Intelligent customer support: Llama AI for your team
Swiftask integrates the power of Llama AI to transform your customer interactions. Provide instant, contextual, and accurate answers.
Result:
Dramatically improve your CSAT while reducing the workload on your human agents.
AI Agents
llama ai
Connector llama ai · Secure OAuth 2.0
Support saturation is slowing down your growth
Support teams are overwhelmed by repetitive requests. Customers expect immediate answers, but manual handling creates bottlenecks, increases delays, and decreases overall satisfaction.
Main negative impacts:
Excessive response times
The accumulation of untreated tickets discourages customers and harms your reputation in the long run.
Inconsistent answers
Without guidance, every agent responds differently, creating a fragmented and unprofessional customer experience.
Team burnout
Your experts spend 80% of their time answering the same basic questions instead of solving complex problems.
Swiftask connects Llama AI to your knowledge base. The AI analyzes requests and proposes accurate answers in milliseconds, ensuring total consistency.
BEFORE / AFTER
What changes with Swiftask
Traditional customer support
The customer sends an email. The agent must read it, consult documentation, draft a response, and review it. This process takes hours or days, during which the customer receives no information.
Support augmented by Llama AI
Upon receipt, the Swiftask AI agent analyzes the request via Llama. It generates a response based on your secure data and proposes it to the human agent for validation or sends it automatically. The customer gets a solution in seconds.
Deploying Llama AI for your support in 4 steps
1
STEP 1 : Connect your data sources
Link Swiftask to your knowledge bases (Notion, PDF, Zendesk) to train Llama on your specific documentation.
2
STEP 2 : Configure AI behavior
Define the tone, response rules, and cases where escalation to a human is mandatory.
3
STEP 3 : Test the agent in sandbox mode
Evaluate the accuracy of the answers provided by Llama AI before going live for your users.
4
STEP 4 : Deployment and learning
Activate the agent. Swiftask continuously learns from interactions to improve the relevance of future answers.
Advanced Llama integration capabilities
The AI analyzes intent, customer sentiment, and historical data to provide a personalized response.
- Target connector: The agent performs the right actions in llama ai based on event context.
- Automated actions: Automatic response drafting, complex ticket summarization, key information extraction, and suggestion of corrective actions.
- Native governance: You keep full control: Llama AI only answers based on the documents you provide.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-llama-ai@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 Llama AI with Swiftask
Contextual accuracy
Llama understands your business nuances thanks to secure access to your knowledge base.
Guaranteed confidentiality
The open-source approach allows for controlled data management, essential for demanding companies.
Cost reduction
Automate first-level support to optimize your human resources.
24/7 Availability
Your customers receive help instantly, regardless of time zone or day of the week.
Unlimited scalability
Handle spikes in demand without needing to hire massively.
Security and data sovereignty
Swiftask applies enterprise-grade security standards for your llama ai automations.
- Secure access management: Your data remains isolated. Llama AI does not share your information with third parties.
- Knowledge control: You choose precisely which documents the AI has access to for answering.
- Audit and compliance: Every interaction is logged to ensure full compliance with GDPR standards.
- Sovereign AI: Benefit from the power of Llama while maintaining control of your infrastructure.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable operational impact
| Metric | Before | After |
|---|---|---|
| Average resolution time | Several hours | Under 2 minutes |
| Manual ticket volume | 100% | Less than 30% |
| Customer satisfaction score | Variable | Consistently rising |
| Processing capacity | Limited by headcount | Unlimited |
Take action with llama ai
Dramatically improve your CSAT while reducing the workload on your human agents.