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Maxio has launched Maxio AI, a set of seven specialist agents embedded in its billing platform. The product is aimed at finance teams that want AI tools to work within existing financial data and approval processes.
The agents operate within Maxio's billing and financial reporting system. They are designed to identify tasks, recommend next steps and prepare actions for human approval. They draw on contracts, invoices, payments, usage and revenue data already held in the platform.
The launch comes as finance teams face growing scrutiny over how they use AI in core processes. Auditability and human oversight have become central concerns as companies weigh efficiency gains against the risk of errors in financial reporting, collections and revenue analysis.
Each agent is assigned a single area of work: close readiness, collections, annual recurring revenue analysis, pricing, order processing, utilisation and broken integrations between systems used by finance teams.
One agent, called Close, is designed to tell finance leaders whether the books could be closed on a given day, what is blocking that outcome and what should be fixed first. Another, Collections, determines which accounts should receive payment reminders, drafts emails for approval and avoids contacting customers that reliably pay on time.
A Financial Analyst agent is designed to explain changes in annual recurring revenue, retention and revenue, while linking each figure back to its source. Other agents review discounting against churn, compare realised price with list price, check sales orders against contracts and customer relationship management records, flag renewal risk by comparing product usage with annual recurring revenue and renewal dates, and identify failed integrations before rerunning fixes after approval.
Approval model
Maxio said the system is based on four principles intended to address finance teams' concerns about trust and control. First, people remain in charge, with agents limited to proposing actions rather than executing them without approval.
The figures used by the agents come from reports already in a customer's account and link back to their source. Maxio said the agents do not generate or alter financial numbers.
Record-keeping is another principle. Every check, proposal and approval is logged with the identity of the user involved and the reason for the action.
Each customer's agents can access only that customer's data, with no cross-customer benchmarking. That approach is likely to matter for finance departments handling sensitive billing, payments and revenue data.
Finance pressure
The launch targets a part of the software market where finance teams often still handle recurring manual tasks despite having access to dashboards and reporting tools. Pre-close checks, payment follow-up, contract review and system reconciliation can consume significant time during the week, particularly in subscription businesses with high volumes of transactions and changing contract terms.
Maxio said its software is used by more than 2,000 software as a service, AI and subscription businesses worldwide, with more than USD $18 billion in billings under management. The company has spent 15 years in billing, revenue recognition and collections, and is using that background to expand from reporting on finance operations to preparing recommended actions within them.
Branden Jenkins, Chief Executive Officer of Maxio, said the product is intended to remove routine work from finance teams while leaving final decisions with people.
"Finance sees the whole business through its numbers, yet too many teams spend their weeks reconciling the past. Maxio AI gives them those weeks back. The agents do the checking, chasing, and fixing inside Maxio, on numbers finance already trusts, so finance leaders can step out of the close and into the decisions that shape where the company goes," Jenkins said.