OpenAI has deepened its push into enterprise finance by striking a partnership with PwC aimed at building agentic AI tools for the office of the chief financial officer, in a move that underscores how quickly software capable of taking action, not just generating text, is moving into core business functions.
According to the companies, the work will focus on the day-to-day mechanics of finance: forecasting, planning, reporting, procurement, payments and treasury. Rather than tr...
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eating AI as a laboratory exercise, the two firms say they are starting with a procurement agent inside OpenAI’s own finance organisation and using that experience to shape further tools across other finance workflows.
Sarah Friar, OpenAI’s finance chief, said in a news release that finance has always depended on judgement and trust, but that AI can give leaders more ability to anticipate problems and respond faster. She said the opportunity is not limited to efficiency, arguing that finance teams may soon be able to operate with greater foresight and strategic influence.
Tyson Cornell, PwC’s US advisory leader, said the function was at an inflection point as organisations moved away from simple process automation towards more decision-led operations. He said the collaboration would help clients embed agentic AI into the fabric of finance, with the aim of improving insights, control and operating agility.
The companies are presenting the initiative as a practical deployment effort rather than a speculative product exercise. That matters because finance remains one of the most sensitive areas for automation: decisions are often high-stakes, the data is fragmented across systems, and errors can quickly ripple through an organisation.
PwC’s role also reflects a broader consulting-industry race to package AI for regulated, process-heavy businesses. In recent months, the firm has announced other AI-related alliances, including work with Anthropic in regulated industries and an expanded partnership with Appian around AI-augmented enterprise workflows. It has also set up a Google Cloud AI centre of excellence to accelerate adoption at scale. The OpenAI collaboration fits that pattern, but with a sharper focus on finance operations and on systems that can coordinate tasks across tools and datasets.
OpenAI’s broader alliance with PwC has already been positioned as a way to bring enterprise-grade deployments and custom GPT-style tools to business customers. The new finance-specific work suggests the companies want to move beyond generic copilots and into operational agents that can sit closer to the systems where financial decisions are made.
Still, the wider rollout of agentic AI in finance is likely to remain uneven. Recent industry commentary has noted that accounts receivable and accounts payable are especially difficult areas for agent-based automation because many workflows were built for human review, not machine execution, and often rely on dense, inconsistent or document-heavy inputs. That suggests the benefits of agentic AI may depend as much on data structure and process redesign as on model capability.
For finance teams, the partnership points to a future in which people are less focused on carrying out repetitive tasks and more on supervising systems, setting controls and defining the standards by which AI agents operate. Whether that transition delivers real strategic value will depend on how well companies can balance speed, oversight and trust.
Source: Noah Wire Services
