Summary
- AI is moving beyond automation to autonomous decision-making.
- Finance leaders and CPAs have a responsibility to establish governance, transparency, and controls that make AI trustworthy.
- Governed Autonomy is the ticket.
Many businesses use AI to handle routine tasks, break down data, and get more done. But things are shifting. Inside finance, AI is moving from assistance to execution, reviewing invoices, resolving exceptions, and increasingly, acting on behalf of the team. In a survey of global finance leaders, 92% of CFOs said they are already integrating AI into financial decision-making, either across some processes or virtually all of them.
There’s no doubt AI can do the work. The question is, should it?
For accounting professionals advising clients, this question will become increasingly important. The value of AI will not come from simply automating more work. It will come from helping clients use AI in a way that is controlled, explainable, and aligned with their financial responsibilities. This is the idea behind Governed Autonomy.
“Can AI Do This?” Versus “Should AI Do This?”
Moving from experimentation to real business value remains the challenge for accounting. Three quarters (76%) of enterprise finance decision-makers plan to increase their AI investment over the next 12 to 24 months. However, 65% say they will require demonstratable ROI before committing any additional resources.
Every finance leader is facing a similar challenge. Boards want them to move forward with AI, auditors want a clear track record of all financial decisions made, and clients want to understand where AI fits into their daily work and where human judgement is still necessary. Governed Autonomy is designed to solve this challenge by giving organizations a way to expand AI use while maintaining visibility and accountability.
AI Needs More Guardrails, Not Restrictions
AI governance can sound like a reason to slow implementation, but proactive governance is what allows organizations to move forward with confidence.
It’s not about preventing AI from acting but making sure it takes the right actions within the right boundaries. A practical way to think about this is through three levels of AI responsibility:
- AI as an Advisor: AI reviews information, identifies trends, and recommends actions while a human makes the final decision.
- AI as a Collaborator: AI can complete certain tasks based on established rules while employees continue to review outcomes.
- AI as an Operator: AI can execute tasks independently within clearly defined controls with every action recorded for review.
This approach allows businesses to increase AI adoption gradually. They don’t have to choose between doing everything manually or handing over control completely.
Accountants are Critical in AI Adoption
Technology teams play an important role in implementing AI systems themselves, but accounting professionals bring a unique perspective that can’t be overlooked. Accountants understand just how essential accuracy, controls, compliance, and audit readiness are, and these principles will become even more important as AI becomes part of decision-making.
For example, consider how accounts payable can operate with this AI governance model in mind. A company receives a new invoice, but it’s higher than the contracted amount, and someone may manually review the exception and decide whether it should be approved or escalated. With a governed AI approach, the system can identify the difference, compare it against defined policies, and determine the appropriate next step.
The difference is that every action is explainable. The firm knows what happened, why it happened, and who is accountable. That’s what separates automation from responsible autonomy.
The need for control is already shaping how organizations approach AI adoption. While many are eager to innovate, 64% of finance leaders say stability and compliance are more important than raw innovation when selecting AI solutions. Additionally, less than half (46%) believe they have found the right balance between governance and innovation, meaning AI success depends as much on oversight as it does capability.
The Future of Accounting is Built on Trust
AI is redefining the way businesses work. But the rules of accounting haven’t changed just because the tools have. Accuracy, accountability, and trust still matter. Compliance must be considered across every financial decision. And as organizations manage changing requirements, such as new e-voicing mandates across markets like France and the EU, they need technology that supports transparency and compliance from the start. And clients will always need trusted advisors who know when AI adds value, when a human needs to step in, and how to keep everything safe and reliable.
The future is not about giving AI as much authority as possible but giving it the authority it has earned. Governed Autonomy provides a path for businesses to benefit from AI while protecting the oversight and accountability required to drive the next era.
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Jason Kurtz is a seasoned leader with a wealth of experience in international sales, marketing and business development. He joined as CEO of Basware in 2023, following Accel-KKR’s successful offer for the majority shares in Basware. With a wealth of experience in the technology and SaaS industries, Jason is responsible for guiding the company’s growth and transformation.
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