Intelligent Automation (IA) is the use of automation technologies in daily life for easing our work, enhance process quality and shorten the process time. Digital Technologies like artificial intelligence (AI) and robotic process automation (RPA) streamline and scale decision-making across organizations. Intelligent Automation has several uses and can streamline processes, free up resources, and increase operational effectiveness.
The components of Intelligent Automation
Intelligent automation comprise of Artificial Intelligence, Robotic Process Automation and Business Process Management The combination of these elements to produces a solution that drives business and technological transformation.
- Artificial intelligence is one of the most important parts of intelligent automation. Businesses can create a knowledge base and make predictions based on that data by utilising machine learning and sophisticated algorithms to examine both structured and unstructured data. This is the IA decision-making process.
- In robotic process automation, back-office operations like data extraction and form filling are carried out by software robots, often known as bots. These bots work well in conjunction with artificial intelligence since RPA can employ AI insights to tackle activities and use cases that are more complicated.
- Business process management (BPM) is the field in which individuals utilise a variety of techniques to identify, model, analyse, measure, enhance, optimise, and automate business processes. Business process management (BPM) refers to any concoction of techniques used to control business operations.
Benefits of Intelligent Automation
- Reduces cost by augmenting the workforce and improving productivity: Automating systems and processes and using data and analysis to ensure accuracy can accelerate production. Rapid scaling is made possible by Intelligent Automation without raising risk, sacrificing quality, or taxing the current staff.
- Improve accuracy through consistent processes and approaches, which enhances quality: The power of intelligent automation comes from the use of artificial intelligence to guide decision-making, detect, and minimise important repetitive processes.
- Improve customer experience: Faster delivery of a better, more dependable product to market or quicker (or instantaneous) response to client questions results in a richer, better customer experience and gives the business a competitive edge.
- Address compliance and regulations with confidence: Specific regulatory laws and regulations must be followed in many different businesses. To demonstrate a more consistent approach to compliance, intelligent automation can make use of its job automation characteristics.
Few Use Cases of Intelligent Process Automation in various sectors
Banking and Finance
By automating the key business operations, financial and banking companies can increase revenue, facilitate regulatory compliance, and deliver positive customer experiences:
- Discounting and financing
- Commercial lending
- Anti–money laundering
- Letter of credit and guarantee issuing
- Import and export payments, inward and outward transfers, and cash management
ICICI bank uses an AI engine powered by machine learning, NLP (Natural Language Processing), and semantic analysis aid the bank’s system in comprehending clients’ inquiries, processing and resolving the issue through the bank’s interface, and providing them with a prompt response.
Healthcare organisations are among the top users of IA systems that heavily use RPA and AI.
RPA helps healthcare organisations automate routine tasks related to precise, pattern-based data retrieval, processing, and decision-making, ushering in a new era of evidence-based, more effective treatment. Decisions are made using facts and data, not only the expertise and experience of the doctor. AI in healthcare enables caregivers to better perform the following tasks3:
- Personalized treatment. The ability of AI to handle massive volumes of data fast and effectively aids in the development of accurate diagnostics that take into account symptoms and subsequent illnesses.
- Predictive diagnosing. AI can identify precursory symptoms that humans can overlook.
- Medical imaging. Advanced technologies enable accurate analysis of medical images, such as CT, MR, and X-ray, which reduces the risk of misinterpretation and human error.
- Surgical operations. AI-powered robots perform a wide range of operations — gynaecological, neck, urological and head surgery, both in collaboration with human surgeons and on their own.
- Nursing. Robots with AI capabilities assist their human coworkers in nursing by taking blood samples, keeping track of vital signs, administering treatments, and other time-consuming duties.
- Patient assistance. For patients and the elderly, robots offer both physical and virtual aid, including bedside nursing, reminders for daily tasks, and other services.
- Virtual consultations. Chatbots powered by AI schedule appointments with physicians and consult with patients who have only begun to experience symptoms.
- Remote monitoring. Wearable medical technology enables carers to monitor their patients’ conditions, whereabouts, and ongoing medical care from a distance.
