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AI makes zero-based budgeting a practical finance tool

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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— they’ll say the same thing.

In finance and procurement, the concept of zero-based budgeting has long been a bit like the pursuit of fusion power: more of an aspiration rather than something any real-world corporation can actually implement today. 

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.

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This approach certainly holds immense appeal, so much so that Jimmy Carter tried and failed to make federal government adhere to this discipline in the second half of the 1970s. However, ZBB never really gained traction or widespread adoption, and so its aspirations were largely relegated to the realm of “theory taught in business schools but lacking practical viability.”

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 reminded us that if we could weigh the value of every dollar and start afresh with every budget cycle we could mitigate the risks associated with operating on outdated information and boost overall performance outcomes.

ZBB idealism is also happening at the micro-level, with social media influencers hopping on the ZBB bandwagon. Influencers like Beth Fuller have attributed their ability to pay off credit card debts to following online content creators who advocate for ZBB principles.

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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. 

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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 research that concluded the simple act of tracking a single category of expenditure can catalyze a reduction in overall spending.

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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, Pete Phyrr, is an insurmountable task for humans. However, using the power of AI to automate numerous processes, alongside giving  individual business units the autonomy to source and complete their own purchases through autonomous sourcing, means ZBB becomes not just practicable, but essential in today’s dynamic business landscape.

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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.

Finance

Bank Regulation and Risks to Financial Stability | The Regulatory Review

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Bank Regulation and Risks to Financial Stability | The Regulatory Review

Scholars examine bank and cryptocurrency regulation and assess potential risks to financial stability and resilience.

Federal banking regulators recently proposed rules to implement the Basel III Endgame framework. Global banking regulators developed the Basel III framework after the 2008 financial crisis to strengthen bank regulation, supervision, and risk management through a set of international standards. The final set of rules to implement the framework has been dubbed “Basel III Endgame.”

Although regulators originally planned to finalize and implement the Basel III accord by the beginning of 2023, countries have repeatedly delayed implementation while tailoring the framework to national interests and as banks and policymakers around the world increasingly embrace a more deregulatory approach.

The updated proposal follows a 2023 proposal from the Biden Administration that drew criticism for threatening to impose burdensome capital requirements on U.S. banks that could reduce lending and credit availability. Regulators argued that strengthening risk-based capital requirements for large banks would promote financial stability and resilience, but critics contended that the proposal could instead restrict banks’ lending capacity and push lending and traditional bank activity into more lightly regulated shadow banking sectors, such as private credit.

The latest proposal departs significantly from the 2023 proposal and would reduce the regulatory burden on large banks. The banking industry has applauded the recent deregulatory push, but critics warn that this approach risks weakening bank regulatory infrastructure only a few years after several major bank failures revealed ongoing gaps in bank supervision. Silicon Valley Bank’s collapse in 2023 marked the third-largest bank failure in U.S. history and required major emergency intervention. Although U.S. bank regulators largely contained the fallout and prevented contagion risks, the episode highlighted ongoing systemic risks to financial stability.

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Debate over U.S. banking regulation also coincides with financial innovation and the rise of cryptocurrency, which have upended traditional financial services. The proposal comes less than a year after Congress passed the GENIUS Act, which established a baseline framework for stablecoin issuance. The GENIUS Act represented a significant regulatory breakthrough in a rapidly developing industry but left open many questions about its implementation and the future of cryptocurrency and stablecoin regulation. Federal regulators recently proposed rules to begin implementing the GENIUS Act framework, which will take effect in January 2027.

In this week’s seminar, scholars explore and offer competing views on current risks to the banking system and financial stability and identify potential regulatory vulnerabilities, including new payment systems tied to cryptocurrency.

  • In a National Bureau of Economic Research working paper, Stephen Cecchetti and co-authors advocate implementation of the Basel III Endgame standards and higher U.S. capital requirements for large banks. They argue that criticisms of the 2023 proposed regulations are not supported by data and that heightened capital requirements do not reduce bank lending. The authors warn that failure to align U.S. regulations with the international Basel III standards could start a deregulatory race to the bottom that would undermine global banking stability.
  • In an article in the University of Illinois Law Review, American University Washington College of Law Professor Hilary Allen explains that financial stability risks can arise from often-overlooked sources beyond the traditional banking sector, such as venture capital. Using the venture capital industry as a case study, Allen contends that speculative sectors such as cryptocurrency can pose risks when regulatory oversight is weak. She argues that effective banking regulation of emerging risks requires a more proactive, systemwide approach, including increased monitoring of risks arising from venture capital investment and more aggressive securities law enforcement against cryptocurrency activities.
  • In a Stanford Law Review article that predates the GENIUS Act, Gabriel Rauterberg and Jeffrey Zhang argue that shadow banking, including stablecoin issuance, should fall under securities regulators’ oversight. Shadow banking covers a broad range of activities that resemble banking but fall outside the traditionally narrow bank regulatory perimeter and lack banking regulation. As a result, shadow banking receives significantly less regulatory oversight, creating vulnerability and instability in the financial system. The authors contend that many shadow banking activities fall within securities law’s purview and that securities regulation should promote systemic stability by working with traditional bank regulation.
  • Financial regulation has not kept pace with the financial system’s rapid changes, University of Pennsylvania’s Wharton School Assistant Professor of Finance Yao Zeng asserts in the International Monetary Fund’s Finance & Development quarterly publication. Zeng frames stablecoins as innovative in form but economically familiar in function and financial vulnerability. He argues that although stablecoins promise faster, cheaper, and more accessible payments, their bank-like economic functions and lack of protections such as deposit insurance and lender-of-last-resort support create familiar risks to financial stability. Zeng proposes that regulation should depend more on function than label: if stablecoins perform bank-like monetary functions, they should provide similar safeguards.
  • In a Delaware Journal of Corporate Law article, Arthur E. Wilmarth argues that the GENIUS Act institutionalizes nonbank stablecoin issuance, a practice that carries severe economic risks and lacks offsetting benefits. Wilmarth contends that nonbank stablecoin issuance undermines traditional banking and allows nonbank entities, such as tech firms, to perform bank-like functions without proper regulatory safeguards. He argues that the resulting ecosystem carries significant risks for financial stability and maintains that stablecoin issuance should be limited to FDIC-insured banks to ensure that adequate protections safeguard depositors’ money.
  • In a recent article in the Quarterly Review of Economics and Finance, Roanoke College’s Zane Mullins addresses common critiques of stablecoins and pushes back against the view that stablecoins pose risks to the financial system. Mullins proposes a narrow stablecoin framework that would allow stablecoin issuers to settle payments with common central bank reserves. He argues that this framework would mitigate credit and liquidity risk by giving all stablecoin issuers similar access to a common settlement medium. Mullins contends that the framework would also address interoperability concerns, promote a level playing field among issuers, and mitigate counterparty risk.
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Evoke Entertainment Closes $35 Million Production Financing Facility Backed By Major Private Credit Fund

