It's common knowledge that new technologies can improve productivity in any given business. But integrating and making the most of technologies, like AI and RPA, in companies that were established long before these technological existed is not so easy. As such, technology can only make organizations more efficient if it is implemented correctly and into large-scale processes.
The rapidly increasing pace of the market and of technologies is sometimes too fast for organizations that have existed for decades to adapt to. However, their survival depends on staying up to date.
But how can established organisations successfully integrate AI and RPA?
It is crucial to begin with customer experience. What do you need in order to improve your customer experience? Rather than starting with the technology you think you should adopt, look at what problems your user currently has. Accurately identifying the problem will allow you to implement technologies that will no only help the organizations, but more importantly will positively impact the customer. This will also drive you to integrate technology into your business that helps your customer, like intuitive interfaces, artificial intelligence combined with RPA and natural language processing. Technologies like these provide an improved quality of service by redefining the minimum business requirements to service a customer; something that new technology companies and challengers are already doing.
With the growth of AI and automation across a range of areas, like decision support and data capture, we can see the rise of intelligent automation. Intelligent automation can be combined with RPA for added value in the following ways:
- Expand automation across your organisation to areas that were previously unsuitable for it.
- Increase the revenue of robotics within a currently enabled process.
Use of intelligent automation tools will facilitate new levels of productivity and innovation. It will allow a business's people to focus on higher-value projects and also ensure their industrial-level quality and consistency throughout processes. It is also worth mentioning that intelligent automation also enables employees to interact with robots in a more human-like manner as the technology in itself is more user friendly. This provides opportunities for them to interact and work seamlessly together, ensuring higher levels of efficiency and productivity.
Although most established companies begin their automation journey in an attempt to reduce costs, intelligent automation has proven that it is actually essential to transition into the future of work.
For example, banking will see technology automation platforms begin to automate processes across major sectors such as trade finance, dispute management and risk, but also provide intelligence automation capabilities for decision-making.
It is clear that the adoption of automation and intelligence programs must look to break free from the hype of robots that merely automate menial tasks, and create a kind of automation ecosystem; an intelligent system that is smarter and capable of delivering more advanced operations in onerous processes. This will enable advanced forms of digitization, data extraction, imaging and machine learning. It will take these processes online and conveniently create repeatable rule sets that are auditable and traceable.