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    Home » Why CIOs and CFOs have gotten ‘hooked up on the hip’ as companies make large AI investments
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    Why CIOs and CFOs have gotten ‘hooked up on the hip’ as companies make large AI investments

    Daniel HughesBy Daniel HughesOctober 22, 2025No Comments10 Mins Read
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    Why CIOs and CFOs have gotten ‘hooked up on the hip’ as companies make large AI investments
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    When Rani Johnson joined Workday as chief info officer in March 2023, her appointment occurred to coincide with some monumental generative synthetic intelligence milestones, together with the debut of Anthropic’s Claude and the rollout of OpenAI’s GPT-4.

    Amid all of the buzzy consideration on generative AI and the hunt to provide each top- and bottom-line features from the deployment of those fast-developing instruments, Workday needed to be considerate about how it could funds the enterprise software program firm’s AI investments. A detailed partnership was solid between IT and finance, the latter led by Chief Monetary Officer Zane Rowe, who joined Workday simply three months after Johnson.

    “We created a framework for the governance to make sure that any materials AI investments had a evaluate course of,” says Johnson.

    This course of features a month-to-month IT-finance assembly the place the groups talk about the assorted AI instruments within the market, which use instances have the very best feasibility for achievement, and which might produce the best impression to the enterprise. Every month, Workday evaluates each generative AI use case that’s been in manufacturing for six months or longer to find out if these investments are delivering on key efficiency indicators, which can embody productiveness or income era.

    On a bimonthly foundation, the corporate’s broader government management staff meets to align on Workday’s general AI technique. In these periods, Johnson shares updates on the long run generative AI roadmap and what advantages are anticipated to be achieved when making these investments. That transparency ensures accountability for all AI bets.

    Enterprise leaders say it’s essential for IT and finance to nurture an in depth partnership as AI turns into extra expansive throughout their operations, particularly as some research have proven {that a} vast majority of AI pilots fail. Most organizations which can be utilizing generative AI right now are seeing a limited return on their investments, in response to analysis from administration consulting agency McKinsey.

    Workday pilots each new AI characteristic it could wish to deploy, continuously with a really brief contract.

    “We do consider there’s going to be some enterprise-level consolidation over time,” explains Johnson. When trying again and assessing AI investments, the corporate could swap out distributors when a brand new software proves to be simpler to deploy at a decrease price. In a single instance, Workday swapped in Salesforce Agentforce to switch some third-party brokers that the corporate had deployed from one other, unnamed vendor.

    “I feel the finance-IT partnership is terrific in enabling us to nonetheless drive worth, whereas we acknowledge that there’s not solely alternative, however the price of not altering is considerably excessive as nicely,” says Rowe.

    At Akamai Technologies, CIO Kate Prouty and CFO Ed McGowan joined the cybersecurity and cloud computing firm inside a 12 months of one another greater than 25 years in the past. After a few years as colleagues, Prouty has reported to McGowan ever since she ascended to the highest IT position in 2021.

    “When you’ve gotten the CFO behind you, it makes life lots simpler,” says Prouty.

    IT and the finance division’s procurement staff are “hooked up on the hip,” trying carefully at vendor contracts to make sure that Akamai is getting one of the best charges doable. Akamai’s IT staff fields all inbound requests for brand new expertise options throughout the group, committing to responding to submissions inside a day.

    McGowan says management must strike a fragile stability of encouraging using AI instruments that may assist engineers code sooner or make it simpler for attorneys to draft authorized contracts. However the firm doesn’t wish to see prices exploding by saying “sure” to each AI request.

    “We now have to be sure that we don’t get in a scenario the place we’re both duplicating efforts, or signing dangerous contracts, or simply having bills run uncontrolled,” says McGowan. 

    The C-suite leaders at animal well being firm Zoetis have positioned fewer, greater AI bets targeted on simply two core elements of the enterprise, analysis and growth and commercialization. Six of the corporate’s seven AI use instances have been deemed a “success,” together with one AI software that helps gross sales representatives put together extra tailor-made enterprise pitches for every particular person livestock buyer.

    Zoetis acknowledges it’s a bit behind on implementing extra generic AI productiveness instruments, together with these that may pace up recruitment. However the firm says it’s shifting extra monetary assets in that route. And it may well store round and discover off-the-shelf merchandise bought by numerous AI distributors that don’t have as a lot differentiation because the instruments that Zoetis developed for its core use instances.

    “We began out being extra disciplined and targeted by way of the place we had been pursuing gen AI and making our bets,” says Wetteny Joseph, CFO at Zoetis.

    Like his friends at Workday and Akamai, Zoetis Chief Digital and Know-how Officer Keith Sarbaugh says the excessive prices tied to compute and licensing are an ongoing concern. “In my 25 years in one of these work, I’ve by no means seen one other expertise carry post-implementation prices as excessive as AI,” says Sarbaugh.

    He continuously fields pitches from distributors like Salesforce and SAP about their newest AI choices, however firmly believes that the best worth will come from instruments that aren’t siloed.

    “We’re all the time on the lookout for these alternatives the place we are able to combine knowledge and processes throughout platforms and kind of unlock new worth that approach,” says Sarbaugh.

    John Kell

    Ship ideas or strategies to CIO Intelligence here.

    NEWS PACKETS

    Amazon Net Providers stung by large outage. Amazon’s cloud computing service skilled a major outage that disrupted an array of on-line companies affecting main company shoppers together with Starbucks, Robinhood, United Airways, McDonald’s and even Amazon’s personal companies like Ring and Alexa. Amazon blamed the outage on points associated to the corporate’s area identify system and stated the outage originated in Northern Virginia, which is the largest and oldest cloud hub within the nation, in response to the Related Press. The AWS outage started Monday morning, with all companies returning to regular operations by 6 p.m. Jap. DownDetector, which tracks disruptions to web companies, stated in a Fb publish it had acquired over 11 million person stories of issues at greater than 2,500 corporations.

