90% less invoicing work. What does that mean for the firms behind the ledger?

In 2026, one business cut its monthly invoicing work by 90%. Pete Horder and Jillian Chi’s session at The AI in Practice Summit starts from that result and looks ahead to 2027.

The session’s focus is agentic machine-to-machine sales. The National AI Centre’s Guidance for AI adoption defines an AI agent as an “Automated entity that senses and responds to its environment and takes actions to achieve goals.” The session looks at what happens when those agents start buying and selling.

For accounting firms, the invoice is where a sale becomes a record in the client’s books. A change in how invoices are produced flows through to the client ledger and the receivables process.

The headline figure is a 90% reduction in monthly invoicing work in 2026. How the business achieved it is what the session covers.

For a firm, the useful detail is where the 90% came from. Work removed from creating invoices affects a client differently from work removed from following up payment. Each one changes a different part of the books an accountant reviews.

The Guidance for AI adoption is direct about autonomy. Systems that operate “independent of meaningful human engagement or oversight, may increase risks if they fail or are misused.”

The guidance adds: “Risk further increases when there is a considerable period of time between the failure or malicious use happening and the harm being recognised by responsible parties.” For accountants, that period can run until the books are reconciled.

Practice 6 of the guidance sets the expectation for any organisation using AI: “To responsibly use AI, organisations need to make sure a human appropriately oversees any AI systems in use.” When software is making and settling sales on a client’s behalf, the person checking the ledger is part of that oversight.

The session also looks at the impact of agentic sales on downstream financial platforms. For firms, the platforms that matter most are the ones they work in every day: the ledger and the systems that feed it.

Whether those platforms are ready for sales made between AI agents is part of what Pete and Jillian explore.

the value chAIn - what will it look like when AI is processing payments

Pete Horder, Co-founder of SubSync, and Jillian Chi, Partner Solutions Architect at Stripe, start with how one business cut its monthly invoicing work by 90% in 2026. They then look at agentic machine-to-machine sales in 2027 and the impact on downstream financial platforms. Their session is a chance to learn more about what happens to invoicing when AI is doing the buying and selling.

Thursday 12 November 2026, 1:00pm AEDT

Register for the session

Part of The AI in Practice Summit, 11 and 12 November 2026. Free, online, every session recorded.