Intelligent automation and human-machine collaboration


Intelligent automation and human-machine collaboration

Your business processes with speed and precision

We are now in the Age of With™, where companies are harnessing the power of "with" to identify unique advantages through analytics and the future of artificial intelligence (AI). The results are insights that become automated, engagements that become insightful, and relevant information that can get into the right hands at the right moment. How can we ensure that both human and machine coexist and thrive?

Beyond bots: Human-AI interaction

When people encounter something new, it’s human nature to compare it to things we already know. But executives seeking to adopt intelligent automation may struggle to realise its benefits if they don’t consciously set aside a few pre-existing beliefs. The Age of With requires thinking beyond bots—it’s the future of human-AI interaction.

The first belief to shed is that intelligent automation is just like conventional software. Adopting digital workforce management and treating digital workers as a part of the workforce—not software applications or outsourced functions—can put organisations squarely on the path to enhancing human judgement and human-machine collaboration and delivering actionable insights.

The second belief to leave behind is that intelligent automation is like conventional outsourcing. If an automation is not achieving its goals or it just breaks, organisations cannot view it as an IT problem. The business owner must have full-stop accountability for his or her digital workforce.

AI, cognitive technologies, and RPA

AI and related technologies are not a future direction. They’re here now. A majority of organisations surveyed by Deloitte are already either exploring, implementing in select functions/divisions, or using these technologies extensively across their organisation.

Increasing human-AI interaction

Organisations that are ready to evolve beyond a simple rule-based RPA should look at what their automations are doing, and even more importantly, are not doing—i.e., where does intelligent automation pass the process to a human, and what does the human need to do at that stage?

Looking at those handoffs enables organisations to identify opportunities to leverage probabilistic inference or algorithmic analysis of the data to make predictions. By going from clearly defined “if-then” logic to machine learning algorithms, organisations can bring intelligent automation to more of the work done by humans and leave human employees to focus on tasks requiring unique, innately human skills.

At the same time, advancing the evolution of automation at your organisation and showcasing the execution of complex, knowledge-based tasks is a sound way to increase confidence and understanding across the organisation.

The evolution of automation

Source: Deloitte Global Human Capital Trends survey, 2019

Five questions to add speed and precision to business processes in the Age of With
  • Is your approach to automation holistic and enterprise-wide?
  • Is your automation program supported by business, IT, and functional leadership?
  • Do you have an initial pipeline of opportunities with clearly defined ROI and timeline?
  • What implementation prerequisites do you need to address before starting an automation program (e.g., functional centralisation, process standardisation, digitisation, etc.)?
  • How prepared are you to instill a culture of innovation and foster adoption of emerging technologies?

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