About ChatFin. One Platform for Every Finance Function












Five colleagues wearing headsets standing together in an office

About ChatFin · Built for the CFO team

One platform.
Every finance function.

ChatFin is an AI agent platform for enterprise finance. It works inside the ERP you already run, and a named person approves every posting.

Key takeaways
  • ChatFin is an AI agent platform for enterprise finance. It reads and writes through the interfaces your ERP vendor publishes, and a named person approves every posting.
  • One platform covers the month end close, reconciliation, payables, receivables, treasury, tax and reporting, so a team stops running a product per function.
  • Replacing 10 disconnected finance tools is an argument about one system of record, one permission model and one audit trail that exports.
  • Six principles settle the product arguments. Auditability, accuracy before speed, working inside the ERP, implementation measured in weeks, return visible in the first close, and finance keeping control of every approval gate.
  • ChatFin connects to NetSuite, Acumatica, JD Edwards, SAP, Dynamics 365, Oracle Fusion and Sage Intacct, with no rip and replace and no parallel copy of the ledger.

ChatFin is an AI agent platform for enterprise finance. It runs inside the ERP you already own, reads live general ledger, payables, receivables and cash data through governed published interfaces, prepares the work a finance team would otherwise do by hand, and routes every posting to a named approver. Nothing reaches the ledger without that approval.

This page sets out what the platform covers, why the company exists, the principles behind the product decisions and the ERP systems it connects to. It also names the conditions where ChatFin underperforms, because a platform that only describes its good day is impossible to plan around.

CompanyAI AgentsEnterprise FinanceERP IntegrationMonth End CloseControllershipAudit TrailFinance Operations

01

One platform. Every finance function.

ChatFin runs the finance functions that take the most people the most time, in one platform rather than one product per function. The same agents work across the month end close, transaction matching, payables, receivables, treasury, tax and reporting, against the same ERP, under the same permissions, into the same log. The work does not respect the boundaries between products. A short payment is a receivables problem until it becomes a reconciliation difference, and then a question the controller answers in the close.

Finance function What the agent prepares What a person approves
Month end close Accrual proposals with the basis shown, intercompany checks run before day one The entries, before anything posts
Reconciliation Bank to ledger matching, subledger tie out, an exception queue with reasons The clearing of each exception
Accounts payable Coding proposed from history, 3 way matching, duplicates caught before the payment run The voucher, the hold or the release
Accounts receivable Cash application against open invoices, short payment reasons, a chase list by value and age The application and any write off
Reporting Variance commentary with the drivers named and each figure traced to the ledger rows behind it The commentary, before the board pack

One item, moving through that. A customer pays a remittance covering forty invoices. Three are short and the advice carries no invoice numbers.

1

What the agent reads

The open receivables ledger, the payment, the remittance advice and the credit memos raised against that customer in the period.

2

What it prepares

Thirty seven exact applications, three partial applications with the shortfall quantified, and a note naming the credit memo that explains two of them.

3

What it does not decide

The third shortfall has no supporting document, so it stays open with the evidence attached rather than forced into a match to clear the queue.

4

What the person does

Approves, decides the last item, and the approver and reasoning are recorded against the transaction.

In ChatFin

ChatFin prepares the work and a named person approves every posting. The agent holds no authority nobody granted it, and the finance team sets the approval gates.

02

Replace 10 tools. One platform for all finance operations.

Most finance teams did not choose a stack. They accumulated one. A reconciliation tool arrived for bank matching, a close product for the checklist, a payables product for invoice entry, each correct on the day it was bought. Together they create a category of work nobody was hired to do.

