OpenAI and PwC have announced a strategic collaboration to redesign 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 concern Italian SMEs embarking on the digital transformation of their finance departments.
Specifically, the partnership aims to integrate OpenAI's models into PwC's consulting processes. As a result, companies will be able to delegate tasks like accounting reconciliation, report generation, and financial planning to autonomous agents. Therefore, the CFO's role evolves from an analyst to a strategic supervisor of 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. Therefore, this agreement is not just news from the enterprise world: it's a signal that anticipates structural changes for smaller organizations too. Finally, understanding these scenarios today means positioning yourself with a competitive advantage tomorrow.
The timeline of a deal that reshapes finance
On May 4, 2026, OpenAI and PwC made public their official collaboration to bring AI agents into the CFO's function. The announcement is not a simple technological integration. On the contrary, it represents a structural redefinition of how large organizations manage the financial cycle.
PwC brings decades of finance process consulting and a global network of enterprise clients. OpenAI brings its advanced language models and the ability to orchestrate autonomous agents. Therefore, the combination produces something unprecedented: a system capable of executing, verifying, and optimizing financial workflows without continuous human intervention.
The timing is no coincidence. In fact, by 2025 the trend toward automating cognitive processes in finance had already solidified. This partnership accelerates that trajectory significantly.
What AI agents actually do in the financial cycle
The AI agents described in the OpenAI-PwC partnership operate across multiple levels of the finance process. First of all, they automate repetitive tasks: accounting reconciliations, monthly closes, and compliance checks. Today, these operations take up a significant chunk of finance team time in medium and large businesses.
Plus, the agents are designed to boost forecasting. They analyze historical data, macroeconomic variables, and real-time market signals. As a result, they deliver more accurate and up-to-date forecasts than traditional models based on Excel spreadsheets or static BI software.
A third level concerns internal controls. Agents continuously monitor transactions, identify anomalies, and report potential risks before they become problems. Therefore, the role of the finance team shifts towards supervision and strategic interpretation of data, rather than its manual production.
According to research by McKinsey Global Institute , finance and accounting departments are among the top contenders for generative AI automation. The OpenAI-PwC partnership sits right in this sweet spot.
Winners, losers, and those who still have to decide
Who benefits from this deal? First off, large corporations already working with PwC that can get AI solutions integrated into their audit and consulting processes. On top of that, PwC gains a significant competitive edge over the other Big Four in the race for AI applied to finance.
OpenAI, for its part, is strengthening its presence in the enterprise B2B market. However, the real gamble is proving that their agents work in high-stakes environments like finance, where mistakes have concrete and measurable consequences.
Who's at risk of falling behind? Traditional ERP and FP&A (Financial Planning & Analysis) software houses that haven't added agentic features to their products yet. Similarly, junior finance roles doing purely routine work might see demand for those specific skills drop.
SMEs still have to decide. These companies don't have immediate access to PwC's enterprise solutions. Likewise, they don't always have the necessary data infrastructure to make AI agents work effectively. So, the risk is falling behind as the market transforms.
SHM Studio's take: the signal beyond the news
We at SHM Studio We see this partnership as a market signal rather than an isolated news item. Finance is historically one of the last business areas to adopt radical innovations. Therefore, when two players like OpenAI and PwC move in this direction, it means that technological maturity has reached a sufficient level for real applications.
For Italian B2B SMEs, the question is not whether to adopt AI in finance processes. The question is when and with what approach. In fact, waiting for enterprise solutions to become accessible without internal preparation means wasting precious time.
Specifically, AI tools are already available today that SMEs can integrate into their financial workflows: from automatic expense categorization to narrative report generation, to predictive cash flow analysis. These tools don't require enterprise infrastructure. However, they do need a clear strategy and adequate digital skills.
According to Gartner, by 2027 over 50% of finance functions in mid-sized organizations will use at least one AI agent for routine tasks. This suggests that the window of advantage for those moving today is still open, but it's closing.
The still open worksite: governance and data trust
The OpenAI-PwC partnership leaves some critical questions open. First and foremost, the governance of AI agents in finance. Who is responsible when an agent makes a mistake in accounting reconciliation or budget forecasting? The answer isn't universally defined yet.
Furthermore, data quality remains a non-negotiable prerequisite. AI agents produce reliable outputs only when fed with structured, complete, and up-to-date data. Many Italian SMEs still have significant gaps in the quality of their financial data. Consequently, investing in data quality is a mandatory step before any agentic automation.
Finally, regulatory compliance is a big deal. In Europe, the AI Act sets specific rules for high-risk AI systems. Financial processes often fall into this category. So, any rollout needs to be designed with the rules in mind.
Next moves: what Italian SMEs should do today
The OpenAI-PwC news doesn't call for an immediate rush to adopt the tech. Instead, it hints at some smart moves SMEs can kick off as early as Q2 2026.
- Audit of internal financial data: check the quality, structure, and completeness of available data. It's the must-have first step for any future automation.
- Identification of high-volume repetitive processes: map out those finance tasks that suck up the most time without adding any real strategic value. Those are your go-to candidates for your very first automation project.
- Experimentation with accessible AI tools: there are SaaS solutions out there that bake AI right into your finance workflows without needing a massive, complicated setup. Running a small pilot is a great way for your team to learn the ropes.
- Training of the finance team: the change isn't just technological. The team needs to build new skills for supervising and interpreting the data produced by the agents.
For small and medium enterprises wanting to learn how AI can fit into their business processes, the team at SHM Studio — AI services offers breakdown sessions and customized roadmaps. Plus, if you're trying to figure out how to talk about your digital makeover, you can check out our solutions for Digital marketing and SEO .
To dive deeper into the topic of AI agents in enterprise contexts, we recommend reading the Harvard Business Review analysis on AI agents in business. It offers a useful strategic perspective for anyone making decisions right now.
Finally, for those handling B2B communication for their company, our solutions for LinkedIn campaigns and google ads campaigns can boost positioning on innovation topics. Just like our service of SEO copywriting can help build editorial authority on these topics. For any further details, the team is available through the page contacts or exploring the SHM Studio blog for further analysis and updates. Also, the section web services offers solutions for those who want to build digital infrastructures ready to support tech innovation.
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