In Conversation: Tony Hall on AI
We recently spoke with Tony Hall, one of our Associates, to understand how artificial intelligence is being applied in real business settings.
Tony brings hands-on experience in technology and project delivery, particularly in complex operational environments. What follows is a reflection on his approach and observations, drawn from practical experience. His insight focuses on how organisations can extract meaningful value from AI while avoiding the hype.
In your experience, what is AI really doing in a business setting?
Tony Hall: “AI often gets portrayed as futuristic or even magical, but in practice it’s much more grounded. On a day-to-day basis, I use AI as a support and research tool. It helps with documentation, root cause analysis, or quickly investigating technical issues that would otherwise take hours. In many cases, it replaces repetitive manual tasks and speeds up problem solving.
One area I’m particularly seeing grow is the use of local large language models, especially in sensitive environments. They let us leverage AI’s capabilities while keeping data secure, so teams can process internal documentation without risking compliance. It’s a practical way to use AI without compromising GDPR or other data protection rules.”
Where is AI delivering value?
Tony Hall: “From my experience, the biggest wins are in operational efficiency. Take aircraft turnaround management as an example. There are so many teams and variables involved. AI lets us analyse large datasets that previously needed manual input or complex spreadsheets. By processing real-time data, we can spot bottlenecks, track turnaround times, and refine processes in ways that genuinely improve performance.
AI is also transforming business intelligence. Integrating AI with platforms like Power BI makes data analysis faster and insights more actionable. Organisations can make better decisions more quickly than ever before.”
44% of businesses report cost savings from AI, often linked to efficiencies in logistics, scheduling, and reporting - Source, IBM
How should we measure AI’s ROI?
Tony Hall: “ROI is tricky because AI doesn’t always produce a direct financial return. Its value often shows up in softer metrics, productivity gains, reduced manual work, faster decision making. Tools like Microsoft Copilot, for instance, summarise meetings, assign tasks, and pull out key actions. That doesn’t replace a person, but it significantly improves team efficiency.
I always advise looking at efficiency as the primary ROI. Compare the old process with the AI enhanced one and track where time is saved or output improves. That’s where you really see the benefit.”
What about cautious organisations?
Tony Hall: “The reality is that your employees are probably already using AI, even if it’s unofficially. Ignoring this isn’t an option. Instead, businesses should provide secure, approved tools and clear policies. In regulated sectors, that’s not optional. Sensitive data on unvetted platforms is a serious risk.
Platforms like Microsoft Copilot, integrated with Microsoft 365, are a good starting point. They allow teams to use AI securely within enterprise systems, rather than relying on public models or personal devices.”
What’s the strategic way forward?
Tony Hall: “Start by understanding how your people are already using AI. From there, replicate that usage safely across the organisation. More mature businesses may go further, building custom AI models trained on internal data. Chatbots that understand your company’s files and processes rather than general internet knowledge.
This shift from generic public AI to internal, business specific AI is where real value lies. You don’t need a general AI that knows everything. You need an AI that knows your business.”
Final thoughts:
AI isn’t a silver bullet, but it’s already incredibly useful when applied with intention and oversight. Whether it’s boosting operational efficiency, improving data analysis, or reducing manual effort, the key is to align AI with real business goals and manage it responsibly. For businesses looking to move from hype to action, the message is simple. Be proactive, be strategic, and be prepared.
If you are considering how AI might benefit your business, a helpful first step is to understand how your teams are already using it. If you would like to discuss how to approach this thoughtfully, feel free to get in touch here.
