Boards are increasingly asking a simple question: where is the return on AI investment?
It’s a fair challenge. Investment is rising, expectations are high, and scrutiny is increasing. But for many organisations, that’s proving harder than expected. Not because value isn’t being created, but because it remains difficult to clearly evidence.
Research points to a consistent theme. McKinsey & Company reports that while AI adoption continues to grow, only a minority of organisations are seeing meaningful bottom-line impact, with many struggling to attribute value. At the same time, Deloitte highlights that organisations often lack clear ways to define and measure return, particularly in the context of generative AI. More broadly, Boston Consulting Group shows that transformation success depends heavily on people and behavioural change, areas that are often the least measured and least evidenced.
AI isn’t failing to deliver ROI, it’s failing to evidence it
The assumption is often that the technology hasn’t delivered. In reality, the issue is more fundamental. It is not a lack of value, but a lack of clarity on what return should look like, and how it should be evidenced through measurable changes in performance and outcomes. For some, ROI is about reducing complaints. For others, it’s improving first contact resolution, accelerating speed to competence, or ensuring employees are applying knowledge consistently and compliantly.
The challenge is not a lack of metrics. It’s a lack of clarity, alignment, and the ability to connect investment to measurable change in day-to-day performance. And that’s where many AI solutions fall short. They can be implemented, adopted, and even widely used, but they don’t always provide a clear line of sight between usage and outcome.
Where organisations are starting to shift
What we’re seeing at Elephants Don’t Forget is a shift in how organisations are approaching this. Senior leaders are stepping back to refocus on where value is actually realised – which is through their people, recognising the central role they play in driving performance, particularly in environments where conversations are becoming more complex, more sensitive, and higher risk.
If people are where value is realised, then AI investment, and measurement, needs to follow. In many cases, it doesn’t.
Where most AI solutions fall short
AI investment is still largely focused on providing access to information and driving activity, rather than improving how people perform in role. Many solutions are designed to improve access, speed, or efficiency, providing information more quickly, automating simple tasks, or reducing administrative effort. These are important, but they don’t always change how people perform in the moments that matter. And without that change, organisations can see activity, but struggle to evidence meaningful impact on outcomes.
That’s where our approach is different. At Elephants Don’t Forget, we focus AI investment where it has the greatest impact, on people. We don’t start with the technology. We start with the outcome. Our data and performance experts works closely with customers to define what return looks like for them. From there, we use Clever Nelly to continually assess and build agents’ knowledge, capability and confidence in role, building and measuring the competence required to deliver the desired outcome. Our experts stays close to that process, working alongside organisations to continuously define, measure, and evidence the return being delivered over time.
Where to go next
We’ve brought together a set of real-world examples showing how organisations are using Clever Nelly to improve performance, reduce risk, and deliver measurable outcomes across their operations.
From improving first contact resolution and reducing complaints, to accelerating speed to competence and increasing employee confidence, these examples demonstrate how AI investment can be directly linked to business impact.
Explore the e-book: 10 ways Clever Nelly improves performance