Over the last two years, many businesses have been sold on the benefits of AI. The technology is supposed to deliver higher productivity at lower cost. What’s not to like? However, a growing number of organisations are reporting that poor planning and implementation are creating additional tension in the workplace. Staff burnout rates are increasing and customer relationships are being damaged.
Major decisions on implementing AI are made at the top by the senior team based on optimistic, unsubstantiated business cases. AI promises greater productivity at a significantly lower cost.
But, in many cases, the gains are oversold. Already, several household names who have invested in AI are scaling back or stopping investment programmes based on unsuccessful trials.
Problems may include:
Middle management burn-out from devising and deploying AI.
With AI implementation programmes, we have teams being given little or no training and expected to deliver a major change programme. These underpinned by potentially unrealistic project and operational expectations from senior management.
It is a case of history repeating itself. There are strong parallels to previous implementations of ERP systems circa 20 years ago. Those too were characterised by oversold benefits, lack of relevant education and problems from automating poor processes. But this time the pressure is even greater, thanks to a significant cost of AI solutions, combined with the push to deliver higher productivity gains within unrealistic timeframes.
Employee burn-out from dealing with the problems when the productivity gains fail to appear.
As with previous technology implementations, people are not being given the skills and training to properly implement the changes. Additionally, they are also having to deal with the consequences of the change programme’s poor implementation and subsequent performance. Therefore, we’re seeing an understandable backlash from employees against the drive for productivity. Not only are people in affected areas feeling less-and-less valued, but they also recognise that often they are now competing against the AI engine and being given unachievable targets to hit.
Customer service deterioration.
What is your business trying to achieve with AI in customer service, such as with chatbots and AI assistants? Is it improved customer service or is it reduced overhead? Most businesses claim the former when really they are driven by the latter.
Businesses using AI to reduce the cost of customer service are allowing AI to dictate how they operate.
We are seeing companies forge ahead with implementing AI without sufficient consideration for how they seek to differentiate themselves in the marketplace. When they fail to provide the necessary training and change management support to their staff, customer service levels and ultimately profitability drop while your best staff leave. A perfect doom loop.
What should businesses do to make their AI work: Humans first
Whether you have already introduced AI or are just investigating, you need a “humans first” approach. It is the quality of your employees and customer relationships that matter. AI has all the potential to help enhance these… and to also destroy them irretrievably!
If you’re at the investigation phase make sure any proposed implementation is treated with a healthy dose of scepticism. Interrogate the ability of the technology to meet the improvement goals. Also, look at the unexpected costs, proposed ROI and, most importantly, what are you risking in terms of human capital and customer service if poorly designed and implemented. Ultimately, your profits will be delivered by your customers. So, take the time to deeply consider how your AI will impact how your customers think about your brand. After all, we know from bitter personal ChatBot experience that we’d much rather speak to a human to get anything more than a minor problem solved.
If AI is already in place, to get its benefits you may have to re-engineer with the involvement of those who are expected to deliver the productivity gains. To successfully implement an AI capability that will drive true competitive advantage, the investment in change management must be your priority, supporting your people so that they understand the reasoning for the change and will ultimately be prepared to own the productivity improvement targets sought by the business.
Your people need to see how the integration of AI into their working life will make them more effective and successful, not subservient to the machine, with them being able to employ it as a trusted co-pilot to enhance business performance while making the working day better for all employees.
- AI in Procurement
- People & Culture