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Evoke Entertainment Closes  Million Production Financing Facility Backed By Major Private Credit Fund

EXCLUSIVE: Evoke Entertainment has closed a senior secured production financing facility of up to $35 million backed by a multi-billion-dollar private credit fund.

While we verified the deal with the lender, they spoke with Deadline on the condition of anonymity, per company policy. The revolving production facility is designed to support Evoke’s expanding slate of independent features, television movies, streaming films, and series — significantly increasing the company’s already high-volume production output across major studios, networks, and streaming platforms.

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Structured around contracted revenue streams, distribution agreements, tax incentives, and the value of Evoke’s existing library and historical production performance, the facility provides the company with flexible, scalable production financing across multiple genres and platforms. Evoke’s lender comes to the partnership with extensive experience in structured finance, asset-backed lending, and entertainment-related investments.

The deal was spearheaded by Evoke Entertainment CEO Stan Spry, who told us, “This financing marks a transformative moment for Evoke. The backing of a major institutional private credit partner gives us the ability to substantially scale our production operations while continuing to focus on commercially driven, cost-efficient content for the global marketplace.”

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The first projects to be financed under Evoke’s facility include a large slate of TV and streaming movies including a Christmas film for Hallmark, a survival thriller for Lifetime, alongside the independent feature films Suburban KingsHomesick, and Bali Hai.

Founded in 2011, and formerly known as Cartel Entertainment, Evoke Entertainment is a full-service management, production, and finance company that produces more than 20 films and series annually across major platforms including Netflix, Hallmark, Lifetime, Tubi, NBC/Peacock, AMC, and Great American Media. Notable past projects include Creepshow (AMC), Day of the Dead (Syfy), Twelve Forever (Netflix), and the upcoming Breaking Bear for Tubi, to name a few.

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Livestock Methane in India: Aligning Livelihoods, Systems, and Finance – CPI

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Livestock Methane in India: Aligning Livelihoods, Systems, and Finance – CPI

Background

India is home to the world’s largest livestock population of 536.76 million, which produces 25% of the world’s milk1. This increase in livestock population leads to increased methane emissions, primarily from enteric fermentation and manure management. As a result, livestock contributes to 58% (BUR 4, 2020) of India’s agricultural methane footprint. However, unlike crop-based emissions, livestock methane is diffuse, biologically driven, and more complex to measure and manage, making it less visible within existing climate finance frameworks.

Current research and policy discussions indicate that while technical mitigation solutions exist through feed improvements and manure management, evidence of their effectiveness in maintaining dairy productivity, animal health, and protecting farmers’ incomes is scattered. This leads to heightened risk perceptions among dairy producers when considering methane mitigation measures. Furthermore, even where the evidence is compelling, the fragmentation of dairy producers precludes their aggregation. Additionally, there is a lack of robust, affordable, and scalable monitoring, reporting, and verification (MRV) systems at the grassroots level. These barriers prevent the development of a clear, scalable, and financeable pipeline of livestock methane abatement in India.

The Government of India has actively supported dairy development and livestock health through various schemes and programs introduced by the Department of Animal Husbandry and Dairying. At the same time, livestock systems in India are deeply embedded within rural livelihoods and socio-economic structures, making the sector a critical component of rural resilience. Consequently, interventions must be context-aware and farmer-centric, with a strong focus on livelihood security and alignment with local values and practices.

With this background, CPI is organizing a roundtable to explore how livestock methane can transition from a technically understood challenge to actionable opportunities on the ground, including both animal feed and manure management. The forum would bring together dairy producer organizations, nodal agencies, think tanks, ecosystem enablers, and financial institutions. It will deliberate upon possible projectized solutions and accompanying financing mechanisms that could be scaled up to address the twin objectives of methane abatement and farmers’ income security.

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