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NOVA: Building Agentic Workflows for Structured Data Intelligence at Nexla

Date: April 10, 2025

Speaker:

Noel Nebu Panicker

AI Engineer at Nexla

Watch the Talk#

Talk Recap#

In this talk, Noel introduced NOVA, Nexla's AI-powered co-pilot designed to address one of the toughest challenges in enterprise environments: integrating scattered data across diverse tools, systems, and formats.

Built on an agentic foundation powered by AG2, NOVA simplifies how both technical and non-technical users can build and manage complex data workflows.

Solving Enterprise Data Complexity with NOVA#

A central concept behind NOVA is the need to ground AI outputs in real, production-grade data. Noel explained how Nexla’s metadata intelligence layer powers NOVA with rich contextual awareness — including field types, sample values, and data relationships — reducing hallucinations and enabling safe, data-aware code generation and seamless API integrations.

Intelligent Data Mapping & Extraction#

NOVA also functions as an intelligent translator, capable of:

  • Mapping messy, inconsistent inputs into structured, enterprise-standard models.
  • Accelerating data onboarding and transformation processes.
  • Extracting structured information from unstructured sources like emails and scanned documents using models such as Pixtral and GPT-4.

How NOVA Operates#

Noel shared a breakdown of NOVA’s agentic workflow architecture:

  • Initializer Agent: Sets up the transformation requests.
  • Planner Agent: Converts user intent into a series of actionable tasks.
  • Query Interpreter Agent: Maps these tasks to specific data transformations.
  • Structured Extraction Workflows: Extract structured data from unstructured inputs.

The system is metadata-driven, supports real-time updates through Server-Sent Events (SSE), and is designed for explainability, control, and traceability.

Real-World Impact#

NOVA has already demonstrated significant value:

  • 📈 10% increase in pipeline creation rates since launch.
  • Reduction in partner onboarding time from 6 weeks to 2 days.
  • 🔒 Enabled the creation of secure, governance-friendly private data marketplaces for non-technical users.

These outcomes point toward a promising future for AI-native, data-driven enterprise operations.

Discover More#

Curious about how all of this comes together? The full user story is captured in the Unlocking the Power of Agentic Workflows at Nexla with AG2 section of this document. Be sure to check it out.