Start with nowIt is vital to have a detailed picture of how the business runs today, defining current processes and running costs, the value to the business of repeatable processes, the impact of potential failure and so on. This will help identify where the business might get the best return from any AI investment. Ask what an AI project might achieve and what the desired outcomes are – dig deeper than just “cutting costs”. Is it to reduce expensive errors? Is it about automating repeatable processes? If so, what level of judgement do these require? What about the existing IT infrastructure – is it able to support AI technologies?
Build a centre of excellenceMost businesses hand off responsibility for AI to tech teams. This is a mistake. AI implementations should be operationally-led, with a senior sponsor setting specific goals and deadlines. So put together a multi-disciplinary team to implement the AI strategy. This should obviously include both IT and business process architecture expertise, but it shouldn’t stop there. The more diverse the team is and the more of the business it draws from, the more it’s members will be able to learn from each other. Some input from tech providers is fine, as long as they are not the only voices in the CEO’s ear.
Take incremental stepsThe outcomes are often unknown when it comes to new developments in AI, so try beta testing for a few hours at a time. Measure, tweak and fine tune these experiments quickly based on feedback. Customers won’t mind, especially if a bot solves their problem as efficiently as a human.
Capitalise on sizeCosts are always a concern, but small businesses need not be at a disadvantage. Starting with a blank page, entrepreneurs and SME bosses may actually have the edge: there’s no need to try and unpick legacy systems, and they can move with greater agility during pilots. Arguably, it is growing businesses that will identify the most real gains from AI, too. Without big budgets for pet projects, they have no choice but to focus their investment on something tangible and operationally justifiable.
See the big pictureLook at AI holistically, rather than as a point solution. Consider how the introduction of new technology might impact the shape of the workforce and the structure of the organisation, both in the short and longer term. How will people respond? It’s unlikely that swathes of people are going to lose their jobs – human roles are more likely to be enhanced, not replaced, by automated systems. Nevertheless, employees may be fearful. It’s important to reassure and to inform: articulate the company’s strategy for introducing automation or AI, be honest about the short-term and longer-term implications for employees. In some industries, the organisational structure will change more radically than others, but even the earliest adopters won’t transform overnight.
Stay informedIt might be worth considering getting independent analysts in for a briefing. Less formally, use networks and corporate outreach programmes such as Grant Thornton’s Business Lounges to exchange experiences and make contacts. Go to forums and use every opportunity to learn more about what’s going on in AI. Don’t just talk to technology vendors – connect with other organisations that are starting to test out AI technologies. Learn from them. And identify someone to act as a ‘horizon watcher’ and to be the repository for new ideas within the business. Stuart Jansze is a partner in the technology, transformation and change practice department at leadership resource consultancy WBMS, part of The Wilton & Bain Group.
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