ChatGPT Plugin

InvoiceIQ

Code and post vendor invoices

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

InvoiceIQ turns supplier invoices into coded, verified, ERP-ready vendor bills. In ChatGPT you can upload an invoice PDF, follow its processing, read the extracted header and GL-coded lines, ask why a line was coded the way it was, check the purchase-order match report, and run plain-English spend questions across your invoice history. When an invoice is complete and matched you can post it as a vendor bill: InvoiceIQ shows the exact bill first and posts only after you confirm. All data is scoped to your organization and role and every action is audited. Works with NetSuite and a generic ERP connector.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-10-08
Tool count: 18
Geography: US

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Primary Subcategory

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Tools

18 tools agents can invoke

Why a line item was coded the way it was: method, reasoning, business rule, and the vendor's active rule.
explain_coding_decision
Your dashboard numbers (invoices processed, lines classified, average confidence, pending, needs attention) plus organization-wide KPIs and the top vendors.
get_kpi_summary
The canonical data model (CDM Objects page): documents, canonical objects, fields and what each field is linked to in the connected ERP.
get_cdm_schema
Header, coded line items and the latest match result for one invoice (by invoice_id).
get_invoice
Match reports (2-way/3-way checks, policy, outcome) for an invoice. Matching runs when a bill is posted, so an invoice that has never been posted has no report yet; there is no separate match step to run.
get_match_report
Processing status/progress of an uploaded invoice (session id = invoice_id).
get_pipeline_status
One purchase order with its lines, goods receipts and the bills already raised against it.
get_purchase_order
Billing composition rules grouped by decision: where charges post (Items/Expenses tab), which lines are billed, what the bill is drawn from. Optional kind filter.
list_billing_rules
Vendors on the coding engine with their active rule (plain-English rule, signal, validation state). Optional vendor_id filter.
list_coding_rules
Bill-header rules (the Global Billing Rules page): every version with its plain-English rule, field and status. Global set by default; pass vendor_id for a vendor's overrides.
list_header_rules
List processed invoices in your organization (your own unless your role can read all). Filters: status, vendor substring, ISO date range, limit (max 200).
list_invoices
Vendor bills posted from InvoiceIQ, most recent first, with their lines and match outcome.
list_posted_bills
The registry of bill header/line fields (built-in plus custom) that header rules can set.
list_posting_fields
Every attempt to post a bill to the ERP, most recent first: who, which invoice, outcome, bill id, match policy. Optional invoice_id filter.
list_posting_log
Purchase orders in the connected ERP: number, vendor and total.
list_purchase_orders
Post a completed invoice to the ERP as a vendor bill. DESTRUCTIVE and not reversible here: without confirm=true it only returns a preview and a confirmation_required error. Show the preview to the user and call again with confirm=true. The match policy (2-way/3-way) runs as part of posting and the ERP refuses bills whose PO is not billable (e.g. goods not received); the result reports the match outcome.
post_bill
Ask a question about invoice spend in plain English. Runs a read-only, validated SQL query over the analytics tables of your organization.
search_invoices
Upload a PDF (base64) to run the extraction/coding/verification pipeline. Returns the invoice_id to poll with get_pipeline_status.
upload_invoice

FAQs

InvoiceIQ ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve InvoiceIQ's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.