Intelligent automation is where NetSuite’s AI features stop being individual tools and start reducing the number of manual steps in a process end to end. This page is part of our AI in NetSuite series.
What “Intelligent” Adds to Automation
Traditional NetSuite automation, such as workflows and scripts, follows rules you define explicitly. Intelligent automation layers AI on top: it can read a document, classify a request, draft a response, or predict a value, and then feed that result into a rule-based workflow. The combination lets you automate steps that used to require human interpretation, while keeping deterministic rules where you need certainty.
Example: Routing an Incoming Bill
Bill Capture reads an incoming vendor bill and extracts the amount. A workflow then routes it: bills under a threshold auto-approve, while larger ones go to a manager. The AI handled the interpretation (reading the PDF) and the workflow handled the policy (approval routing). Neither piece alone would remove the manual work; together they do.
A Real-World Scenario: Support Case Triage
A software company received hundreds of daily support cases. They used generative AI to summarize each incoming case and suggest a category, then a workflow assigned the case to the right queue and drafted a first-response template for the agent to review. Agents kept full control of what was sent, but the triage that used to consume the first hour of every shift largely disappeared.
Good Practices
Keep humans in the loop for anything with financial or customer-facing consequences, and design clear fallbacks for when the AI is unsure. Start with one narrow process, measure the time saved, and expand. Validate the specific building blocks available in your account against the current NetSuite documentation.