From Financial Gatekeeper to Strategic AI Partner
In today’s business environment, CFOs are expected to do more than manage costs, they’re expected to steer the business toward sustainable, intelligent growth. As AI takes centre stage in corporate strategy, the CFO’s role is evolving rapidly. AI investments are now under increasing scrutiny, with finance leaders tasked not only with funding innovation but with proving its financial return. The challenge is clear: how can AI deliver measurable, material value to the business, not just in concept, but in practice?
The reality, however, is sobering. According to PwC, up to 35% of enterprise AI budgets are projected to be consumed by GenAI initiatives, yet few are currently delivering results that stand up to financial scrutiny. Gartner reports that early-stage AI cost forecasts are often off by as much as 500% to 1,000%, leaving CFOs understandably cautious. In this environment, the ability to deploy proven, operational AI that generates immediate returns is not just valuable, it’s essential. Maki was built for precisely this moment.
Scaling AI Requires Multi-Threaded Leadership: Enter the CFO
AI is not a single-threaded initiative. Its complexity, breadth of use cases, and far-reaching impact mean that successful adoption depends on engaging multiple stakeholders, from CIOs building the roadmap, to CHROs managing adoption, to business leaders shaping use cases. CFOs play a pivotal role in this multi-threaded structure: providing financial governance, ensuring value creation, and securing scalable investments.
At Maki, we’ve seen time and again that the most successful AI deployments are the ones where finance leaders are not just signatories, they are strategic collaborators. CFOs bring the rigour and financial lens needed to ensure AI isn’t just adopted, but optimised. They’re essential not only for cost control, but for unlocking AI’s role in enterprise-wide transformation.
The Numbers That Matter: Real Savings, Real Scale
Maki is not a future roadmap or experimental concept. It is a fully operational AI hiring agent that has already generated millions in savings for clients across different sectors. In the BPO industry, for example, Maki supported a global provider in saving $11.4 million USD by automating screening, interviewing, and assessment processes at scale, reducing both time-to-hire and recruiter workload while significantly improving talent outcomes. In the retail sector, Maki enabled one of the world’s most recognisable brands to save $22 million USD by streamlining high-volume hiring across multiple markets, reducing attrition, and accelerating workforce readiness.
These are not theoretical benefits. They are hard financial outcomes, achieved within months of implementation. For CFOs, Maki offers the kind of AI investment that justifies itself in the quarterly report, not just the innovation deck.
Aligning to Financial Priorities: Predictability, Efficiency, and Value
One of the most pressing challenges for CFOs is managing unpredictable and often ballooning AI costs. Many tools on the market promise transformation but require significant consulting spend, custom engineering, and long lead times before any value materialises. Maki, by contrast, is a ready-to-deploy AI platform that slots directly into core talent acquisition workflows and begins delivering results immediately. It automates up to 90% of the hiring process, enabling organisations to reduce recruitment costs, reallocate human effort more strategically, and scale efficiently without increasing headcount.
The impact on time-to-hire is equally meaningful. In many organisations, Maki accelerates hiring by up to three times, enabling faster onboarding, quicker revenue impact, and reduced lost productivity due to vacancies. Just as importantly, smarter, data-driven hiring decisions reduce attrition by 20 to 30 percent, lowering churn-related costs and improving long-term workforce stability; two metrics any CFO will recognise as high-impact levers.
Governance and Control Built for the CFO Agenda
As AI becomes more embedded in enterprise functions, finance leaders are rightly concerned with governance, compliance, and operational risk. Maki was designed with these principles in mind. The platform is fully auditable, privacy-compliant, and aligned with enterprise-level security protocols. Its architecture supports transparency and accountability, essential features for any CFO overseeing digital transformation investments.
Additionally, Maki integrates seamlessly with existing HRIS and ATS systems, allowing finance teams to track cost metrics and workforce trends more easily. This level of visibility makes it possible to forecast more accurately, optimise spend, and embed performance accountability into hiring operations, turning talent acquisition into a managed, data-driven cost centre.
From Cost Avoidance to Strategic Growth
What sets Maki apart is its ability to help finance leaders shift the conversation from “cost of hiring” to “value of hiring.” When recruitment becomes more efficient, predictable, and quality-led, the downstream impact is felt across the business; in faster ramp-up, better customer outcomes, and stronger P&L performance. This is the kind of strategic leverage CFOs are looking for as they evaluate where to place their AI bets.
In McKinsey’s recent AI report, companies that successfully scaled AI were those that reallocated funds from legacy systems to proven, high-impact use cases - with talent transformation high on the list. Maki gives CFOs a path to do exactly that: move away from high-overhead, manual processes and toward a lean, intelligent hiring function that delivers both cost savings and workforce readiness.
Maki Delivers the ROI CFOs Are Looking For
In a time when CFOs must validate every AI initiative against enterprise performance, Maki stands out as a partner that is already delivering. We don’t just talk about AI’s potential, we realise it in operational and financial terms. From double-digit attrition reduction to multi-million-dollar cost savings, Maki is proof that when AI is built for scale, strategy, and governance, it becomes a lever for enterprise value; not an experimental expense line.
CFOs don’t have the luxury of waiting for AI to prove itself. With Maki, they don’t have to.