    OpenAI hires ex-bankers to develop AI instruments that may carry out work now achieved by junior workers. Bloomberg reports that OpenAI has employed greater than 100 former funding bankers from Morgan Stanley, Goldman Sachs, and different monetary giants, workers that’s been introduced on board to assist prepare monetary fashions that may exchange entry-level duties carried out by youthful bankers. The challenge, referred to as Mercury, pays contributors to write down prompts and construct monetary fashions for transaction-related duties, together with preliminary public choices and restructuring. Bloomberg stories that Mercury is an instance of OpenAI CEO Sam Altman’s bid to make AI expertise extra helpful to particular industries, like finance on this case, in addition to authorized and consulting.

    Anthropic debuts Claude Life Sciences, brings Claude Code to the online. OpenAI’s rival Anthropic has formally introduced new expertise choices together with the debut of Claude Life Sciences, which is constructed round Anthropic’s AI fashions however may even assist new connections to exterior scientific instruments which can be used for analysis and growth. Anthropic says it intends for this AI integration to assist researchers pace up the drug discovery course of, together with analysis, knowledge evaluation, and scientific and regulatory compliance. Individually on Monday, Anthropic announced it could deliver its AI coding assistant Claude Code to the online, permitting builders to create and handle AI coding brokers from their browser. Rivals like Cursor have equally moved on this route in current months, with Anthropic telling TechCrunch it needs to place Claude Code all over the place to “meet builders the place they’re.”

    ADOPTION CURVE

    AI use surges amongst enterprise leaders and chatbots are their go-to software. A overwhelming majority of enterprise leaders (82%) report that they use generative AI instruments “a number of occasions a day,” primarily for work-related duties, but in addition for private productiveness and social media content material creation, amongst different makes use of, in response to a survey of 119 members of the Fortune AIQ Advisory Board.

    Chatbots together with ChatGPT and Gemini had been by far the most-used generative AI instruments (99% report common utilization), adopted by picture mills like Midjourney (42%), GitHub Copilot and different AI coding assistants (26%), and video mills (solely 8%). The preferred work-related duties had been analysis (88%), drafting stories or emails (74%), and brainstorming concepts (71%).

    Whereas 9 out of ten of the enterprise leaders reported that they had been both “very glad” or “glad” with these generative AI instruments, there have been some issues when requested if they’d encountered any output points. The highest difficulty was inaccurate or deceptive outcomes (39%), adopted by an absence of context understanding (23%), and biased or inappropriate outputs (8%). Two out of ten reported no main points with their generative AI utilization.

    Courtesy of Fortune AIQ Advisory Board

    JOBS RADAR

    Hiring:

    – Airrosti is seeking a CTO, based mostly in San Antonio, Texas. Posted wage vary: $200K-$230K/12 months.

    – AmeriSave Mortgage is seeking a chief AI officer, based mostly in Colorado. Posted wage vary: $300K-$1M/12 months.

    – The Info is seeking a head of engineering, a hybrid place that’s based mostly in New York Metropolis or San Francisco. Posted wage vary: $200K-$250K/12 months.

    – Corpay is seeking a VP of technology, based mostly in Sacramento, California. Posted wage vary: $222.6K-$260K/12 months.

    Employed:

    – Whataburger named Rohit Kapoor as EVP and chief digital and expertise transformation officer, becoming a member of the fast-food operator after serving as EVP and CIO at retailer Claire’s. Kapoor additionally beforehand held senior management roles at restaurant giants Starbucks and Yum Manufacturers.

    – Cart.com announced the appointment of Arjun Sainath as CTO, the place he’ll lead product and the engineering technique for the logistics-focused e-commerce software program supplier. Most not too long ago, Sainath served as VP of platform engineering at provide chain administration firm Blue Yonder. He additionally beforehand served as a senior director at Salesforce.

    – Kikoff announced Philippe Clavel as CTO, becoming a member of the fintech firm to steer the development of its AI technique. Clavel beforehand served as CTO and CEO at luxurious travel-tech firm Scenset and as a senior director of engineering at on-line sport platform Roblox.

    – Mongoose appointed Scott Johnston as CTO, becoming a member of the software program developer after most not too long ago serving as chief product officer for the civic tech nonprofit Code for America. Previous to that, Johnston spent 16 years at Google, the place he helped develop key merchandise together with Google Drive, Meet, Chat, and Voice. Johnston’s arrival at Mongoose coincides with the corporate’s deliberate deep funding in agentic AI.

    – Plainsight announced the appointment of Venky Renganathan as CTO, becoming a member of the startup that helps companies convert photos and movies into structured knowledge. Renganathan beforehand served as VP of engineering at restore store administration software program firm Fullbay and held software program growth roles at Amazon and Amazon Net Providers.

    – Accruent named Aron England as chief product and expertise officer, becoming a member of the software program supplier after most not too long ago serving as CPTO at speech expertise software program firm Rev. England additionally has greater than 20 years of product and software program management at Dell, Vrbo, and Expedia.

    – AXS appointed Nikhil Bobde as CTO and named Alex Hazboun to the newly created position of chief innovation officer, reporting to Bobde. Bobde joins the sports activities and leisure ticketing firm from on-line market Thumbtack and held prior roles at Microsoft and Meta. Hazboun had served as CTO of AXS for 9 years and beforehand held roles at Ticketmaster and Reside Nation.

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    Daniel Hughes
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