Dynamic Customer Support: Your AI Agents Powered by Fauna
Swiftask connects your AI agents to your Fauna database. Deliver personalized responses by instantly tapping into real-time customer context.
Result:
Reduce resolution time while boosting customer satisfaction with unparalleled accuracy.
AI Agents
fauna
Connector fauna · Secure OAuth 2.0
Static customer support slows down your team
Traditional support tools struggle to provide a 360-degree view of the customer. Your human agents (or unconnected AI) waste precious time searching through fragmented data, leading to customer frustration.
Main negative impacts:
Generic and inaccurate answers
Without access to transactional or behavioral data, responses remain superficial and lack contextual relevance.
High resolution times
Manually searching for information across multiple databases significantly increases the processing time for every ticket.
Fragmented customer experience
Customers have to repeat their history because the agent lacks a consolidated view of their journey, severely hurting retention.
Swiftask integrates Fauna directly into your AI workflows. Your agent becomes an expert capable of querying your database to provide answers based on real, up-to-date facts.
BEFORE / AFTER
What changes with Swiftask
Traditional customer support
A customer asks about a complex order status. The agent must open the CRM, check the database, verify logs, and then formulate a response. This process is slow, error-prone, and inefficient.
Dynamic support with Fauna
As soon as the question is asked, the Swiftask AI agent queries Fauna via a secure request. It retrieves the exact status, history, and customer specifics to instantly generate a precise, empathetic response.
Activating dynamic support in 4 steps
1
STEP 1 : Configure Fauna access
Connect your Fauna instance to Swiftask using secure API keys. Define the collections accessible by the agent.
2
STEP 2 : Define search intents
Teach your agent which questions require a Fauna lookup (e.g., 'what is the status of my order?').
3
STEP 3 : Build the contextual prompt
Integrate data retrieved from Fauna into the AI response engine to ensure answers are based on source data.
4
STEP 4 : Test and deploy intelligently
Validate interactions in the Swiftask interface. Your agent is ready to handle dynamic customer inquiries autonomously.
Advanced agent capabilities
The agent analyzes user intent and builds an optimized Fauna query to extract only the necessary data.
- Target connector: The agent performs the right actions in fauna based on event context.
- Automated actions: Customer profile lookup, order status retrieval, transaction history, balance checks, and simple data updates via the agent.
- Native governance: All requests to Fauna are logged in Swiftask for total transparency and GDPR compliance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-fauna@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.
Strategic benefits of the solution
Extreme personalization
Every response is unique and based on real customer data stored in Fauna.
Boosted productivity
Automate answers to recurring information requests that require database lookups.
Data accuracy
The AI no longer hallucinates facts, as it relies on Fauna as the single source of truth.
Frictionless scalability
Handle thousands of tickets simultaneously without increasing your support staff.
Secure native integration
Enjoy the power of Fauna with the no-code simplicity of Swiftask, without compromising security.
Data security and compliance
Swiftask applies enterprise-grade security standards for your fauna automations.
- Restricted access: Limit agent permissions to only the Fauna collections necessary for its support role.
- Data encryption: Exchanges between Swiftask and Fauna are secured by robust SSL/TLS protocols.
- Full audit trail: View the history of all requests made by the AI to your Fauna database from your Swiftask console.
- AI governance: Maintain control over data exposed to end customers with configurable output filters.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your support operations
| Metric | Before | After |
|---|---|---|
| Average resolution time | Several hours (manual) | Under 2 minutes (AI) |
| Automation rate | Low (complex queries) | Over 70% of tickets |
| Customer satisfaction (CSAT) | Average | Strong growth |
| Cost per ticket | High | Drastically reduced |
Take action with fauna
Reduce resolution time while boosting customer satisfaction with unparalleled accuracy.