INSIGHTS REPORT
Download our executive report and discover how leading organisations are moving from AI experimentation to enterprise-wide impact.
COMMON BARRIERS
Many organisations know they need to do more with AI. Technology leaders feel the pressure to get ‘something’ working to keep the business happy, but deep down, they know this isn't as easy as ‘just do AI’. It's about communicating the work behind AI, but how?
Change the conversation to “what business outcomes are we trying to achieve and what needs to change to make it happen?” Our guide helps translate AI ambition into a practical business case, with language the Board can buy into, and with clear ownership and direction.
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COMMON BARRIERS
The CIO knows the reality: weak data foundations, poor integrations and limited capacity mean a handful of AI pilots are unlikely to deliver value. The most effective CIOs do not simply say yes or no. They acknowledge the ambition behind the request, then guide the conversation towards outcomes: what the business wants to achieve, who will benefit, what needs to change and how success will be measured.
Being the leader who changes the conversation: A framework for execution. The B.O.A.R.D framework: Translate technical complexity into board-level language, helping technology leaders communicate AI initiatives in business terms.
COMMON BARRIERS
No matter how advanced, AI built on inconsistent, incomplete or poorly governed data will not produce dependable results at scale. When NashTech asked 1,000 technology leaders, only 20% selected the data layer as a priority for investment. Prioritising the model layer, even though weak data foundations and training challenges account for roughly 70% of AI failures.
COMMON BARRIERS
Integration is one of the biggest barriers to moving AI from pilot to production. The challenge is not just that technology estates are old. It is that they are complex, with data silos, fragmented processes, and immature integration practices.
For AI to create value at scale, data needs to be accessible across the business to the people and systems that need it, while remaining protected by the right governance and controls. Download the flagship report on closing the gap between AI ambition and execution for more practical guidance on creating the conditions for measurable, scalable value.
COMMON BARRIERS
CIOs and technology leaders cannot carry AI transformation alone. Sales, operations, finance, data, compliance, and leadership all need clear roles for AI to work at scale.
Don't let AI pilots stall before production. Our AI pilot-to-production assessment tool helps business and technology leaders identify readiness gaps, align stakeholders and determine the right next step for every AI initiative.
COMMON BARRIERS
Teams are being asked to move faster and support more AI-enabled use cases, often without the specialist skills, infrastructure or operating model needed to keep pace.
As AI starts supporting routine decisions and workflows, teams' focus will shift towards human-centric areas. In many businesses, it is already happening informally, without the supporting structures, training or governance to make it sustainable. Employees need the confidence and skills to use AI responsibly, and procurement teams need to know how to assess the capabilities of external partners.
Assess whether your AI pilot is truly ready to scale. Download our AI pilot-to-production assessment tool to identify readiness gaps, align stakeholders and make confident decisions about moving from pilot to production.
Ready to move beyond AI pilots?
Discover the full potential of AI with an AI implementation partner that combines strategy, engineering and delivery excellence to drive real business outcomes.
HOW NASHTECH HELPS
We don’t just implement technology, we solve business problems. Our teams combine deep technical expertise with a practical, human approach to deliver solutions that work in the real world, not just on paper.
We’re your partner for long-term transformation - many of our client relationships span years because we focus on delivering lasting value, not short-term consulting engagements. And with more than 26 years of delivering complex technology solutions, we understand how innovation works in real organisations - not just in theory. You get honest advice, practical solutions, a team that cares and a partner that is completely invested in your success.
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Insights
AI pilots often fail to move into production because they are not tied to the right business problems, lack governance structures that give leaders confidence to scale or fail to prove value in board-level terms. To move beyond experimentation, technology leaders need to map AI opportunities to measurable outcomes, build governance into the programme from the start and create a commercially credible case for production.
AI initiatives often stall at pilot stage because organisations try to scale before the foundations are ready. In part one of this two-part series, we explore three common barriers: Data that is not AI-ready Limited internal AI expertise Integration debt that prevents AI from connecting with the wider business. The takeaway for technology leaders is that moving from pilot to production requires sustained investment in data, capability and connected technology foundations.
Why logistics leaders don't need more technology. They need the right technology. Logistics has never been short of pressure to innovate. Rising customer expectations, tighter margins, supply chain disruption and increasingly complex operations have made technology essential to staying competitive.
For years, enterprise technology strategy followed a familiar pattern: buy proven platforms, configure where necessary, and avoid the perceived risk of building from scratch. That model is being quietly but decisively rewritten, and with leaders under more and more pressure to grow revenues, differentiation through custom software and AI, is critical. NashTech’s global study of 1,000 technology decision-makers shows just how AI is accelerating changes in technology strategy, with 85% see AI as an immediate priority in custom software development. Even more telling, 97% believe AI has made custom software more accessible than ever before. The barriers to building have fallen, but the strategic stakes have risen.