Every product keeps its own copy. Each tool pulls an extract and drifts from the ledger between refreshes, so which number is authoritative becomes a recurring argument.
Reconciling the tools becomes its own job. The checklist says the subledger agrees, the reconciliation product says it does not, and somebody spends a morning finding out which one is stale.
Approvals scatter. One sits in the payables product, one in an email thread, one in the ERP, and at audit the evidence is assembled by hand from systems never designed to be read together.
The consolidation argument rests on one system of record, one permission model and one audit trail that exports.
A person typing on a laptop beside cash and a calculator
The work created by disconnected finance products rarely appears on anyone’s job description.
In ChatFin

ChatFin is additive to close management platforms, capture tools and integration platforms, and it replaces them where a team would rather run one system. Which answer applies depends on what is already working.

03

Finance operations has a software problem, not a people problem

Finance teams at mid market and growth stage companies are among the most capable operators in the business. They absorb audit pressure, manage complexity nobody else wants to look at, and close the books every month regardless of what the rest of the company sends them in the last week.

The tools were designed for a different era. Point solutions that do not integrate. Manual reconciliation steps unchanged in a decade. ERP systems holding every figure needed to answer a question, with no way to answer it without a person driving each step. ChatFin was built to close that gap.

An ERP already holds what is needed to explain a variance, catch a duplicate and propose an accrual. What it lacks is anything that will do the reading. That is the gap ChatFin fills.
04

The principles that drive product decisions

Every design choice at ChatFin traces back to one question. Does this make the finance team’s actual job better? Six principles settle the arguments where the answer is not obvious.

Auditability is not optional. Every agent action logs the request, the rows read, the reasoning, the payload and the approver. We do not ship automation you cannot audit.
Accuracy before speed. Agents stop and escalate when confidence falls below the threshold, rather than guessing and continuing. The controller sets that tolerance.
Work inside the ERP. The ERP is the system of record, so agents read and write through published interfaces instead of extracting your data into a parallel store.
Implementation measured in weeks. Deployments are scoped one process at a time so the first is live before the next close, rather than a programme that runs for quarters before anything works.
Return measurable in the first close. Success metrics are agreed before implementation starts and reported against afterwards. If nothing shows in the first month end close after go live, better to find out then.
Finance teams stay in control. Every workflow carries configurable approval gates and human override points. The human in the loop is a design requirement, not a setting somebody can switch off.
In ChatFin

These are also the questions worth putting to any vendor, including ChatFin. Ask to see a log export, ask what happens when confidence is low, and ask which interface the write goes through.

05

Connects to the ERP you already run

ChatFin operates inside your existing ERP environment. No rip and replace, no migration, no warehouse copy in the transaction path. Each connection uses the interface the ERP vendor publishes and supports, which keeps an upgrade to a repoint rather than a rebuild.

ERP How the connection reads and writes
NetSuite SuiteQL and SuiteTalk REST against the transaction records, plus saved searches for reads a team already trusts
Acumatica Contract based REST endpoints for writes, generic inquiry OData feeds for analytical reads
JD Edwards EnterpriseOne Application Interface Services and published orchestrations, reading F0411 and F0911 under the requester’s own role
SAP RFC enabled BAPIs, which do not auto commit and create parked documents for release through SAP workflow
Dynamics 365 Finance and Operations service interfaces, with the ERP security model applied rather than flattened into a shared account
Oracle Fusion REST for transactional work, the file based import for volume loads
Sage Intacct The XML gateway and the Web Services API

Connection detail per system sits on the ERP integrations page, and the category argument behind it in ERP AI agents.

In ChatFin

Additional connections run through published APIs, and on premise and hybrid configurations are supported. Your ERP version changes what is possible, so we answer that per instance rather than in a brochure.

06

Where ChatFin fits, and where it underperforms

The platform earns its place where the exception tail spans several processes at once. Payables holds a duplicate, receivables holds an unapplied payment, the close holds the difference both created, and no single point product sees all three.

It depends on usable master data. Supplier and customer records that are duplicated or half maintained limit what any agent can propose, because the matching has nothing stable to work on.
It depends on a governed write interface. Where the ERP has no supported way to write, the platform prepares and evidences the work but a person still keys the posting. That is worth less, and worth saying before a contract.
It is not a document capture tool. If the whole bottleneck is turning scanned invoices into structured fields, a capture product is cheaper.
It does not replace the ERP. The ledger stays the system of record, and no custom object is added to the application layer.
Where master data and a governed write interface are both missing, the honest answer is that ChatFin underperforms. We say so during evaluation, because finding out in month three costs everybody more.
A person holding a printed report of pie and line charts
The interface a platform writes through decides what survives your next ERP upgrade.

