Finance transformation will be a major priority for Hewlett Packard Enterprise CFO Marie Myers this year as her team looks to do more with artificial intelligence agents, focusing on use cases such as forecasting and accounts receivable processing, the executive said in a CFO Dive interview.
The team is scaling up its use of “Alfred,” an internal agentic AI tool that it developed with engineers at Big Four accounting and consulting firm Deloitte with the goal of boosting finance operations, Myers said.
After successfully piloting the tool last year, the company is now poised in 2026 to drive “far more uses of agentic AI inside of finance,” she said.
The agentic AI push reflects a rising trend among corporate finance teams, according to Deloitte’s latest CFO Signals Survey released in January.
More than half (54%) of surveyed finance chiefs said integrating AI agents in their departments will be a digital transformation priority in 2026. “This likely reflects growing interest in advanced tools to augment workflows and decision-making,” the report said.
For her part, Myers has embraced a “transformation with purpose” mindset, with a focus on using forward-looking, enterprise intelligence to drive growth, HPE and Deloitte said Thursday in a blog post highlighting their joint finance initiative.
Myers became CFO of HPE in 2024 after a three-year stint as finance chief of HP Inc. She previously held a variety of other positions at HP, including chief transformation officer, overseeing the company’s information technology and transformation organizations.
In her current capacity, Myers has prioritized greater technology adoption at HPE, according to the blog post. Beginning in 2025, she launched an effort with Deloitte to transform HPE’s finance operations “and pioneer agentic solutions that can reimagine how CFOs lead their organizations,” the post said.
AI investment race
HPE’s intensified use of Alfred comes as technology giants and Big Four firms are heavily investing in AI to beef up their offerings while experimenting with use cases internally.
Deloitte announced in March 2025 that it was launching a new suite of “ready-to-deploy” AI agents, dubbed Zora AI and built on technology from NVIDIA, for automating workflows across business functions, including financial management. The consulting firm envisioned its new agents being used to complete complex tasks and provide “on-demand insights, analysis, reporting, workflow automation, decision support and data sourcing,” according to a press release at the time.
As part of last year’s announcement, Deloitte said it was collaborating with HPE to offer a finance-specific Zora product to customers of HPE Private Cloud AI, with both companies planning to use the tool internally in the meantime.
The jointly developed finance tool, which is now referred to as CFO Insights, is cutting HPE’s financial reporting cycle by about 40%, while driving “more productive and targeted discussion around operational performance,” according to the Thursday blog post.
“By embedding agentic AI and generative AI into finance, HPE is demonstrating an approach many teams are still working toward: reimagining processes, moving pilots into production at scale, and generating real, measurable value,” Abdi Goodarzi, U.S. chief commercial officer for Zora AI at Deloitte, said in an emailed statement.
HPE affectionately named its own internal version of the tool “Alfred” after superhero Batman’s trusted butler, according to the post. Myers said Alfred is a platform that leverages both generative and agentic AI, bringing together data across key aspects of the company’s finance supply chain.
The tool allows people in finance and other parts of the company “to really interpret data and understand not just what is happening, but why it’s happening,” she said. “So, it’s a real time sort of interface for us on the key stats and performance of the company.”
‘Deterministic outcomes’
HPE worked with Deloitte and NVIDIA to ensure “deterministic outcomes” with Alfred, “meaning users get the same answer every time they ask the same question, according to the blog post.
“That might sound simple, but it solves a long-standing theoretical challenge in enterprise generative AI: making large-language models behave predictably in inherently non-repeatable LLM [large language model] environments,” the post said.
Myers’ deployment of Alfred started last year with a use case involving HPE’s regular operational performance review process.
“We chose really consciously to pick one of the most strategic processes in the company, which is our weekly ops call” that includes people from both finance and sales, Myers told CFO Dive. “Once a week, we come together on a Monday with 40 to 50 people who sort of really look at what’s happening with the business, and that call is the heartbeat of the company.”
Before the deployment of Alfred, “it was a very manual-driven, rear-vision mirror look-back call. We would spend literally days beforehand pulling together hundreds of PowerPoint pages … on what had happened in different aspects of the business.”
Alfred is capable of instantly analyzing data and generating insights, eliminating the need for tedious manual work and allowing the focus to shift from figuring out what happened to a more forward-looking conversation on “what we plan to do about it,” Myers said.
AI agents “now perform a lot of the analytical work that analysts were doing before,” she said. “So, analysts who were previously doing calculations around shipment data, shipment accuracy — those tasks are now performed by agents.”
Myers said the ops project gave her team “the chance to really position ourselves as finance helping to inspire and lead a broader enterprise transformation.”
She said the company is now looking to deploy Alfred on the “transactional side of finance” — from credit and collections to accounts payable and receivable processing.
“We’re in production right now with Deloitte on many of those initiatives,” the finance chief said. Forecasting could be the next major focus, she said.