Fast and secure data onboarding is probably at the top of your priority list. You might assume that using AI to speed things up means sacrificing data security, but CloverDX proves that's not the case. The CloverDX platform leverages AI in multiple ways to accelerate your onboarding workflows while keeping your sensitive data protected and compliant.
Let's explore how you can use AI in CloverDX to speed up data onboarding without compromising security.
The AI Assistant in CloverDX Wrangler lets you describe what you want in plain English. For example, you can simply say "normalize invoice GBP and CNY transactional data amounts to USD, whilst filling in missing customer IDs", and CloverDX will generate the recommended transformation steps for you.
You'll spend far less time manually designing transformation workflows
You can reduce trial-and-error coding across your business
Business users or less technical team members on your team can contribute directly to data onboarding projects
No. The AI primarily interacts with metadata and transformation logic, not your actual raw data. All processing happens within your CloverDX environment, so your sensitive information stays fully protected and compliant with your security policies.
Auto-mapping features aren't new, but CloverDX takes this much further. AI can automatically analyze your source data structures and intelligently suggest schema mappings to your target systems, drastically reducing the need for you to manually drag-and-drop to define columns, types, and relationships across multiple sources.
You can automatically generate accurate schema mappings, saving yourself hours of manual drag-and-dropping when you're onboarding new datasets or new clients into your system.
This is because the mapping suggestions are based on metadata analysis, so your sensitive raw data isn't exposed externally. All AI processing occurs within your CloverDX environment.
The MCP for CloverDX Server lets you quickly assess the health of your data jobs, servers, logs, and configurations simply by asking questions in a desktop AI client like ChatGPT or Claude. Instead of manually searching through logs or dashboards, you can use AI to surface insights and pinpoint issues in seconds.
You'll eliminate time spent manually reviewing logs and server metrics
You can speed up root-cause analysis by letting AI analyze large volumes of diagnostic data
You'll reduce downtime by identifying issues earlier in your onboarding process
No. This feature runs on an MCP for CloverDX Server which operates within your CloverDX environment or alternatively, a free locally hosted proxy (available via the customer portal). This ensures that all your diagnostic data remains secure and under your control.
If you're handling sensitive or regulated data, you can deploy AI models locally, ensuring that no data is transmitted externally. This is particularly ideal if you're working with PII, financial records, or healthcare data that must remain 100% private.
You'll avoid delays caused by security reviews or restrictions on cloud data sharing
You can experiment faster and test transformations on sensitive data
You keep all AI processing and outputs within your controlled environment, instead of sending data to the cloud
No. Using a locally hosted model ensures that all your AI-assisted quality checks happen within your CloverDX environment, keeping your sensitive data private and compliant.
CloverDX offers you multiple AI-driven methods to speed up data onboarding — from natural language assistants and complex data mapping to local AI models and AI-powered data quality checks. Each method is designed to maximize your efficiency while keeping your sensitive data secure, helping you onboard data faster, more accurately, and safely.