From Late Payments to AI Revenue Collection
Late invoices are more than an annoyance; they choke working capital, slow growth, and put jobs at risk. Many finance teams still rely on manual follow-ups, spreadsheets, and fragmented tools to chase payments. AI revenue collection platforms are stepping in to tackle this structural problem. By combining cashflow management software with automation, these systems orchestrate when and how to remind customers, which channels to use, and what payment methods to offer. Instead of generic reminders, AI agents can tailor outreach based on customer history, invoice size, and past behavior, improving the odds of timely settlement. The result is business payment automation that reduces delays, increases predictability, and frees finance teams from repetitive admin. As these platforms mature, they are evolving from simple reminder tools into strategic engines that shape how money moves across an entire business.
Adfin’s $18M Bet on Agentic AI Finance
Adfin’s USD 18 million (approx. RM83 million) Series A round, led by Index Ventures with participation from Visionaries Club and other investors, signals growing confidence in agentic AI finance. Less than two years after launch, the company has raised over USD 30 million (approx. RM138 million) to scale its AI-powered money movement platform. Adfin positions itself as an “agentic” finance layer, owning both proprietary payment infrastructure and the AI workflows on top. This lets its software do more than send reminders: it can select the best payment route, schedule, and follow-up actions for each client. The platform is purpose-built for invoice payments, spanning multiple payment methods and communication channels. For businesses, that means automated invoice payments that plug directly into existing finance operations, reducing friction for customers while tightening control over cash inflows and outflows.
Automated Invoice Payments as a Cashflow Engine
Adfin’s focus is squarely on turning automated invoice payments into a reliable cashflow engine. The company highlights that a large share of invoices sent by smaller firms are typically paid late, undermining their ability to plan and invest. By embedding AI agents into every stage of the revenue cycle—issuing invoices, routing payment links, sending reminders, and escalating follow-ups—the platform compresses the time between issuing and getting paid. Its infrastructure reportedly reduces the share of late invoices to a fraction of market norms, across sectors ranging from accounting and law firms to trades and care providers. For finance teams, this shifts the burden from manual chasing to exception management: they oversee and adjust agent decisions, rather than execute each step themselves. As cashflow management software, Adfin aims to provide clearer visibility into upcoming receipts, enabling better decisions on spending, hiring, and growth initiatives.
Agentic Money Movement: A New Category of Automation
Agentic money movement platforms represent a new category of business payment automation, distinct from traditional invoicing or accounting tools. Instead of simply recording transactions, they actively decide and execute actions in real time. Adfin’s approach ties together payment rails and AI decision-making, allowing finance teams to deploy specialized agents that handle repetitive yet complex workflows. These agents can weigh factors such as customer preferences, payment history, outstanding balance, and communication responsiveness to select the next best step in a collection sequence. Crucially, the company emphasizes that these systems remain safe, auditable, and trackable, with humans retaining oversight. This architecture caters to both SMBs and larger enterprises that require automation without sacrificing control or compliance. As more firms adopt agentic AI finance, the norm may shift from reactive ledger keeping to proactive, automated stewardship of incoming cash.
Beyond Collections: Toward End-to-End Cashflow Management
With fresh funding, Adfin plans to expand from AI revenue collection into broader end-to-end cashflow management. The strategy is to use the same agentic framework that optimizes invoice payments to also orchestrate how businesses manage their overall liquidity. By owning the underlying infrastructure, Adfin can introduce AI agents that forecast inflows, schedule outgoing payments, and surface risks before they impact operations. This positions the platform as more than a collections tool; it becomes a central nervous system for money movement. For finance leaders, the promise is a single environment where agents automate everyday workflows while providing granular visibility and audit trails. As adoption grows, platforms like Adfin could redefine how companies design their finance stacks—replacing a patchwork of tools with integrated, intelligent cashflow management software that treats money movement as the “bloodstream” of the business.