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NetSuite AI Connector – build an ERP dashboard in two prompts

What if your finance team could pull a collections report, build an interactive risk dashboard, and log donated inventory – all without opening a single NetSuite menu?

This demo walks through three use cases for Oracle NetSuite's AI Connector service, which uses the MCP protocol to connect NetSuite directly to AI models including Claude, ChatGPT, and Gemini.

The demos cover a plain-English collections report with risk segmentation, a live interactive HTML dashboard written in real time by Claude, and a photo-to-inventory workflow at an NGO. Permissions are governed by existing NetSuite user roles – the AI agent can only access what your licence allows.

This video is for CFOs, finance operations managers, ERP administrators, and CIOs evaluating how AI models can interact with live business data.

What we cover:
How the NetSuite AI Connector works and what MCP enables
Creating a collections report and customer risk segmentation in plain English
Building a live interactive dashboard with colour-coded risk tiers – no pre-built reports
How the AI agent's permissions mirror existing NetSuite user role settings
Photo-to-inventory: identifying, valuing, and recording a donated asset in a single workflow
Real feedback from an Australian manufacturer already using the connector
Licence requirements – the connector authenticates through existing NetSuite user licences, no seat reduction
Availability – the AI Connector is live now for all NetSuite customers

Scale100 is a long-format interview series for CIOs, CTOs and senior technology leaders in Australia and New Zealand, covering the practical realities of implementing agentic AI and enterprise automation.

New interviews every week.

Chapters:
0:00 Cold open
0:15 Collections report demo
1:05 Interactive dashboard build
2:27 NGO inventory demo
3:33 Licences and availability

#NetSuite #AgenticAI #EnterpriseAI #ERP #AIAutomation

Видео NetSuite AI Connector – build an ERP dashboard in two prompts канала Scale100
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