Hi there,
This release marks a major milestone in Nexadata’s agentic AI copilot: advanced Mapping Groups now support conditional business logic written in plain English.
Simply describe your business rules using everyday language with “if,” “then,” “or,” and “otherwise,” and Nexadata translates your intent into structured mapping logic that models your organization’s data rules with precision.
For example, you might say:
These conditions are automatically structured into Mapping Groups, ensuring your transformation rules remain transparent, traceable, and aligned with business intent without requiring technical expertise.
Before Nexadata executes your instructions, the AI now creates a plan — a clear and structured outline of how your inputs will be interpreted. You can review, modify, and approve this plan before execution to ensure it aligns with your business logic.
This new human-in-the-loop validation step encourages collaboration between domain experts and AI, making every transformation explainable and auditable. Users can iterate naturally with Nexadata, such as “Refine the rule to include inactive accounts only if the status is archived.” The AI adjusts and resubmits the plan for review, creating a transparent and iterative design process.

Every AI-built Pipeline now includes a Prompt Overview that summarizes the information and decisions that shaped its construction.
This overview supports audit readiness, traceability, and compliance logging by showing exactly what context, instructions, and logic informed the final output.

Nexadata introduces a new “any” mapping type that simplifies rule creation and removes the need for complex fallback logic.
With “any,” users can create broad conditional mappings without chaining or redundant rules. This makes logic easier to read, reduces duplication, and improves reliability in AI-generated mappings.
Example:
If any product category is missing, then map to “Uncategorized.”
To make Nexadata even more intuitive, we’ve streamlined our data types for clarity and consistency across all interfaces.
These changes simplify schema design and make data modeling easier for all users, technical or not.
We’ve introduced a new Quick Start Guide featuring the Nexadata AI Copilot. Learn how to connect, map, and harmonize your data in under 10 minutes. Follow step-by-step examples that show how to use natural language to define business logic, review AI-generated plans, and validate transformations with confidence.
We’re building the App Connector Copilot, expanding Nexadata’s agentic AI to directly access data from a wide range of business applications.
Business users will be able to simply provide their access credentials and describe their data needs in plain English. Nexadata will then connect, clean, and unify datasets across systems automatically, making it easier than ever to bring together business data from multiple sources without technical setup.
Thanks for being part of the Nexadata journey.
— The Nexadata Team