The biggest ongoing debate in the global market is about robots replacing human labour in the future. The fact differs, as robots are not here to replace humans but to assist them. The future is brighter for the organizations that can balance well through this transition, and create a sustainable environment of human-bot symbiosis. And, these futuristic businesses are referred to as Autonomous Digital Enterprises (ADE).

The world is undergoing a seismic change of digital disruption. The ADE smartly embraces intelligent, tech-powered systems across all business facets to thrive and grow in today’s ever-shifting, competitive market.

Automation should remain a complementary business function across all levels of the organization, with complete clarity that they are not here to replace human intelligence, creativity, or efforts. By leveraging automation, ADEs can:

    • Operate faster
    • Minimize errors
    • Free humans from repetitive, robotic tasks
    • Allow employees to focus on strategizing
    • Lower costs
    • Improve customer satisfaction with prompt interaction and query resolution

[Also Read: 20 Unparalleled Benefits of RPA and AI To Digital Business ]

All Autonomous Digital Enterprises are driven by a growth-oriented approach towards delivering value and offering competitive differentiation. With automation implementation, enterprises can focus on enabling customer centricity, agility, actionable insights, and strategizing.

Having said that, the transition towards turning into a fully autonomous digital entity isn’t easy or sudden. It is a gradual realization across all organization levels to be proactive and open about technologies taking over. To progress and adapt effectively, teams need to strive hard to achieve increased automation, RPA, AI, and ML capabilities. Without in-depth knowledge and levels of training, traversing this path of digital transformation would be extremely challenging.

[Also Read: RPA is Empowering Small Businesses to Catch Up with the Evolving Market Dynamics ]

The facets associated with the concept of ADE

It is a well-accepted fact that the tech-enabled evolution will give rise to automated, sustainable, agile, and self-reliant businesses. To become an ADE, it is essential to extend the technologies to all business sectors and critically analyze the existing challenges they face.

Let’s go through a few of the significant facets associated with the need to establish an ADE in the current business landscape:

Hyperautomation: Any ADE is strongly empowered by automation and AI across all business functionalities and operating systems. With minimized human intervention and error, it also promises improvised business insights. The robots work alongside the machines to collaboratively push the productivity and profitability of the business further.

Customer Satisfaction: ADE is largely customer-centric in approach, devoting its powers towards creating better customer experiences through personalization. Data analytics allows enterprises to cumulate and analyze customer data to build a sustainable and client-focused ecosystem for prompt query or complaint resolution.

DevOps: Integrating an advanced DevOps system into the business enables the enterprises to turn completely digital assuring rapid delivery with enhanced quality. Merging development and operations allows the two diverse workflows to get infused, strengthening future returns and business goals.

Data-driven Predictions: AI-powered software analyze and manage huge chunks of data to derive meaningful insights for better-informed decisions. Analyzing past trends through legacy data enriches the business strategies by delivering modern customer experiences.

Cybersecurity: Adaptive and flexible security systems expertly detect and react to cyber authentication needs to identify as well as combat the threats with efficiency and speed.

AIOps: AIOps includes the collective power of ML and AI to analyze, detect, and react to problems within the IT system. ITOps usually have complex data management issues and networks which are cumbersome for human brains to solve. AIOps derives the root cause of all problems at a click, subsequently fixing them at an unmatchable speed.

[Also Read: What is Enabling Hyperautomation in Digital Businesses? ]

How to start?

Now that the facets associated with the concept of ADE are clear, enterprises need to understand how to embark on this journey of becoming one.

Have a plan: The first thing to remember is – have a concrete plan as becoming an ADE is no overnight dream to be accomplished. Rolling out AIOps and system automation is a long-drawn and constant scenario involving immense employee efforts and training.

Aligning to the goals: Once the plan is set, the main challenge is to align the implementation process’s goals with specific use cases that are relatable and can be replicated.

Identify frictions: Alignment to the goal is realistic only when supported by discovering the areas of friction within the existing IT Ops processes. No technology implementation comes without resistance from the employees. So, to succeed, businesses need to have a fail-proof plan to identify and eradicate all hiccups before they create disputes or business disruptions.

Establish reliable data sources: The initial process involves establishing rich and reliable data sources and models that are available and centralized in a common location for analysis.

Setting Priorities: Every enterprise has its individual priority areas which can be defined on a tiered ROI and business impact basis. To segment them effectively, creating a business-wide rollout plan is crucial.

Building the culture: Successfully building an autonomous entity is as much about technology adoption as it is about the organizational culture and mindset. Enterprises need operational skill sets and the optimistic vision to manage the transition and strategically take advantage by looking at the big picture.

Selecting the right technologies: There are a host of technology vendors enabled with their advanced automation solutions in the market. Still, enterprises need to go for the ones capable of detecting, analyzing, and acting in an all-in-one package. IT teams need to effectively demonstrate the real, tangible value from all tech rollouts to assure meeting the key win areas.

Efficient integration: IT teams must quickly analyze how well the new analytics and automation tools integrate across the existing IT Ops processes. Before investing, they need to assure that the solutions cover the entire IT environment across cloud, on-prem, and even containers.

The future is here!
With legacy businesses turning to become Autonomous Digital Enterprises, the future seems totally driven by happy human-bot collaboration. All existing IT tools will undergo reinvention, and the employees will get fully trained to extract maximum profitability in this machine-led era. In a couple of years, businesses will also witness analytical data coming to the forefront, improvising customer experiences.

Considering today’s cut-throat market competition, all businesses across sectors strive to achieve both resilience and innovation. With automation and RPA at play, operations will retain normalcy as the human workforce prioritizes on new, forward-thinking projects to establish business differentiation. Ultimately, only the entities who embrace the path to becoming an ADE will survive the future market unpredictability and excel.