Teamcamp is a project and task management tool that allows teams to collaborate effectively. With Relevance AI, you can automate project creation and task assignments, transforming your management processes into smart, AI-driven workflows.
Teamcamp streamlines project and task management, while Relevance AI empowers you to automate complex workflows and leverage AI Agents for enhanced collaboration and efficiency.
Predictive Project Orchestration
AI agent analyzes historical data to forecast project timelines and potential bottlenecks before they occur
Proactive Risk Mitigation
Agent identifies potential project risks by analyzing patterns across tasks, timelines, and team performance
Strategic Insight Generation
Agent transforms project data into actionable insights for better decision-making and resource planning
Relevance AI integrates seamlessly with Teamcamp, enhancing your project management workflows with intelligent automation.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Teamcamp account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration between Teamcamp and Relevance AI utilizes a robust API interface to automate project and task management seamlessly. With this integration, you can programmatically create and manage projects and tasks in Teamcamp, making it perfect for automated workflow management and enhancing team collaboration.
Key benefits include automated project creation and management, streamlined task assignment and tracking, secure OAuth-based authentication, and RESTful API integration capabilities.
To get started, ensure you have the necessary accounts and credentials, including a Teamcamp account with administrative access, a Relevance AI account, and OAuth credentials for Teamcamp. Additionally, your environment should support Node.js 12.x or higher and be HTTPS-enabled.
Installation is straightforward: simply install the Relevance AI client using npm, configure OAuth authentication, and initialize the API client. Once set up, you can create projects and tasks with ease, as demonstrated in the quick start guide.
For troubleshooting, common issues include authentication errors, project creation failures, task creation issues, and API rate limiting. Solutions are provided for each scenario to help you resolve them quickly.
Best practices include validating input data, implementing error handling and logging, using environment variables for sensitive credentials, caching frequently accessed data, and implementing retry logic for failed requests.
For further assistance, refer to the Teamcamp API Documentation, Relevance AI Documentation, community forums, or contact technical support at support@relevance.ai.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
