by the agent, maintaining your data privacy.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-livechat@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.

Why choose Swiftask for LiveChat

1. Immediate productivity gains

Agents handle more tickets in less time thanks to instant access to information.

2. Consistent service quality

Every answer is based on official documents, ensuring perfect consistency regardless of the agent.

3. Accelerated onboarding

New agents become operational much faster as they no longer need to memorize everything.

4. Support scalability

Handle higher request volumes without the need for massive recruitment.

5. Continuous improvement

Analyze queries without answers to identify gaps in your internal documentation.

Security and data privacy

Swiftask applies enterprise-grade security standards for your livechat automations.

  • Document encryption: All your indexed documents are encrypted at rest and in transit.
  • Access management: Precisely control which agents or departments have access to specific document sources.
  • GDPR compliance: Swiftask adheres to the highest standards of data protection.
  • Data isolation: Your data is never used to train public AI models.

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

RESULTS

Impact on key performance indicators

MetricBeforeAfter
First Response Time (FRT)Several minutesA few seconds
First Contact Resolution (FCR)AverageHigh
Customer Satisfaction (CSAT)VariableOptimized
Agent training timeWeeksDays

Take action with livechat

Drastically reduce First Response Time (FRT) and enhance the quality of your customer support interactions.

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