Folio3 builds custom AI-to-ERP connectors as part of its NetSuite AI Connector services that let ChatGPT, Claude, Copilot, or any of your LLMs read and write to your NetSuite data in real time.
Finance managers manually sift through dozens of expense reports across multiple departments. They check each report against department budgets, flag outliers, and approve eligible expenses one by one. This is a time-consuming process that delays reimbursements and consumes hours each week.
What We Built
It would take 2-3 hours/week to approve expense reports (pull Expense Report list → open each report → cross-check department budget in a separate saved search or spreadsheet → approve or flag individually, for ~20-50 reports).
It now takes only 8-10 minutes/week to approve expense reports using the custom NetSuite AI Connector by Folio3.
Procurement managers manually review every vendor bill, check vendor status against preferred lists, and sort through multiple spend categories. They waste time approving routine office supply bills while higher-value equipment and services invoices wait in the same queue.
What We Built
It would take 1.5-2 hours/week to approve vendor bills by purchase category (filter pending bills by category → verify each vendor against the preferred vendor list → open and approve or hold individually across multiple spend categories).
It now takes only 8-10 minutes/week to approve vendor bills by purchase category using the custom NetSuite AI Connector.
Controllers manually review every journal entry. This includes routine monthly occurrences like rent, utilities, and depreciation. They waste valuable time verifying the same standardized entries each period while one-time adjustments sit in the same approval queue.
What We Built
It would take 45-60 minutes/month to approve recurring journal entries (open Journal Entry approval queue → read memo/account details to identify recurring vs. one-time entries → approve individually, typically 30-60 entries per month).
It now takes only 8-10 minutes per month to approve recurring journal entries using the custom NetSuite AI Connector by Folio3.
What We Built
It would take 3-4 hours/month to send customer statements by payment history (run A/R aging and payment history reports → export to spreadsheet → manually classify customers by payment behavior → write separate email drafts for each segment → send in batches).
It now takes only 5-8 minutes to send customer statements by payment history using the custom NetSuite AI Connector.
What We Built
It would take 2-3 hours/week to send aging-based payment reminders (run A/R aging report → sort by bucket: 30–60, 60–90, 90+ days → draft 3 different email tones → manually assign and send per bucket, often 50–100+ overdue invoices).
It now takes only 5-8 minutes to send aging-based payment reminders using the custom NetSuite AI Connector by Folio3.
Accounting teams manually remember or look up the correct GL accounts each time they create routine journal entries. For a simple rent payment, they recall the appropriate expense account and cash account, then verify amounts and posting dates. This is a repetitive process prone to accounting errors.
What We Built
It would take 10-15 minutes for a single journal entry (look up GL account codes in Chart of Accounts → recall correct debit/credit pair → manually enter memo, date, and amounts → verify and post).
It now takes 1-2 minutes to intelligently map accounts for basic journal entries using the custom NetSuite AI Connector.
Finance teams manually look up a customer’s last invoice, copy line items, verify quantities and unit prices, update the invoice date, and resend. This happens every single month for every recurring customer. This repetitive process consumes hours of manual data entry and increases the risk of pricing errors or missed billing cycles.
What We Built
It would take 8-12 minutes to generate a single recurring invoice from the previous month (navigate to prior invoice → manually note line items, quantities, unit prices → create new invoice → re-enter all fields → update date → route to contact).
It now takes less than a minute to generate a recurring invoice from the previous month using the custom NetSuite AI Connector by Folio3.
Finance teams manually segment customers by tier, select the appropriate invoice template for each group, and send invoices one batch at a time. Gold customers require VIP messaging and priority handling language, while Silver and Standard users need standard templates. This becomes a fragmented process prone to errors and inconsistencies.
What We Built
Logistics teams manually compare fulfillment records against sales orders to determine which items have been shipped and which remain pending. Creating an invoice for only fulfilled items requires cross-referencing quantities, updating line items, and ensuring billing terms apply correctly. This is a tedious process that often results in billing customers for unshipped goods.
What We Built
It would take 15-20 minutes to create a single invoice for a partially fulfilled sales order (open sales order → open fulfillment record in a separate tab → manually cross-reference fulfilled vs. unfulfilled quantities line by line → create invoice with corrected quantities → apply billing terms → route).
It now takes only 2-3 minutes to create an invoice for a partially fulfilled sales order using the custom NetSuite AI Connector by Folio3.
Procurement teams manually look up vendor preferences, search for item codes, and type procurement descriptions each time they create a purchase order (PO). For routine office supply orders, staff waste minutes per PO recalling frequently ordered items and quantities, only to discover they missed approval routing requirements.
