Valuemaxxing: why it matters and how leaders can master it
AI is reshaping business fast. Learn how “valuemaxxing” helps leaders align ROI, governance, and FinOps to maximise technology investments.
Published on 13th May 2026
In recent years, the technology landscape has been a whirlwind as AI reimagines nearly every longstanding process. Globally, teams are expected to navigate market shifts, drive innovation, and respond to sudden disruption, all while juggling competing priorities and proving ROI. Sounds easy, right?
For most, navigating the AI landscape is a challenge. With CFOs focusing on ROI, CIOs managing governance, technology leaders championing tech optimisation, and boards and investors prioritising outcomes, everyone has their own agenda and key metrics to march toward. Yet this growing list of competing demands has become difficult to manage cohesively, leading to increasingly rash pivots and continued missteps by large organisations.
As we continue riding the wave of the AI hype cycle, it’s imperative that businesses look beyond siloed success metrics and focus on the overall organisational impact. A market-wide reset is needed: one where leaders realign priorities and prioritise company-wide value. We’re entering an era defined by a new term: valuemaxxing.
What is Valuemaxxing?
To keep pace with the fast-moving, AI-driven technology landscape, leaders are quick to adopt the newest, hottest innovation, but few are stopping to ask “is this adding real value?”. This is where valuemaxxing comes in, challenging the need for more tools, more tokens, or more spend…and pushing for more return, more accountability, and more control.
Looking ahead, enterprises must shift from usage-maxxing to valuemaxxing, bringing together visibility, governance, and financial accountability to maximise their technology investments. Organisations can begin to master the art of valuemaxxing by:
Creating Structured Oversight
While technology is becoming the largest line item on many balance sheets, there’s still a lack of structured oversight. To make the most out of investments, organisations must stand up new AI-focused teams and metrics to promote intentional investment, performance measurement, and lifecycle governance – much like HR teams. In a world where technology does more work than ever, it must be managed with the same rigour and discipline as talent.
Eliminating Application Redundancy
Today, there’s a new application for everything – and unknowingly, many organisations may be paying for duplicative, underutilised or unneeded resources. To mitigate application sprawl, it’s important to have complete inventory across your on-premises, SaaS and cloud environments to ensure you’re not paying for applications you don’t need. This is where FinOps can step in, offering organisations the visibility required to overcome unnecessary technical debt.
Ditching Technology Short Cuts
Many organisations are latching onto shortcuts to propel innovation. A recent example of this is “vibe coding,” the use of AI to generate, refine, and debug code. While this offers clear short-term benefits like speed, accessibility, and lower upfront cost, it often comes with trade-offs in reliability, security, and long-term maintainability. These shortcuts will only harm organisations’ output in the future, and those that continue to operate with intention will come out on top.
Valuemaxxing is emerging as a necessary reset for how organisations think about technology in an AI‑driven world. Differentiators will be those who can consistently tie technology decisions to measurable, enterprise‑wide outcomes. Leaders that prioritise visibility, governance, and accountability will be better positioned to stay in control amid the innovation-frenzy.
What do you think of this new buzzword?
Something you've already been doing - even if you've not been calling it valuemaxxing?
Or the start of a good idea? Or perhaps just a new fad?
Let us know your thoughts.
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Image Credit
Dilok Klaisataporn via Vecteezy