Agents execute and finance leaders decide. An agent holds no authority somebody did not explicitly grant it, and that order does not change as the product gets better.

Ashok Manthena

Where to go next

This page covers the company and the principles. The product detail and the partner routes sit one level down.

Product

Agents by finance function
What the agents prepare across reconciliation, payables, receivables, close and reporting.
Connection

Seven ERP systems, seven published interfaces
Which interface each connection uses, and what it means at your next upgrade.
Partners

Solution and technology partners
Firms that resell and implement ChatFin, and products that integrate with it.

For the platform itself, see ChatFin products. For the two areas finance teams ask about first, see reconciliation automation and accounts receivable automation. For the wider argument, see finance automation and AI for controllers. To work with us, see solution partners.

Questions finance teams ask first

What does ChatFin do?

ChatFin is an AI agent platform for enterprise finance. It works inside the ERP a company already runs, reading live general ledger, payables, receivables and cash data through the interfaces the ERP vendor publishes. The agents prepare reconciliations, invoice coding and matching, cash application, accrual proposals and variance commentary, then route each one to a named approver with the evidence attached. One platform covers the close, reconciliation, payables, receivables, treasury, tax and reporting.

Which ERP systems does ChatFin work with?

NetSuite, Acumatica, JD Edwards EnterpriseOne, SAP, Dynamics 365, Oracle Fusion and Sage Intacct. Each connection uses the interface that vendor publishes and supports, for example SuiteQL and SuiteTalk REST on NetSuite, contract based REST on Acumatica, Application Interface Services and Orchestrator on JD Edwards, RFC enabled BAPIs on SAP, and the XML gateway on Sage Intacct. There is no migration and no copy of your ledger held in the middle. Your ERP version changes what is possible, so that question is answered per instance.

Do the agents post to the ledger on their own?

No. An agent prepares the work and a named person approves it, and that approval is a design requirement rather than a setting that can be switched off. Every action produces a log entry carrying the request, the rows read, the reasoning, the payload and the approver, and that log exports for audit. Where confidence falls below the threshold the controller set, the agent stops and escalates instead of guessing.

See ChatFin working in your ERP

Bring your worst exceptions. Those are the ones that decide it.

A demonstration on vendor data proves the product works on vendor data. The useful version runs against your own population, on the close cycle and the ERP you actually have.

ChatFin will tell you where it fits and where it does not. If your master data is thin or your ERP has no governed write interface, that shows up in the first conversation rather than in month three of an implementation.

Ask to see a log export and a write in a test environment. Those two requests separate a shortlist faster than any feature comparison.

Book a demo

AM

Ashok Manthena
CEO and co founder, ChatFin

Ashok Manthena is the CEO and co founder of ChatFin, an AI agent platform for enterprise finance that runs across NetSuite, Acumatica, JD Edwards, SAP and Dynamics 365. He works with CFOs and controllers on governed automation of the close, payables, receivables and reporting. Connect on LinkedIn.

Image credits. Header photograph: five colleagues wearing headsets standing together in an office, sourced from Pexels and used under the Pexels licence.
Section photograph: a person typing on a laptop beside cash and a calculator, sourced from Pexels and used under the Pexels licence.
Section photograph: a person holding a printed report of pie and line charts, sourced from Pexels and used under the Pexels licence.
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Thirty minutes, on your close cycle.

Tell us your ERP, the processes that cost your team the most time and the exceptions that keep coming back. We will show what ChatFin prepares and what you would still approve.

A walkthrough on your ERP and your close cycle
A sample evidence export, not a description of one
A straight answer on whether your bottleneck is the one we fit
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