Supercharge your customer support with Swiftask and Relevance AI
Merge the analytical intelligence of Relevance AI with the execution power of Swiftask to deliver ultra-responsive, personalized customer support.
Result:
Turn every interaction into a loyalty opportunity while drastically reducing resolution time.
AI Agents
relevance ai
Connector relevance ai · Secure OAuth 2.0
The limitations of traditional support tools
Growing ticket volumes and complex requests often exceed the capabilities of support teams. Classic tools lack the analytical depth to truly understand customer context, leading to generic responses and shared frustration.
Main negative impacts:
Ineffective standardized responses
Traditional macros are no longer enough. Customers expect a nuanced understanding of their history and specific needs.
Agent cognitive overload
Your teams waste precious time searching through dispersed information instead of solving complex issues.
Lack of actionable insights
Without deep data analysis, major customer pain points go unnoticed, preventing continuous product improvement.
Swiftask orchestrates your workflows using Relevance AI to instantly analyze complex customer data, allowing your agents to act with surgical precision.
BEFORE / AFTER
What changes with Swiftask
Traditional support
An agent receives a ticket. They must check the CRM, order history, and technical documentation separately. The response is slow, sometimes inaccurate, and the customer feels a lack of personalization.
Augmented support with Swiftask
Relevance AI instantly analyzes the ticket and customer context. Swiftask prepares a personalized response and suggests the best actions. The agent approves, and the customer receives immediate, relevant assistance.
Deploy your augmented support in 4 steps
1
STEP 1 : Connect your data sources
Link your knowledge bases and customer data to Relevance AI to train your models on your business specifics.
2
STEP 2 : Integrate Relevance AI into Swiftask
Use the Swiftask connector to call Relevance AI's analytical capabilities within your automation workflows.
3
STEP 3 : Define orchestration rules
Configure Swiftask to trigger actions based on analyses provided by Relevance AI (e.g., automatic escalation, suggested response).
4
STEP 4 : Monitor and optimize
Track the performance of your workflows and adjust AI parameters to continuously improve response quality.
Capabilities of your augmented support
Relevance AI processes unstructured data, chat history, and knowledge bases to extract customer intent and sentiment.
- Target connector: The agent performs the right actions in relevance ai based on event context.
- Automated actions: Automatic draft generation, intelligent ticket routing, insight extraction from feedback, automation of repetitive CRM update tasks.
- Native governance: Every interaction is optimized by AI while remaining under human control (Human-in-the-loop).
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-relevance-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.
Strategic advantages for your business
Personalization at scale
Each customer receives a response tailored to their context, with no extra manual effort.
Reduced resolution time
AI instantly provides the necessary information, drastically speeding up ticket processing.
Improved agent experience
Your staff focuses on complex cases, leaving routine tasks to automation.
Deep customer insights
Identify major friction points through semantic analysis of interactions.
Seamless scalability
Handle ticket volume spikes without having to hire massively.
Data security and compliance
Swiftask applies enterprise-grade security standards for your relevance ai automations.
- Secure data processing: Your customer data is processed via encrypted protocols and is GDPR compliant.
- Granular control: You maintain control over the data shared with the AI via Swiftask.
- Decision traceability: Every automation is logged for a full audit of customer interactions.
- Technological independence: The modular architecture ensures you remain in control of your technology stack.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on your support
| Metric | Before | After |
|---|---|---|
| Average response time | Several hours | A few minutes |
| Agent productivity | Linear | Multiplied by 3 |
| Customer satisfaction (CSAT) | Stable | Constantly improving |
| Automation rate | Low | High and secure |
Take action with relevance ai
Turn every interaction into a loyalty opportunity while drastically reducing resolution time.