PipeLedger has been reviewed and approved by OpenAI and is now listed in the app directory for ChatGPT and Codex.
The people responsible for budgets, projects and business results need access to the numbers behind them. Yet a simple financial question can still become a request to Finance, a spreadsheet export, and another request when the next question comes up.
As teams start building with AI, that friction becomes more significant. They need financial data they can use in their own analysis, workflows and internal tools, with clear boundaries around what they can access.
That's why we're launching PipeLedger for ChatGPT, starting with QuickBooks Online and NetSuite, with more systems to come.
From asking questions to building better ways of working
Every team has its own rhythm. A department might review spending weekly. A project team might need a financial update before each progress meeting. A business unit might want a monthly report with its own commentary and follow-up actions.
Those workflows don't all need to start with Finance.
PipeLedger gives teams access to their authorized financial data so they can connect their own agents and build reporting around how they work. They decide when their agents run, what they analyze, and how findings feed into the team's reporting and communication.
A department leader can still ask, "Which costs increased this month?" But the team can also build an agent workflow that checks regularly, prepares an update, and flags items for discussion.
Finance defines the financial access boundaries. Teams shape the workflows within them.
Every team runs its own AI workflows, within the scope Finance sets
PipeLedger lets administrators scope financial access by legal entity, operational segment, project and other row filters. Additional controls govern sensitive account information and identifying details.
These boundaries are enforced before results leave PipeLedger for ChatGPT.
A team can work with the financial data approved for its responsibilities, while other departments' and projects' data remain outside its authorized scope.
Finance sets the boundaries. Teams have room to work within them.
Making the connection dependable
For this to become part of everyday work, the connection needs to be dependable.
Repeated authentication, interrupted requests and slow responses can break the flow of an investigation. They also make it harder for teams to build workflows they can rely on.
Reducing that friction is a design priority for PipeLedger. We prepare ERP data for AI use through a governed financial data layer, so teams work from published datasets with a defined access scope.
The aim is to make financial context a dependable input to daily work.
Start in ChatGPT. Build from there.
The ChatGPT app gives operational leaders a familiar place to start. PipeLedger also provides access through MCP server, REST API and CLI for teams developing their own integrations and tools.
The reporting connection does not post accounting transactions back to QuickBooks Online or NetSuite, or move money.
Our goal is simple: help more people use their company's financial information productively, while keeping control over who can access what.
PipeLedger for ChatGPT brings that goal into the conversation.