Basware deploys AI agents for full automation of financial processes

When a Chief Financial Officer of a large company hears the words "one hundred percent automation," the first reaction is typically skepticism. Too many promises, too few real results. But this is precisely the goal set by Finnish company Basware, one of the world's leading providers of procurement and financial process automation solutions, as it introduces a new generation of AI agents for its accounts payable management platform.

Basware is not new to applying artificial intelligence. For several years, the company has been developing the InvoiceAI system, which helps recognize, classify, and route incoming invoices. However, until now, these have been assistant tools: they offered suggestions, proposed options, but the final decision remained with a human. Now Basware is taking a principled step further. The new AI agents, embedded in the invoice lifecycle management platform, are capable of independently executing complete chains of financial operations—from receiving an invoice to its approval and processing—within pre-established rules and control parameters.

The company calls this concept "Agentic Finance," and behind the trendy term stands a quite concrete architectural idea. Unlike traditional automation systems that operate on rigid "if-then" rules, the agentic model implies that the AI system possesses a certain degree of autonomy. An agent can independently make decisions in non-standard situations, access additional data sources, request clarifications from suppliers, and even escalate issues to a human if a situation exceeds its authority. Essentially, it is a digital accountant that works around the clock, makes no mistakes from fatigue, and scales without limits.

Basware CEO Jason Kurtz positions the innovation as a logical evolution of financial technology. And the context for this statement is indeed favorable. The accounts payable automation market is experiencing a boom: according to analysts, by 2027, its volume will exceed 7 billion dollars. Major players—SAP, Coupa, Tipalti—are actively integrating AI into their products. But most of them remain at the level of "smart assistants." Basware, claiming a transition to fully autonomous agents, is attempting to secure leadership in the next wave.

It is important to understand why invoice processing has become one of the first real testing grounds for agentic AI in the corporate sector. Invoicing is a process that is simultaneously routine and complex. It includes recognizing documents in dozens of formats, matching against orders and contracts, checking for duplicates and fraud, multilevel approvals. At the same time, errors are costly: according to industry research estimates, manual processing of a single invoice costs a company between 15 to 40 dollars, and the percentage of errors in manual data entry reaches 3-4 percent. For a large corporation processing hundreds of thousands of invoices annually, automating this process is not simply a convenience, but a matter of competitiveness.

However, the promise of "one hundred percent automation" raises legitimate questions. Financial processes are governed by strict regulatory requirements, and responsibility for errors falls on specific people and organizations. Who is responsible if an agent processes a fraudulent invoice? How can auditability of decisions made by a neural network be ensured? Basware speaks of "pre-established controls," but the details of how these mechanisms are implemented remain unclear. This is where the boundary between marketing promise and the actual readiness of a product to work in regulated environments runs.

There is also a broader context. The concept of agentic AI is one of the hottest topics in the industry since late 2024. OpenAI, Google, Microsoft, Salesforce—all major technology companies are developing their own versions of AI agents for business. Basware, being a niche but influential player in financial automation, is effectively adapting this trend for a specific vertical. And this is telling: agentic AI is ceasing to be an abstract concept from presentations and is beginning to penetrate specialized industry-specific solutions.

For the Russian market, where financial process automation develops along its own path—through solutions like 1C, Kontur, Diadoc, and other local platforms—the Basware experience is interesting primarily as an indicator of direction. The agentic approach to document processing will inevitably come to domestic systems as well. The question is only who among local developers will first offer not just a "smart assistant," but a full-fledged digital finance employee capable of working autonomously within Russian legislation and electronic document management standards. Basware's move is a signal: the era of AI assistants in finance is ending, the era of AI agents is beginning.