The “Intelligent Automation in Energy and Utilities: The next digital wave” by Capgemini study found that nearly half of respondents have under-estimated the benefits they derived from their intelligent automation initiatives, while only 18 percent of organizations are deploying quick-win use cases, and just 15 percent of those surveyed said their company is deploying multiple intelligent automation use cases at scale.
The report highlights that the traditional energy and utilities business model is under pressure worldwide; with technological changes and increased competition making their presence felt. It cites that automation and AI will also be instrumental in helping these companies to meet climate change goals and the growing demand for clean, cheap, reliable energy.
The report also shows significant regional and sub-sector disparities in the scaling of automation.
- In the United States, 23 percent of energy and utility companies have deployed intelligent automation initiatives widely at scale. 16 percent in both France and India have done the same, compared to just 8 percent in the UK.
- Meanwhile, a fifth of oil and gas executives reported multiple use cases at scale, compared to just 6 percent from water companies.
While the sector is deriving significant value from intelligent automation, scaling, seizing quick-wins and overcoming the critical digital skills gap will be key to bringing it into the mainstream.
Intelligent automation is delivering significant benefits
The Capgemini report finds that the sector is already seeing significant value from automation. A consistently higher percentage of executives in the energy and utilities sector said they’d achieved benefits from their intelligent automation initiatives compared to the response for ‘all sectors’.
Example areas of benefit included:
- 40 percent of executives said they had seen an increase in operations quality.
- 45 percent had seen an increase in inbound customer leads.
- 81 percent had improved the customer experience through faster responses.
- 78 percent saw a reduction in the number of processes relating to queries and purchases.
- 32 percent had seen an increase in staff productivity.
In terms of the benefits, 47 percent have underestimated the cost savings; 48 percent the customer satisfaction; and 45 percent the impact on net and incremental revenue.