Digital platforms and robotic process automation (RPA), once ground-breaking innovations, have become commodities in today’s world.
However, the development of low-code/no-code platforms and the addition of intelligence and machine learning have added a new dimension that can potentially revolutionize business operations.
The challenge is that automation is entirely dependent on the underlying processes, and if these are problematic, automation will cause poor processes to happen faster. A strategic approach to automation is critical to leveraging optimization and enhanced productivity.
Automation for the right reasons
While business automation is a rapidly maturing technology field, it must be deployed appropriately to deliver maximum benefit. It is not an invasive technology and was never designed to solve crucial business problems or improve processes. Things will inevitably go wrong if it is deployed to fix data issues.
If the underlying processes are not optimal and are not delivering what they should, automation will only perform the incorrect action faster.
Automation shines in ‘cookie-cutter’ processes that are standardized across organizations, such as payroll and invoicing. For example, automation can match purchase orders, invoices, and proof of delivery to automatically approve a payment. This can enhance turnaround times from a few weeks to almost immediate through a zero-touch process that requires no human intervention.
In turn, this can give the procurement department impetus to negotiate for a discount from suppliers if payment can be guaranteed for the same day as receipt of the invoice. The return on investment in this type of automation can be significant and realized quickly – if the technology is employed correctly.
Enter the world of hyper-automation
Automation aims to optimize operational efficiency, increase productivity, and reduce operational costs. It can apply to multiple business processes. We are entering a world where most solutions and platforms available now incorporate some element of automation.
These technologies work together and create a hyper-automated environment within the digital workforce.
It changes humans’ roles, empowering them and changing the required skill sets. It can have a profound impact on the way businesses operate. Automation is no longer a business enabler but a catalyst for the complete transformation of the digital environment.
Chatbots are now standard, and voice assistants with natural language processing capabilities are becoming viable options for people to speak to and perform certain activities. An example is Google Assistant, which restaurants use to make reservations and take orders.
Changing the future
While hyper-automation applications are currently small, they can all add up to vastly improved efficiency and enhanced customer experiences. As the technology matures, we will see increasingly robotized processes and functions—the drive-thru may one day be entirely operated by automation, and call centers are moving toward being deployed solely in a data center with no human workers.
There are many opportunities, and we are only just beginning to explore the potential of automation. One thing that businesses need to consider, however, is that you cannot automate the front end (for example, by automating invoice payment) without also deploying automation in the back end (if the invoice is posted rather than digitally submitted, the entire automation chain will fail).
Process and function automation must be end-to-end and driven by an appropriate business case. The environment, external third parties, and suppliers must be considered as part of an overall automation strategy.
Umbrella or towel?
Ultimately, automation (and any transformation) must first be informed by business strategy and context so problems can have effective solutions. If a person is drenched, you can give them a towel or an umbrella. Each is a solution, but they apply to different situations—if the person is standing in the rain, a towel will not be helpful; conversely, if the person falls into a pool, an umbrella will be useless.
Processes must also be relooked at and optimized before they can be automated because automating a bad business process will ensure that ineffective things happen more rapidly. Strategy and planning are key, and automation should always be done to transform your business, not just to add technology to the stack.
Finally, data, applications, and legacy infrastructure can all be stumbling blocks on any automation journey, making strategy essential. The right IT partner can be invaluable in ensuring that strategic, end-to-end transformation is the focus and that the appropriate platforms and solutions are in place to enable this.
Sumit Sharma
Blog Highlights
-
Strategic Approach to Automation: Automation, when applied to inefficient or problematic processes, will only make poor outcomes happen faster. Therefore, it’s essential to optimize and strategize processes before automating them for maximum benefit and productivity.
-
The Power of Hyper-Automation: Hyper-automation, which combines multiple automated technologies, is transforming business operations, empowering human roles, and enhancing operational efficiency. It plays a pivotal role in the digital transformation of companies by automating both front-end and back-end processes.
-
Automation Must Align with Business Strategy: Automation should not be applied as a quick fix or just to add technology. It must align with the overall business strategy and context to ensure that processes are enhanced, rather than simply speeding up inefficient ones.
Other Blogs from In2IT
Cybersecurity Essentials: Defending Against Growing Digital Threats
In today’s digital world, cyberattacks are an ever-increasing threat to businesses, with severe financial and reputational consequences. Organizations must take a proactive approach by implementing comprehensive cybersecurity policies, investing in advanced security tools, and regularly assessing vulnerabilities to safeguard their critical assets. Employee training plays a crucial role, as human error is often exploited in cyberattacks. Additionally, having a robust disaster recovery plan ensures swift recovery and business continuity in the event of a breach. By staying ahead of evolving cyber threats and collaborating with IT experts, businesses can build resilience and protect their digital infrastructure from future attacks.
Optimizing Networks with SDN and SD-WAN Technologies
SDN (Software-Defined Networking) and SD-WAN (Software-Defined Wide Area Networking) are transformative technologies addressing the need for agile, scalable, and secure networks. SDN centralizes network control for improved automation and efficiency in data centers and large enterprise environments, while SD-WAN optimizes wide-area connections between distributed locations, enhancing performance and reducing costs. SDN suits environments requiring rapid network changes, while SD-WAN is ideal for organizations with multiple locations or cloud-first strategies. Both technologies are growing rapidly, driven by increased reliance on cloud services and AI/ML integrations, enhancing network automation and security.
The Quantum Era: Rethinking Cybersecurity and Encryption
Quantum computing is set to revolutionize cybersecurity by introducing both significant risks and opportunities. Its immense processing power threatens existing encryption models, like RSA and ECC, which could be easily broken by quantum algorithms such as Shor’s. To address these challenges, the cybersecurity community is developing post-quantum cryptography to safeguard sensitive data. Organizations must take proactive steps, like conducting quantum risk assessments and adopting hybrid cryptography, to protect against future quantum-based threats. While quantum computing presents challenges, it also offers opportunities to enhance data protection with advanced security solutions.
Maximizing Business Potential with Predictive Analytics
Predictive analytics is a vital tool in today’s business landscape, projected to grow significantly, underscoring its importance. It utilizes historical data, machine learning, and statistical algorithms to forecast future outcomes, aiding various sectors like finance, healthcare, retail, and manufacturing. The benefits include improved decision-making, increased efficiency, enhanced customer experiences, and a competitive edge. Despite challenges such as data quality and ethical concerns, advancements in AI, machine learning, and big data integration promise to expand the potential applications and effectiveness of predictive analytics.
IoT Evolution: Revolutionizing Industries and Daily Life
IoT has transformed our lives by connecting everyday objects to the internet, enabling smart, efficient solutions across various sectors. Major trends include edge computing for real-time data processing, AI and ML for advanced analytics, IoT-as-a-Service for flexible implementation, and 5G integration for enhanced connectivity. IoT is widely used in healthcare, agriculture, transportation, manufacturing, and smart cities, driving growth and innovation. Despite challenges like security risks, high costs, and interoperability issues, the future of IoT looks promising, with continued advancements expected to revolutionize industries and improve daily life.
About In2IT
We are a fast-growing leading authority in IT Consultancy, Cloud Computing, Managed Services, Application Development and Maintenance, and many more. We have a keen eye for building solutions with new-age technology and ensure our clients get the best in technology and continue their onward journey of success.