AI Agents That Work for You
Autonomous agents that don't just answer questions — they monitor your data, surface anomalies, generate commentary, and take action. With human approval gates at every step.
Request a DemoAll 20 automations ran overnight — 18 completed clean; 2 flagged for review (3 journal anomalies + an expense policy exception). Headline runs:
| Automation | Status | Time |
|---|---|---|
| KPI digest | Done | 0:41 |
| AR aging | Done | 0:28 |
| Anomaly scan | Flagged | 0:57 |
| Board pack | Done | 1:12 |
All 20 automations ran overnight — 18 completed clean; 2 flagged for review (3 journal anomalies + an expense policy exception). Headline runs:
| Automation | Status | Time |
|---|---|---|
| KPI digest | Done | 0:41 |
| AR aging | Done | 0:28 |
| Anomaly scan | Flagged | 0:57 |
| Board pack | Done | 1:12 |
Specialized agents for every task
Conversational Analyst
Your AI-powered senior data consultant specializing in financial analysis. Ask questions in plain English, get analysis grounded in your NetSuite data.
ReAct Agents
Reasoning + acting in iterative loops. The agent thinks through the problem, takes an action (query, calculate, research), observes the result, and repeats until it reaches a conclusion.
Supervisor Agents
Orchestrate multiple sub-agents for complex multi-step tasks. A supervisor breaks down a request into sub-tasks, delegates to specialist agents, and synthesizes the results.
Tool-Chaining Agents
Combine SuiteQL queries, Python analysis, web research, and email delivery in a single workflow. One agent, multiple tools, complete automation.
NS-GPT (NetSuite Specialist)
Purpose-built agent with deep NetSuite domain knowledge. Understands NetSuite data models, SuiteScript conventions, and financial accounting context.
Ask in plain English. Get analysis.
No SQL. No saved searches. No NetSuite PhD required.
Example queries
How it works
You ask a question in natural language
The agent converts it to optimized SuiteQL
Results are returned with auto-generated visualizations
The agent offers follow-up analysis based on what it found
From question to insight in seconds
Context Building
Agent loads relevant NetSuite data, business rules, and historical patterns
Analysis
Executes SuiteQL queries, runs Python calculations, references domain knowledge
Insight Delivery
Generates commentary, visualizations, and recommendations
Action
Sends reports, flags anomalies, or queues actions for human approval
One agent. Multiple tools. Complete automation.
Agents chain together different capabilities in a single workflow — no manual hand-offs between tools.
Example workflow
SuiteQL
Query your NetSuite AR aging data
Python
Calculate collection probability by aging bucket and forecast cash impact
Web Research
Check customer credit ratings and industry benchmarks
Send a cash position summary to the CFO with recommended collection actions
AI you can trust
Every agent action is logged, explainable, and subject to human oversight.
Approval gates
Sensitive operations require human sign-off before execution
Show your work
Every analysis includes the underlying queries, data sources, and reasoning steps
Grounded outputs
Answers cite the specific NetSuite records and queries behind them
See agents in action
Book a personalized demo to see how NSGPT agents analyze your NetSuite data autonomously.