Align with objectives

AI is quickly setting new standards for how businesses operate day-to-day, freeing up capacity and increasing efficiency. As the technology continues to develop, it will shape boardroom discussions and decision-making across all sectors.

The businesses that will succeed won’t necessarily be those that rush to implement the latest systems, but rather those that focus on building an intentional AI strategy. Before launching the latest tool, leaders should first review their existing IT estates to determine what problem they are trying to solve, and ensure any transformation projects are aligned with wider business objectives.

1. Understand your digital landscape

Many organisations get caught up in the ‘AI race’ of introducing the latest tech, without taking the time to ensure it aligns with their current IT estate. New tools should streamline and optimise the existing environment, rather than being implemented as a blanket solution to underlying issues.

Across public and private sectors, outdated systems, duplicated processes and siloed applications often result in inconsistent, poor quality data. If new tools are introduced without this being addressed, AI outputs will be unreliable and fragmented. Having a clear view of the internal digital landscape, how data is stored, and how employees are already using AI is essential before introducing new tools.

2. Review all solutions

When organisations rush to get the latest tools or apps, they risk overlooking solutions that may be more cost effective and reliable, in favour of ambitions to pursue complex AI systems.

Before AI is incorporated, businesses can take the opportunity to optimise processes through digitalisation, standardisation and automation. For example, digital solutions can remove repetitive tasks, improve workflows and simplify operations. This delivers real benefits without the cost and risk of large-scale AI programmes. When these foundations are in place, businesses will also be in a better position for implementing AI and having the capabilities to scale it in a safe and effective way.

3. Use governance to drive growth

Good governance is vital for any successful digital transformation. Without it, businesses risk inconsistent decision-making, security concerns and misaligned projects.

When done right, governance can help to scale innovation safely, efficiently, and for lasting value. As new systems are introduced, organisations can set up dedicated, internal committees, or a designated AI officer, to strengthen governance processes. This allows for consistent review of the IT estate, identification of new areas for AI implementation and smoother handling of potential issues.

4. Prioritise people

Conversations around AI often raise internal hesitancies and fear about its implementation. If this isn’t addressed from the outset of a change journey, these concerns can quickly undermine delivery.

People are at the heart of any transformation, and businesses need to consider this before introducing new systems. Targeted training programmes and clear internal communications can:

  • help to address knowledge gaps
  • alleviate concerns
  • allow AI to be integrated into day-to-day operations more smoothly

AI can offer both significant opportunity and risk for businesses looking to integrate new solutions. It can be easy to fall into a trap of adopting the newest technology. However, delivering AI without the right strategic alignment will only result in projects failing to deliver lasting value and ROI.

When organisations get the fundamentals right, establish effective governance and bring people with them, they can unlock AI’s potential for sustainable growth.

Read more about implementing AI effectively with good leadership.