How to Use AI for More Effective Work Practices

Creating Effective Tools

The staff responsible for People Analytics need to find ways of reporting on key organisational priorities. AI can help by providing baselines and benchmarks for comparison. To unlock these insights, it's important to know how to communicate with AI systems effectively. This involves careful consideration of the “prompts” used, which may be specific questions or commands. With the right approach, data can be generated that aligns with the priorities in question. Creating these AI prompts takes practice and time to trial different approaches to find what works best.

Privacy Considerations

Please remember that internal organisational data is private and should not be used in any large language model (LLM) unless it is fully aggregated into statistical form. Even then, governance and legal compliance must be respected at all times.

Automation and Digitisation Teams

Much of what AI brings is in the automation of tasks. This requires a deep understanding of the processes and workflows within the organisation. Digitisation teams are becoming a new invention in many organisations, usually matrix teams formed from a mixture of IT and Operations, led by a Digitisation Analyst. Specific projects need to be identified in areas where challenges or labour-intensive practices exist. Try to keep these projects small but impactful.

Identifying and Designing New Practices

Identifying the current working practice and designing new automated ones takes time. This is best approached as an iterative process, where the most obvious tasks suited to automation are undertaken first and then used as a foundation to move through the next stages of the workflow. Not all activities will lend themselves to automation, so significant investment in supporting the workers who need to shift their work activities is required. This includes:

• Identifying new skills
• Fulfilling training needs
• Working out the skills profiles for staff
• Planning the training programmes required

Experimenting and Testing

Once you have your ideas and innovations identified, it's best to carry out experiments and test the results. AI can generate large volumes of data, including false positives alongside real insights, and it may take time to work out what is genuinely useful.

Implementing New Technology

Introducing new technology and new ways of working during an organisational transformation project is most effective when the outcomes make sense and lead to increased productivity. It’s also important to ensure staff are looked after and reskilled into better roles.

How eCom can help

Most companies recognise the need to implement new tools and technologies, but the path forward is often less clear. We have many years of experience in supporting organisations on their digital journey, helping them transform their business by embracing new digital technology and enabling them to improve overall productivity and remain competitive. So  do please do get in touch – we’d be delighted to assist you too.