Artificial Intelligence is not a passing trend. It is already transforming how businesses operate and compete.
Pablo Garner, part of AI consultancy Champions (UK) plc’s leading AI & technology team, delved into how modern companies can ensure they are prepared for automation.
The importance of being prepared
“I’ve seen first-hand how companies are using AI to automate repetitive processes, enhance customer experience, and enable more informed decisions. Sectors including finance, healthcare, retail, and manufacturing are already unlocking real opportunities through practical AI implementation.
“That said, the benefits of AI are only realised when there is adequate preparation. Without that, businesses risk making costly errors or missing valuable opportunities. I often advise organisations to step back and assess their readiness before moving forward. A well-considered approach lays the foundation for long-term success with AI.”
Understanding exactly what AI is
“Understanding AI begins with clarity on what it actually is. AI describes technology built to carry out tasks typically performed by humans, interpreting language, identifying patterns, and making decisions. The most common forms I encounter in business environments are machine learning and natural language processing.
“Machine learning involves algorithms that learn directly from data. Natural language processing powers systems like chatbots and voice assistants, allowing them to understand and respond using human language.
“AI has become significantly more accessible, and it is no longer limited to large tech firms. Businesses of all sizes now apply AI to streamline customer service, predict demand, refine supply chains, and deliver more relevant marketing. For many of our clients, AI is becoming a competitive necessity rather than a future consideration.
“But the key question remains, is your business ready?”
Checking your AI readiness
“Data is always the first area I examine. AI depends on having access to accurate, well-structured, and reliable data. If your systems are fragmented and teams cannot share information easily, it becomes extremely difficult to implement AI effectively. Data silos are still a major barrier in many organisations I work with.
“Technology infrastructure also plays a critical role. Your current systems need to be compatible with AI software and capable of scaling as demands increase. Many organisations I assess require targeted upgrades before they can support AI applications with any reliability.
“Skills and knowledge are also another essential consideration. You need to determine whether your existing workforce has the capability to manage AI tools or whether additional training and recruitment are needed. Because the technology is evolving quickly, teams must be equipped to keep pace with new developments.
“Readiness for change within the business is equally important. An organisation’s willingness to adopt new technology influences how successful its AI initiatives will be. I often recommend identifying and addressing resistance early on. AI projects also tend to require collaboration across departments, so I look closely at whether a business environment actively supports this kind of interaction.”
Ethics and training
“Ethical considerations cannot be overlooked. From the beginning, you need to ensure your use of AI complies with data protection regulations like GDPR. Beyond legal requirements, responsible AI use requires transparency and fairness. Establishing clear ethical guidelines at the outset helps avoid complications later.
“For those ready to move forward, the next step is developing a clear AI strategy. I advise aligning AI efforts directly with business goals. Start with a focused project that offers clear, measurable results. This builds confidence and demonstrates value early.
“Investment in the right technology is also essential. Infrastructure improvements may be necessary, and any AI platform or software selected should suit the specific requirements of the business.
“In terms of people, training existing staff in essential AI skills is often a good starting point. Where capability gaps remain, bringing in experienced AI specialists can accelerate progress and avoid missteps.
“Creating a workplace that understands the strategic value of data is key. A data-aware culture, where employees recognise the importance of data and collaborate across departments, makes AI deployment much more effective.”
The cruciality of governance
“Strong AI governance is the final component I focus on. You need policies in place that define how AI will be used ethically and effectively. Regular reviews are important to ensure AI systems remain compliant, functional, and aligned with your business objectives.
“AI is more than a technical upgrade. It is a strategic move that can drive growth and build resilience. Businesses that take the time to assess their readiness and build a solid foundation will be positioned to lead, not follow, as AI continues to evolve.
“Now is the time to start that process. The earlier you begin, the better prepared you will be to take advantage of what AI has to offer.”
Champions (UK) plc is a leading growth partner which specialises in AI and technology implementation solutions. To find out more the company, visit https://championsukplc.com/
