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We just build the infrastructure that connects large language models to your live NetSuite data so the answers your team needs aren’t buried in saved searches or pivot tables. They’re a question away.
Salora combines deep NetSuite expertise with production-grade AI infrastructure, MCP servers, LLM integrations, query management, and model training, built specifically around how your instance is configured and how your team operates.
Here’s a look at what that infrastructure makes possible.
Ask questions in plain English and get answers pulled directly from your live NetSuite records. No saved searches, no SuiteQL, no waiting on a report.
Surface variance explanations, margin breakdowns, and period-over-period comparisons the moment you need them, across entities, subsidiaries, and dimensions.
Let AI continuously monitor your transactions, flag outliers, and surface anything that falls outside expected ranges before it becomes a problem.
Generate executive summaries, board-ready financial narratives, and operational digests written in plain language, sourced directly from your NetSuite data.
Draft collection follow-ups, summarize aging exposure, flag high-risk payables, and surface open items that need attention without leaving NetSuite.
Query your approval history, override logs, and intercompany activity in plain language, so compliance reviews that used to take hours take minutes.
Identify at-risk purchase orders, surface vendor performance patterns, and flag inventory anomalies before they impact operations.
Build task-specific AI agents that execute multi-step actions across your NetSuite environment, with human-in-the-loop controls where your process requires them.
Give AI a Direct Line Into NetSuite
The Model Context Protocol (MCP) is the emerging standard for connecting AI agents to live data systems — and NetSuite is no exception. We architect, deploy, and manage MCP server environments that expose your NetSuite instance as a structured, queryable context source for LLMs.
That means your AI isn’t working from static exports or stale syncs. It’s pulling live SuiteQL results, record lookups, saved search outputs, and transaction data — in real time, with role-aware access controls baked in.
What this enables:
Models That Understand How Your Business Works
A general-purpose LLM knows accounting. It doesn’t know your accounting. It doesn’t know that your “project revenue” field means something different than the standard definition, or that your healthcare clients close on a different fiscal calendar, or that certain subsidiary intercompany transactions should never surface in a top-level summary.
We close that gap through structured context tuning — building the system prompts, knowledge bases, retrieval-augmented generation (RAG) pipelines, and fine-tuning datasets that teach models your business logic, not just general ERP concepts.
What this enables:
Not every NetSuite environment is AI-ready out of the box. Data quality, field discipline, permission architecture, and SuiteScript hygiene all affect what’s possible — and how fast you can get there.
Our AI Readiness Assessment is a structured engagement that evaluates your NetSuite environment across five dimensions:
You leave with a written AI enablement roadmap, a prioritized use case list, and a clear picture of what’s buildable — and what needs to be cleaned up first.
If you have a question, the team here at Salora ERP Consulting would love to help. Submitting this form will assist us to get your question answered as soon as possible.
