Hewlett Packard Enterprise (HPE) Chief Financial Officer Marie Myers said in an interview with CFO Dive that finance transformation will be one of her team's top priorities this year. The team is working to expand the use of AI agents, focusing on use cases such as predictive analytics and accounts receivable processing.

Myers revealed that the team is expanding the use of the internal agentic AI tool "Alfred." The tool was developed jointly by HPE and engineers from Deloitte, one of the Big Four accounting and consulting firms, to improve finance operations efficiency. After a successful pilot last year, the company plans to drive "far broader agentic AI adoption" in finance by 2026.

This trend toward agentic AI aligns with the latest CFO Signals survey report released by Deloitte in January, which revealed the direction of corporate finance teams. The survey showed that more than half (54%) of surveyed finance leaders said integrating AI agents into their departments would be a digital transformation priority for 2026. The report stated: "This likely reflects growing interest in advanced tools to enhance workflows and decision support."

Myers herself embraces the philosophy of "transformation with purpose," focusing on leveraging forward-looking enterprise intelligence to drive growth. HPE and Deloitte highlighted this finance collaboration in a joint blog post released Thursday. Myers became HPE's CFO in 2024, having previously served as finance chief at HP Inc. for three years. She also held roles at HP including Chief Transformation Officer, overseeing the company's IT and transformation organizations.

According to the blog post, in her current role, Myers has prioritized driving technology adoption at HPE. Since 2025, she has worked with Deloitte to launch HPE's finance operations transformation, "and pioneer agentic solutions that can reshape how CFOs lead their organizations."

The AI investment race

HPE's increased use of Alfred comes as tech giants and Big Four accounting firms make heavy investments in AI to strengthen their products and test use cases internally. Deloitte announced in March 2025 the launch of Zora AI, a suite of "ready-to-use" AI agents built on NVIDIA technology, designed to automate workflows across business functions including finance management. At the time, Deloitte envisioned in its press release that its new agents would be used to complete complex tasks and provide "on-demand insights, analysis, reporting, workflow automation, decision support, and data access."

As part of last year's announcement, Deloitte said it was working with HPE to offer finance-specific Zora products to HPE Private Cloud AI customers, with both companies also planning to use the tool internally. This jointly developed finance tool, now named CFO Insights, has reduced HPE's financial reporting cycle by approximately 40% and driven "more productive, more targeted discussions" around operational performance, according to Thursday's blog post.

"By embedding agentic AI and generative AI into finance, HPE is demonstrating what many teams are still striving to achieve: reimagining processes, scaling pilots into production, and creating real, measurable value," said Abdi Goodarzi, Chief Commercial Officer for Deloitte Zora AI in the U.S., in an emailed statement.

According to the blog post, HPE affectionately named its internal version of the tool "Alfred," after the loyal butler of the superhero Batman. Myers said Alfred is a platform that leverages both generative AI and agentic AI, integrating data from key parts of the company's finance supply chain. The tool enables people in finance and other departments "to truly interpret data, not just understand what is happening but also why it is happening," she said. "So, for us, it's a real-time interface for understanding the company's key metrics and performance."

'Deterministic results'

HPE worked with Deloitte and NVIDIA to ensure Alfred can produce "deterministic results"—which, according to the blog post, means "users get the same answer every time they ask the same question." The post noted: "This sounds simple, but it solves a long-standing theoretical challenge in enterprise generative AI: making large language models behave predictably in an inherently non-reproducible LLM environment."

Myers began deploying Alfred last year, with the first use case involving HPE's periodic operational performance review process. She told CFO Dive: "We deliberately chose one of the company's most strategic processes—the weekly operations call, which finance and sales teams attend. Every Monday, we gather 40 to 50 people to truly review business dynamics; this call is the heartbeat of the company."

Before deploying Alfred, "it was a very manual, rearview-mirror retrospective call. We would spend days in advance preparing about a hundred pages of PowerPoint covering what was happening across different parts of the business." Myers said Alfred can instantly analyze data and generate insights, eliminating tedious manual work and shifting the focus from figuring out what happened to more forward-looking discussions—"how we plan to respond."

"AI agents now handle much of the analytical work that analysts previously did. So, analysts who used to perform calculations around shipment data and shipment accuracy—those tasks are now done by agents," she said. Myers said the operations project gave her team "the opportunity to truly position ourselves, enabling finance to help inspire and lead broader enterprise transformation."

She said the company is now seeking to deploy Alfred to "the transactional side of finance"—from credit and collections to accounts payable and accounts receivable processing. "We are currently moving into production on these projects with Deloitte," the finance chief said. Predictive analytics could be the next key focus area.