Elevate your customer support with AI and Ragie
Swiftask leverages Ragie to turn your documentation into an expert support assistant. Provide accurate answers to your customers instantly.
Result:
Drastically reduce ticket handling time while improving the quality of your responses.
AI Agents
ragie
Connector ragie · Secure OAuth 2.0
Manual knowledge management slows down your team
Support agents spend too much time searching through scattered knowledge bases. This delay frustrates customers and overloads your technical staff.
Main negative impacts:
Long response times
Searching through unstructured documents unnecessarily increases ticket resolution time.
Inconsistent information
Without a single source of truth, answers provided to customers vary from agent to agent, harming your brand image.
Technical expert overload
Recurring questions often require direct intervention from engineers, distracting them from high-priority tasks.
The Swiftask + Ragie integration allows your AI to access your documentation instantly. It provides contextualized, data-backed answers 24/7.
BEFORE / AFTER
What changes with Swiftask
Traditional support
A customer asks a technical question. The agent searches the wiki, can't find the info, asks a colleague, then writes a reply. The customer waits for hours.
Support with Swiftask and Ragie
The customer asks a question. The AI agent instantly queries Ragie, extracts the exact info from your documentation, and proposes a complete, verified answer in seconds.
Deploy your AI support assistant in 4 phases
1
STEP 1 : Index content in Ragie
Centralize and index your guides, FAQs, and technical manuals within Ragie for lightning-fast semantic search.
2
STEP 2 : Connect to Swiftask agent
Enable the Ragie connector in Swiftask to give your AI agent direct access to this knowledge base.
3
STEP 3 : Set response rules
Define your agent's tone, language, and response constraints to ensure consistency with your brand identity.
4
STEP 4 : Go live and monitor
Activate the agent on your support channels. Track response accuracy via the Swiftask dashboard.
AI support agent capabilities
The agent analyzes ticket context, identifies intent, and extracts relevant segments from your Ragie-indexed documents.
- Target connector: The agent performs the right actions in ragie based on event context.
- Automated actions: Automatic ticket response. Complex conversation summaries. Suggested responses for human agents. Technical data extraction from documentation.
- Native governance: All answers sourced by Ragie are tracked for human review if needed.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ragie@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.
Operational benefits of AI-Documentation pairing
Reduced resolution time
Immediate access to relevant information cuts average ticket handling time in half.
Service scalability
Your support team can handle growing request volumes without proportional hiring.
Consistent quality
The AI uses only Ragie-indexed documents, ensuring compliant and up-to-date answers.
Continuous availability
Provide high-quality first-level assistance even outside business hours.
Continuous enrichment
Update your documentation in Ragie, and the agent immediately incorporates the new knowledge.
Data security and privacy
Swiftask applies enterprise-grade security standards for your ragie automations.
- Data isolation: Your data in Ragie remains strictly confidential and accessible only by your authorized agents.
- Source control: You maintain full control over the documents used by the AI to generate its responses.
- Interaction traceability: Every AI-generated response is archived with the source used for later verification.
- GDPR compliance: The Swiftask and Ragie infrastructure meets the strictest data protection standards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance metrics
| Metric | Before | After |
|---|---|---|
| Average response time | Several hours | Under 30 seconds |
| First-contact resolution rate | Moderate | Significantly optimized |
| Human agent workload | High | Reduced by 40% |
| Customer satisfaction (CSAT) | Standard | Constantly improving |
Take action with ragie
Drastically reduce ticket handling time while improving the quality of your responses.