AI finance ERP matrix

What your current ERP can already do for finance, before you buy a specialist tool or build your own agents.

Vendor neutralIndependent guidance
Finance ledBuilt by finance operators
StrategicAligned to business stage
ActionableDecision focused insight
Start with what you have. Asking your ERP support team what AI and automation your current system already offers is a natural early step in any finance AI roadmap. The selections below give a high level view of what the leading ERP platforms can do today.

Enterprise

Large organisations with complex planning, multi entity reporting and deep integration needs.
SAP S/4HANA
SAP S/4HANA
The deepest system for large, complex global organisations. Its packaged Joule finance assistants roll out through 2026: close, receivables, billing and tax first, with treasury and planning following through phased releases. Setup remains expensive and takes time.
Global enterprise depth
Oracle Fusion
Oracle Fusion
One of the broadest agent sets, spanning AP, general ledger analysis, expenses and the close. Some of it is still maturing, and it carries enterprise weight and cost.
Broad agent set
Workday
Workday
Strong on planning and forecasting, with an agent that works like a digital analyst and detailed controls over its AI. But treasury and cash trail SAP and Oracle, and pricing is firmly enterprise.
FP&A strength

Mid market

Scaling businesses needing structured planning, forecasting and operational finance workflows.
NetSuite
NetSuite
A practical cloud system for mid market, strong on AP and the close through Bill Capture and Intelligent Close Manager. You can also link with your LLM of choice. But its best planning and reconciliation agents sit in EPM, a separately licensed add on.
Practical cloud suite
Dynamics 365
Dynamics 365
Naturally a good fit for Microsoft centric organisations. Finance Agent works across Excel, Outlook and Microsoft 365 Copilot, with reconciliation in Excel and collections in Outlook. Dynamics 365 Finance separately provides AI assisted invoice capture. Several capabilities remain in preview, and Finance Agent is currently US English only.
Microsoft centric
Sage Intacct
Sage Intacct
Its assurance agent catches errors before they post and its close agent keeps things on track, quicker to set up and cheaper to run than the big suites. However, it has less global enterprise depth, with lighter treasury and cash functionality.
Balanced mid market

AI native

Newer, ledger first platforms built around AI from the ground up. Lighter on AP, AR and treasury than the big suites.
Rillet
Rillet
The most enterprise proven of the three, with an EY alliance and customers up to public company scale. Its real time ledger keeps the books continuously accurate, automating the close, reconciliations and revenue recognition.
Enterprise proven
Campfire
Campfire
Built on its own AI model, trained on accounting data. It provides source attribution and an audit trail for every AI action, and is strongest on complex SaaS revenue across subscription, usage and ASC 606.
Accounting trained AI
DualEntry
DualEntry
The fastest to switch to: data in within 24 hours and live in four to six weeks, with 13,000 bank connections and, on its own numbers, around 90 percent of manual work automated across multi entity books. Built for teams outgrowing QuickBooks, though the newest and least proven of the three. Runs in US and EU regions.
Fastest to switch
Why no small business accounting software. We have left out small business accounting software like QuickBooks, Xero and Sage Business Cloud. Their AI is moving toward agentic, with QuickBooks furthest along, but it is still bookkeeping and admin automation rather than core finance agents. For smaller teams, the more genuinely agentic route may be third party agents, such as Basis, that sit on top of QuickBooks or Xero.
Independent guidance for CFOs & Finance leaders
An independent, practitioner led view of the AI and automation built into category leading ERPs, not an exhaustive guide. Inclusion isn’t necessarily an endorsement, the right fit depends on your size, sector, current system and how regulated you are.
Need help choosing the right route?
Let’s discuss your finance structure and where AI can add value.
Start with a call How we curate this matrix