Finance
AI makes zero-based budgeting a practical finance tool
Experts in the pursuit of harnessing nuclear fusion will assure you that the technology is coming — just 30 years away, according to their projections.
The joke is that if you wait three decades and ask them where it is—
In finance and procurement, the concept of
Which is unfortunate. Like the idea of the world utilizing the free, non-polluting energy that a fusion plant would offer, on paper ZBB promises objective, data-based baselines for every budgeting phase that would allow decision-makers to only work with what’s real and current, not what happened last year, or even farther back.
The proposal with ZBB is that by mandating a comprehensive justification and validation of each expense, rather than relying on historical spending patterns, organizations can remove possible blockers within their procurement processes. This approach aims to ensure that what you’re doing is the numerically provable best case for the specific circumstances at hand.
This approach certainly holds immense appeal, so much so that Jimmy Carter
The factors putting ZBB back on the table
History and controversy aside, the core idea of ZBB is clear — it presents CFOs with an approach that mandated comprehensive justification and explicit approval for all expenditures during each new budgetary cycle, typically at the outset of the financial year. This process ostensibly offered CFOs a way to make relevant decisions against a true picture of the company’s cash flow.
But ZBB never truly went away. In fact, it is experiencing a resurgence. Consulting firms like McKinsey have
ZBB idealism is also happening at the micro-level, with social media influencers
The question then becomes how would we make ZBB, long an ideal but one that proved too difficult to implement, work at the enterprise level? It turns out, a viable way exists, or at least we can start the process to get there.
And you won’t be surprised to learn that the game-changer here is AI.
A way to open the door to ZBB
Currently, the spotlight within the artificial intelligence domain is on finding use cases for AI to solve real business problems. Organizations have been at the forefront of this endeavor for several years through an approach we term “autonomous sourcing.”
Specifically, organizations using an autonomous spend management approach source can purchase as many new services and vendors as they need within a given budgetary cycle. However, this process is underpinned by not just genuine and up-to-date market data, but also with the benefit of a corporate knowledge bank. This knowledge base facilitates multidimensional comparisons, enabling organizations to evaluate purchases not only longitudinally (against previous periods) but also orthogonally, meaning across different business units within the enterprise.
This may not be the precise dictionary definition of ZBB. But it represents a radical change from the lack of data and visibility CFOs have struggled with and a way to open the door to the underlying vision of ZBB: data-driven financial accuracy.
This autonomous spend management approach resonates with organizations seeking to rationalize and optimize their budgeting processes, often commencing with their procurement operations. These forward-thinking entities inherently grasp the transformative potential of leveraging machine learning and generative AI capabilities to tackle the sourcing problem.
And the convergence of machine learning, generative AI and autonomous sourcing platforms presents organizations with the ability to realize approximately 90% of the ZBB ideal in the present day. That’s happening via organizations using autonomous sourcing to consciously and strictly seek to rationalize every purchase and make data-driven decisions on every vendor relationship.
The commitment to data-driven evaluation of vendor relationships is actually super-important on the path to any form of zero-based decision-making basis. Why? Because it’s your best way of ensuring that you’re not locked into any partnerships or contractual arrangements that aren’t continuing to add value.
Even starting to explore this area of spend with proper data and analytical tools can move organizations off the proverbial sandbar of inefficiency. Last year, for instance, the Mays Business School published
The exciting prospect lies in the potential for modern businesses with diverse spending categories like marketing, HR, sales, IT, finance, and others to capitalize on significant cost-saving opportunities through AI-powered procurement solutions, e.g., accurate supplier sourcing and matching, e-negotiation and automated awarding capabilities.
ZBB’s future is now, not 30 years off
President Carter’s administration wanted to achieve such objectives and possibly on paper could have done — if they had all the time in the world, and exclusive access to the entire computing power of the United States at the time.
But even under those circumstances ZBB might not have worked — as without the efficiencies afforded by AI, ZBB would require manual sourcing, selecting, bidding, negotiating and awarding for every single purchase and vendor relationship in the business.
The truth is, fulfilling every aspect of ZBB manually, as envisioned by its originator,
Weighing it all up, maybe we can retire the notion that ZBB is the accounting industry’s version of fusion.
Instead, we can use the power of autonomous sourcing to perform the equivalent of fusion in the back office.
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The World Bank is ditching its commitment to steer 45 percent of its spending toward projects with climate benefits, after facing pressure from the Trump administration.
The move, announced Monday following a meeting of the bank’s board of directors last week, marks a victory in President Donald Trump’s effort to purge climate policies from U.S. foreign policy. His administration has described the target as “distortionary” and “nonsensical.”
The bank preserved its broader Climate Change Action Plan — of which the 45 percent target was a key metric — just days before it was set to expire at the end of June. In addition to directing money toward climate projects, the plan provides technical support for helping countries reduce their greenhouse gas pollution and adapt to rising temperatures.
“We will retire the 45% climate co-benefits target,” the World Bank Group said in a statement, noting that it had “done significant work in answering client demand and needs.”
The bank’s work on climate “is and will remain firmly client driven, supporting them in delivering on their own ambitions as set out in their national plans and NDCs,” the statement added, referring to the nationally determined contributions countries submit under the Paris Agreement.
The decision to drop the climate finance target follows months of pressure from the Trump administration. People with knowledge of the negotiations said the U.S. was firm that the target must go despite other countries indicating their support for the bank’s climate goal. The U.S. has sway over the bank’s decisions as its largest shareholder.
Beyond the finance target, the Climate Change Action Plan also provides diagnostic reports on countries’ climate and development goals and aims to align lending with the Paris Agreement, which calls for preventing temperature rise from surpassing 2 degrees Celsius since the Industrial Revolution.
The bank said it would honor a board request to undertake an independent evaluation of the climate plan to determine if it’s helping countries grapple with rising temperatures. The decision effectively extends the plan beyond its expiration at the end of June.
The climate target was supported by many of the bank’s shareholders. It’s also been a prominent signal of the bank’s support for climate action at a time when the impacts of rising temperatures are accelerating.
“This is way, way away from where we should be for a responsible financial architecture,” said one official from a developed country who was directly involved in the negotiations and was granted anonymity to describe internal discussions.
The bank will continue to track and report on the amount of money going to projects with climate co-benefits. It exceeded its own target last year by directing 48 percent of its financing to climate-related projects.
Other climate targets embedded in agreements that govern different arms of the bank will remain, including one for the International Development Association, the bank’s fund for the poorest countries.
Multilateral development banks play a key role in global climate negotiations, where wealthy countries have committed to helping provide $300 billion a year for poorer countries by 2035. That no longer includes the United States, which has left the Paris Agreement and will exit the underlying United Nations Framework Convention on Climate Change early next year.
“Targets send enormous signals about an institution’s direction of travel,” said Clemence Landers, a senior fellow at the Center for Global Development. “At the same time, it’s a sign of the times and the World Bank is doing its level best to not rankle its largest shareholder.”
She believes the bank will continue financing renewable energy projects in countries that want them, despite having dropped its climate target.
“I wouldn’t be shocked if the bank continued to have an extremely robust clean pipeline with or without this target,” said Landers.
The bank says retiring the 45 percent target is part of its shift from a focus on “inputs to outcomes.” It will continue to monitor and report net greenhouse gas emissions across its projects and countries’ ability to withstand climate risks.
“We will continue to report to the Board on progress, including on climate co-benefits, and to contribute to our related joint MDB efforts,” the statement said, referring to its role as a multilateral development bank. “We will explore and discuss ways to better structure our engagement on adaptation, nature and pollution.”
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