What We Built
It would take 20-30 minutes to create a single purchase order (search preferred vendor history → look up item codes and descriptions → look up current inventory levels → manually enter each line item with quantities and pricing → check approval routing requirements → save).
It now takes only 3-5 minutes to create a single purchase order with intelligent item suggestions via the custom NetSuite AI Connector.
Sales reps manually bridge the entire order flow. They listen to WhatsApp voice notes, check stock in NetSuite, create the sales order, assign inventory location, and send confirmation, while the next voice note is already in line.
What We Built
It would take 10-15 minutes to create a single NetSuite sales order from a WhatsApp voice note (listen to voice note → manually transcribe order details → check stock availability in NetSuite → create sales order → assign inventory location → send confirmation separately).
It now takes only 3-5 minutes to create a NetSuite sales order from a WhatsApp voice note.
A retail ops team spends hours every week pulling return data from multiple NetSuite modules, compiling it by hand, and trying to spot trends before they hit the P&L. By the time a pattern is visible, the damage is already done.
What We Built
It would take 4-6 hours/week to manually review returns (pull return data from multiple NetSuite modules — RMA, sales orders, items → export to spreadsheet → manually categorize by return reason → build pivot tables → write summary).
It now takes only 7-10 minutes/week to automatically review returns using the custom NetSuite AI Connector developed by Folio3.
What We Built
It would take 3-5 hours per email campaign (export customer list from NetSuite → manually segment by behavior/history → write personalized email variants in a separate tool → send in batches → manually log communication back into NetSuite records).
It now takes only 5-10 minutes per email campaign using the custom NetSuite AI Connector.
Sales managers manually review hundreds of pending orders by filtering through customer tier and order value. They identify which orders meet approval criteria, separate exceptions, and process approvals one by one. This slows down fulfillment for top-tier customers.
What We Built
It would take 1.5-2 hours/session to approve sales orders by customer tier (filter pending sales orders → manually check each order’s customer tier and order value → open and approve individually → route exceptions to review queue, often 50–200+ orders in the queue).
It now takes only 4-5 minutes/session to approve sales orders by customer tier in bulk using the custom NetSuite AI Connector by Folio3.
Sales reps manually toggle between screens to create a customer profile, look up item codes, enter line items, calculate totals, and select shipping methods, all while a prospect waits on the phone. By the time the order is entered, the rep has lost conversational flow and risks transcription errors.
What We Built
It would take 10-15 minutes to generate a single sales order during the call (while keeping the prospect on the call: manually check if customer profile exists in NetSuite → create profile if missing → search item codes one by one → manually enter each line item with quantity and unit price → calculate order totals → select shipping method → submit for approval → all while context-switching between 4–6 different NetSuite screens).
It now takes only 2-4 minutes with 4 conversational exchanges without leaving the call or switching screens to create a sales order during the call using the custom NetSuite AI Connector.
Folio3 has been a NetSuite partner for over two decades. We’ve delivered custom solutions to more than 500 customers across manufacturing, retail, wholesale distribution, automotive, and other industries.
Week 1-2
This is the most critical phase. Folio3's NetSuite architects and AI engineers conduct structured sessions with your team to document the:
The output of this phase is a signed-off Workflow Specification Document that defines every tool the connector will expose, the inputs each tool accepts, the NetSuite API calls it makes, and the expected outputs.
Week 2-3
Our engineers design the MCP server architecture specific to your NetSuite environment. This includes:
Week 3-6
In the NetSuite AI Connector development and integration phase:
Week 6-8
In the final phase of the Custom NetSuite AI Connector development, your team runs User Acceptance Testing against the sandbox using the actual AI assistant. We, on the other side:
Once UAT is signed off:
NetSuite AI Connector Service is a protocol-driven integration service that uses model context protocols (MCPs) to give NetSuite users a flexible means to connect their own AI to NetSuite ERP.
MCP or Model Context Protocol is an open standard developed by Anthropic that lets AI assistants connect to live data sources. Think of it as a USB-C port for AI. It’s one standard way for Claude, Copilot, ChatGPT, and other LLMs to read and write to your NetSuite data. Without MCP, your AI tools are blind. With it, they can see your actual orders, inventory, and customers.
The NetSuite AI connectors run in your AI assistant’s environment. It never touches our system. Your NetSuite credentials stay in your infrastructure.
Any assistant that supports MCP, like Claude, ChatGPT, Copilot, Qwen, and others. We’ll help you set it up regardless of which assistant you use.
You need to provide us with three things:
You’ll need API access to your AI assistant. You’ll also need any third-party APIs your workflow requires. We’ll list everything upfront.
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