How Enterprises Can Transform Their Processes With Cognitive Process Automation

The need of the hour is a comprehensive and no-code platform

The Challenge

Traditionally, enterprises are used to looking for solutions in silos – which means, building solutions for specific functions that run independently. However, with data emerging as the driver for businesses, it’s crucial for enterprise solutions to be multi-functional – allowing for businesses to tap on the insights so produced, across departments.

Enter Cognitive Automation!

Hitherto, only humans were handling decision-making within enterprise processes. Now, cognitive process automation (CPA) powers systems to take decisions midstream within any enterprise process without standard rules or coding, just like humans. According to IDC, global spending on artificial intelligence, which is at the core of cognitive automation, is expected to reach a whopping $110 billion in 2024. Cognitive or intelligent automation opens a whole new world, building intelligence across functions. However, it’s practically impossible for any company or their vendor (SIs/developers) to be well-versed with all enterprise functions. What’s needed is a unified platform that an enterprise can build on, leveraging the expertise of different vendors; devising data-driven strategies across departments.

For example, collecting customer feedback through CSATs and NPS surveys is a part of customer service, however, the data and insights from these surveys don’t only benefit the service COE, but, also allow for the product team to improve the user experience of the product. Similarly, for predictability analysis, recruiters and HR executives can share and leverage data from the same source.

Importance of a Partner Ecosystem

When it comes to bringing cognitive automation to enterprises, a major challenge faced by developers/SIs is the lack of expertise across verticals and processes – a bottleneck in adding AI and NLP-powered solutions to their suite of services. While building these capabilities in-house is one way of solving the problem, it’s not preferred by most, given the high cost of acquiring the right talent, skills, and infrastructure. What is ideal is a partner ecosystem that allows for SMEs, OEMs, SIs, and other technically sound organizations to collaborate with CPA experts, to accelerate their cognitive capabilities, stay relevant in the world of AI, and most importantly, tap on uncharted revenue-generation opportunities – a win-win for all! This allows for partners to bring in automation in their area of expertise – building multi-functional AI agents on a single platform.

Selecting the Right Platform for Cognitive Automation

Here’re the key points that one should keep in mind while evaluating a CPA platform:

  • Data-agnostic platform – can effectively process both structured and unstructured data, from multiple sources, in varied forms
  • Requires low to no coding – connects with any enterprise system and can be deployed easily and quickly without any scripting – allowing for any vendor to upskill to a particular function and easily solution on the platform
  • Offers a broad use case spectrum – that expands across functions, immensely augmenting teams’ capabilities by creating an AI workforce that can co-work with humans as well as with other AI workers
  • Comes at competitive pricing – offers a pricing model that is independent of the processes that the platform automates and charges for more concrete features, such as the number of tasks an AI worker performs simultaneously
  • Easily scalable – should allow for enterprises to enlarge or reduce the AI workforce on the go!

 

In Conclusion

While chatbots/RPA has been the low-hanging fruit that enterprises have tapped into, intelligent automation is taking over the field of business process automation. The need of the hour is a comprehensive and no-code platform, that offers automation of the entire workforce via AI co-workers and a well-connected partner ecosystem of organizations collaborating to transform workplaces across industries through AI and natural language processing-led automation.

 

[author title=”Animesh Samuel, Co-Founder and CEO, E42″ image=”http://”]The co-founder and CEO of E42, a no-code cognitive process automation platform, Animesh brings to the table 23 years of experience in technology product and marketing. Driven by a passion for solving enterprise problems with AI, he likes to talk about the range of opportunities that solutions built using intelligent automation, natural language processing, and machine learning open.[/author]

 

 

Disclaimer: The views expressed in this article are those of the author and do not necessarily reflect the views of ET Edge Insights, its management, or its members

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