OpenAI and PwC have announced a strategic collaboration to reshape the CFO function through AI agents. The goal is to automate financial workflows, improve forecasting and strengthen internal controls in large organizations. However, the operational implications also affect Italian SMEs starting the digital transformation of their finance area.
In particular, the partnership aims to integrate OpenAI's models into PwC's consulting processes. As a result, companies will be able to delegate tasks like account reconciliation, report generation and financial planning to autonomous agents. The CFO's role, therefore, shifts from executing analyses to strategically supervising intelligent systems.
At SHM Studio, we monitor these dynamics to help Italian SMEs understand where and how AI can generate real value in business processes. So this deal isn't just enterprise news: it's a signal that foreshadows structural changes for smaller organizations too. Ultimately, understanding these scenarios today means gaining a competitive edge tomorrow.
The timeline of a deal that redraws finance
On May 4, 2026, OpenAI and PwC made their official collaboration public to bring AI agents to the CFO function. The announcement isn't a simple technology integration. On the contrary, it represents a structural redefinition of how large organizations manage the financial cycle.
PwC brings decades of consulting on finance processes and a global network of enterprise clients. OpenAI brings its advanced language models and the ability to orchestrate autonomous agents. The combination produces something new: a system that can execute, verify and optimize financial workflows without continuous human intervention.
The timing is no accident. In 2025, the trend toward automating cognitive processes in finance had already taken hold. This partnership accelerates that trajectory significantly.
What AI agents actually do in the finance cycle
The AI agents described in the OpenAI-PwC collaboration work across multiple levels of the finance process. First, they automate repetitive tasks: account reconciliations, monthly closings, compliance checks. Today these operations take up a significant share of finance teams' time in mid-sized and large companies.
The agents are also designed to improve forecasting. They analyze historical data, macroeconomic variables and market signals in real time. As a result, they produce more accurate, up-to-date forecasts than traditional models based on Excel spreadsheets or static BI software.
A third level concerns internal controls. The agents continuously monitor transactions, spot anomalies and flag potential risks before they become problems. So the finance team's role shifts toward supervising and strategically interpreting data, rather than producing it manually.
According to research by McKinsey Global Institute, finance and accounting are among the functions with the highest potential for automation through generative AI. The OpenAI-PwC partnership sits squarely in this space.
Winners, losers and those who have yet to decide
Who gains from this deal? First, large companies that already work with PwC and can access AI solutions built into their audit and consulting processes. PwC also gains a significant competitive advantage over the other Big Four in the race for AI applied to finance.
For its part, OpenAI strengthens its presence in the B2B enterprise market. However, the real bet is proving that its agents work in high-responsibility settings like finance, where mistakes have concrete, measurable consequences.
Who risks losing ground? Traditional ERP and FP&A (Financial Planning & Analysis) software vendors that haven't yet built agentic capabilities into their products. Likewise, junior finance professionals who perform purely executional tasks could see demand for those specific skills shrink.
Those who have yet to decide are SMEs. These companies don't have immediate access to PwC's enterprise solutions. Nor do they always have the data infrastructure needed to make AI agents work effectively. The risk, then, is being left behind while the market transforms.
SHM Studio's take: the signal behind the news
At SHM Studio, we read this partnership as a market signal rather than an isolated piece of news. Finance has historically been one of the last business areas to adopt radical innovation. So when two players like OpenAI and PwC move in this direction, it means the technology has matured enough for real-world applications.
For Italian B2B SMEs, the question isn't whether to adopt AI in finance processes. It's when, and with what approach. Waiting for enterprise solutions to become accessible without preparing internally means wasting precious time.
In particular, accessible AI tools already exist that SMEs can integrate into their financial workflows: from automatic expense categorization to narrative report generation, all the way to predictive cash flow analysis. These tools don't require enterprise infrastructure. They do, however, require a clear strategy and the right digital skills.
According to Gartner, by 2027 more than 50% of finance functions in mid-sized organizations will use at least one AI agent for operational tasks. This suggests the window of advantage for those who move today is still open, but it's closing.
The work still open: governance and trust in data
The OpenAI-PwC partnership leaves some critical questions open. First of all, the governance of AI agents in finance. Who is responsible when an agent makes a mistake in an account reconciliation or a budget forecast? There is still no universal answer.
Data quality also remains a non-negotiable prerequisite. AI agents deliver reliable output only when fed structured, complete and up-to-date data. Many Italian SMEs still have significant gaps in the quality of their financial data. As a result, investing in data quality is a must before any agentic automation.
Finally, regulatory compliance is central. In Europe, the AI Act sets specific requirements for high-risk AI systems. Financial processes often fall into this category. So any implementation must be designed with regulatory implications in mind.
Next moves: what Italian SMEs should do today
The OpenAI-PwC news doesn't call for an immediate response in terms of technology adoption. Instead, it suggests a few strategic moves SMEs can start as early as the second quarter of 2026.
- Audit of internal financial data: check the quality, structure and completeness of the data you have. It's the prerequisite for any future automation.
- Identify high-volume repetitive processes: map the finance tasks that eat up the most time without adding strategic value. These are the ideal candidates for a first round of automation.
- Experiment with accessible AI tools: there are SaaS solutions that bring AI into finance processes without complex implementations. A limited pilot lets you build in-house skills.
- Finance team training: the change isn't just technological. The team needs to develop new skills in supervising and interpreting the data produced by the agents.
For SMEs that want to explore how AI can fit into their business processes, the SHM Studio — AI services team offers analysis sessions and tailored roadmaps. And if you're considering how to communicate your digital transformation, explore our digital marketing and SEO solutions.
To dive deeper into AI agents in enterprise settings, we recommend Harvard Business Review's analysis of AI agents in business. It offers a strategic perspective that's useful for anyone who has to make decisions right now.
Finally, if you manage your company's B2B communications, our LinkedIn campaigns and Google Ads campaigns can help you build a position around innovation topics. Our SEO copywriting service can also help you establish editorial authority on these subjects. For more information, the team is available through the contact page, or you can explore the SHM Studio blog for further analysis and updates. And if you want to build a digital infrastructure ready to support technological innovation, the web services section has solutions for you.
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