Learn to build a successful AI strategy with a 'start small, scale fast' approach, ensuring quick wins and long-term value in your AI journey.
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We’ve seen many organisations spend a ton of time mapping out their AI strategy by hunting down use cases, setting up governance rules, wrangling their data, and splurging on tech. However, this process just ends making you feel like you are not making any progress, tying you in knots, and even worse it can lead to your work being questioned before it has even really started.
Instead, we recommend starting small and scaling fast and in this blog we are going to help you apply this approach in your organisation to ensure that your AI implementation delivers real value.
So what exactly do we mean?
Unless you already have great data, technology, a big fancy AI team, and very supportive leadership you are going to have to prove that AI technology works quickly and drives value to get buy-in. It’s not that you are not going to think big, but you need a stepping stone to the big transformation that AI will bring. All too often we have seen projects fall down by starting big and failing to deliver value quickly enough.
Remember, organisations don’t want to be waiting for years to see any tangible progress, they want to see results fast, they want to see that their investment is paying off and you are on the right track. This will then enable you to work on the long-term priorities that will deliver even more value to the organisation.
So, how do you go about finding that first AI project that is going to deliver big benefits, quickly, enabling you to start small, get buy-in and scale quickly.
Within your organisation you are looking for the quick wins, these are often found in the tasks that are very manual for employees or customers, using what we call unstructured data, so voice, text, and video. These are the ones that are ripe for your first application of AI as they:
Focusing on these types of projects will get you the buy into think bigger and help smooth the way for using AI across your organisation.
As you can see, these are such great first use cases, as they have a direct return on investment, can be easily quantified, and the benefits are easy to understand by everyone.
Augmentation is another avenue for embedding AI, but in a lot of instances the benefits are harder to quantify, and they aren’t as transformational.
Starting to build an AI strategy may seem daunting, especially for those not from a deep technical background. However, while your AI strategy will be unique to your organisation and its goals and challenges, there are core elements that every organisation needs to cover to break down the challenge of adopting AI and sell the vision to senior leadership and your peers.
Every organisation needs a plan for embracing AI, but putting together an AI strategy shouldn’t be a painstaking process that takes months and put you on the back foot.
By following the framework and guidance in this blog, and focusing on quick wins to deliver results quickly, you can set yourself up for success.