Intelligent Automation

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Organizations that want to afford the human workforce the freedom to focus on what is important need to design their workforce in a new agile way. The solution requires fresh thinking, embracing human-machine collaboration, which includes digital workers. An organization chart going forward, for example, might show digital workers alongside human workers. This would adopt a view of automation that transcends conventional notions of enterprise software or outsourced solutions.

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The way work is performed today will differ a great deal from how it is performed tomorrow as intelligent automation becomes entrenched in the future workforce. We can help you implement a pragmatic view of automation and business process improvement. In this transformative era, artificial intelligence with intelligent automation (IA) delivers business processes with speed and agility. Speed and precision are a must. You need to be able to scale and flex with quick reaction times to meet existing and evolving challenges. Without it, desired business outcomes will not be maximized. By combining techniques and technologies to re-engineer and automate processes, we can achieve speed and efficiency while reducing errors and risk.

Intelligent Automation is more than a journey or a technology. To us, IA is an advantage, opportunity, and necessary innovation. It takes what is possible to become more than just an elusive, intangible strategic plan. It becomes actionable and scalable. Rather than staying stuck in the mindset of how individual technologies can be applied within an organization, intelligent automation is about re-imagining how business processes across the front, middle and back offices can be transformed.

Cognitive and intelligent automation transformations can be complex, and there’s no one-size-fits-all. We apply transformative technology to deliver business impact by tailoring knowledge workers and digital workers to meet the demands of your industry and your organization’s unique needs. We can help you build a reliable foundation for future innovation by using innovative intelligent automation solutions to help deliver your vision. At Dayton, we combine business and technology services, with a creative, people-first approach to enable enterprise transformation through innovative applications of intelligent automation.

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How intelligent automation can take the robot out of the human

To realize value from intelligent automation, you need to ask yourself the right questions:

– Will you have a people-first approach to learn as you go, or will your approach to automation be enterprise wide?

– Do you have an initial pipeline of opportunities with a defined time frame?

– Is there any other process standardization that needs to occur prior to starting the automation program you have in mind?

We will assist you with deployment that is measured in weeks to several months versus months to years.

We’ll initially assist you in identifying opportunities for intelligent automation.

Then we’ll work with you to deliver and implement intelligent automation that will take the robot out of the human.

Thinking beyond the bots

Lending you a hand to get past the myths and spark human-IA interaction

It's like traditional software

The first myth to debunk is that intelligent automation is just like traditional software. Treating digital workers as a part of the workforce—not software applications or outsourced functions—can put organizations solidly on the path to enhancing the human creative element and human-machine collaboration.

Human-IA collaboration

Evolving beyond simple rule-based bots involves looking at what automatons are doing and not doing, where is the process passed by IA to a human, and what happens then. Digging into those hand offs enables organizations to identify opportunities. For those situations deduced as good candidates to move beyond bots, organizations can leverage IA further, allowing people to focus on the human creative.

It's like conventional outsourcing

The second belief to check at the door is that IA is like conventional outsourcing. But if an automation is not achieving its goals, it would not be viewed as an ‘IT problem’. The business process owner would have accountability for his or her digital workforce just as they would for their human workforce.