Four Things High Performing Organisations Do Differently with AI

AI is now firmly on the agenda for almost every organisation. Many are piloting and experimenting but despite this momentum, meaningful business value remains limited and confined to a small subset of organisations.

Industry research from McKinsey and MIT highlights the scale of the challenge. MIT’s research suggested most AI pilots fail to achieve ROI, while McKinsey reports that only a small proportion of organisations can attribute material EBIT impact to AI initiatives.

This exposes a common problem: many organisations are experimenting with AI, but far fewer are scaling it in a way that delivers real value. This is a personal frustration of mine because, at Robiquity, we see the opposite every day – our customers are achieving meaningful outcomes (on average, 5-10 times return on their AI investment).

So what’s the difference? What consistent behaviours are helping these organisations move beyond experimentation and avoid this common pitfall? Here are my top four.

1.    Looking Beyond Operational Efficiency

Efficiency is often the starting point for AI initiatives. Reducing manual effort, improving productivity and lowering costs are all compelling drivers and reasons we’ve all heard for AI adoption. The most successful organisations look beyond efficiency alone, considering a broader range of value drivers including growth, innovation, resilience and strategic differentiation.

Early in our customer engagements, we work with stakeholders to define their value drivers that align to their strategic objectives. This reframes thinking from incremental improvement to transformational opportunity.

By broadening the definition of value, organisations arebetter positioned to identify use cases that create a true competitive advantage rather than simply optimising existing processes. Rethink rather than rework!

2.    Embedding a Culture of Innovation

Technology alone is not enough. Successful organisations actively cultivate a culture that supports experimentation and innovation. Leadership plays a critical role, with senior stakeholders championing AI adoption and positioning it as a strategic priority.

This top-down support helps reduce risk aversion and encourages teams to explore new ways of working. At the same time, a bottom-up approach is equally important. Employees closest to day-to-day operations are often best placed to identify where AI can deliver meaningful impact.

Engaging the workforce early also helps address concerns about new technologies and ensures people are ready to adopt new ways of working. Without this cultural foundation, organisations often struggle to realise the full value of their AI investments or have the bravery to take the first step.

3.    Scaling Beyond Pilots

Rather than focusing on isolated pilots, leading organisations are taking an enterprise-wide view of AI and identifying opportunities across multiple business areas. This is where the real magic (and ROI!) happens.

This requires careful prioritisation, balancing potential value against feasibility, complexity and risk. Organisations investing the time upfront to assess these factors are those that are better positioned to scale successfully.

4.    Reimagining How Work Gets Done

Leading organisations recognise that AI delivers the greatest impact when workflows are redesigned, not simply enhanced. Rather than layering AI onto existing processes, they rethink how work should be done in an AI-enabled environment.

This often means challenging long-standing assumptions, redefining roles and redesigning end-to-end journeys. Without this step, AI risks simply amplifying inefficiencies rather than removing them.

There is fundamental value in applying service design approaches to support this transformation. By taking a user and customer centric perspective, organisations can reimagine future state processes whil ensuring they remain grounded in operational reality. In turn, maximising adoption and unlocking greater value from the AI solutions built.

Moving from Pilots to Real Value

Organisations that realise real value from AI take a deliberate approach – they achieve value by design, not by accident. These are the organisations moving seamlessly beyond pilots, redesigning workflows, fostering a culture of innovation and scaling strategically.

If you are thinking about how to move from AI experimentation with pilots to meaningful impact, get in touch with us today to discuss how we can help identify the opportunities that will deliver the greatest value and accelerate your AI journey.