- Research and drug discovery. R&D processes can be done quickly and affordably thanks to AI and machine learning.
- High-quality patient care is paramount in healthcare. But staff shortages and slow processes can have a detrimental impact on the service healthcare professionals are able to provide– both in terms of medical professionals having access to patient data at the moments they need it, and customer experience when it comes to updating records and billing.
- IPA (Intelligent Process Automation) can help in all these processes, making data transfer more secure, more accurate, and all around faster and safer keeping in place strict regulatory guidelines.
A premiere hospital in India introduces Robotic and AI based surgery: Due to the use of robotics, the surgery is performed precisely, with miniaturisation, smaller incisions; less blood is lost, there is less discomfort, and the patient recovers more quickly. Enhancing ergonomics by articulation beyond conventional handling and three-dimensional magnification. Due to these techniques, there is a reduced duration of hospital stays, blood loss, transfusions, and use of pain medication.
In Saudi Arabia, a specialised hospital connected Bizagi with their existing system to enhance the accuracy of patient data, reduce patient registration times by half, and boost staff productivity by 60%.
Automation in manufacturing is primarily motivated by the need to increase productivity, enhance product quality, and reduce costs. Supply-chain management automation enables digitalization to assure less paper usage. Additionally, you may connect every component of your manufacturing process by using a “smart factory” strategy, making it possible for you to be more responsive to consumer requests. Along with facilitating cooperation and accelerating approval procedures, IPA can assist in bringing innovative goods to market more quickly than process mapping and automation.
Order fulfilment and IPA4
Dutch radiator manufacturer NRF used automation to connect their ERP (Enterprise Resource Planning) with their other systems to eliminate gaps in processes and provide a single point of reference for all product orders. The digitization of product workflow reduced the lead time for completing an order by 50%.
- IPA can help several government departments. IPA can help with duties like form-filling and applications, such as passports, driver’s licences, birth, death, and marriage certificates, as well as the preparation of dashboards with real-time dashboards, by removing manual processes, lessening staff workload, and better serving constituents.
- IPA can also be utilised to improve crisis management. When disaster management issues occur, for instance, IPA aids in providing accurate, real-time data to your personnel so they can get to work more swiftly to restore normalcy. l operations. Crisis management4
Case of Columbian Government using Digital Technology at times of COVID-19: To serve more than 2 million rural households who had been negatively affected financially by COVID-19 in just ten days, the Colombian government automated the application, approvals, and authorization of subsidy payments for water services.
- Earning a good reputation in the education industry requires offering students and staff a great, individualised experience. In educational institutions, implementing IPA can have positive effects on a wide range of operational procedures.
- In addition to saving school personnel time-consuming manual data processing duties, automating procedures like student onboarding and class scheduling can improve the student experience. The handling of financial aid and student loans, for example, can be sped up with the aid of IPA.
Student loan management: By automating their student loan management procedure, Birkbeck University was able to lower student debt by 16% while increasing visibility of loan status.
Some Challenges in Implementing Intelligent Automation
- Significant IT assistance is needed for intelligent automation:
Intelligent automation requires a lot more computation, storage, and other infrastructure resources, as well as extensive IT assistance. Intelligent automation is best based in the cloud due to its scalability and capability.
- Employee resistance to change Technology is just one aspect of intelligent automation: A crucial component is the human element. Businesses must think through the effects of upcoming changes to roles, procedures, responsibilities, and working methods on personnel from the outset. For the new procedure, employees need receive training.
- Lack of an unobstructed vision Getting it right means integrating vision and strategy: Integrating vision and strategy is necessary for success. Without a comprehensive plan, the process may veer off course, failing to produce the desired outcomes.
How Brickendon can help?
- Brickendon can analyse the current digital capabilities of the client and determine what improvements and upgradations can be made after evaluating the present digital capabilities in the As-Is procedure.
- Work closely with the client and create a digital strategy to create a thorough plan outlining the activities that must be followed to accomplish their digital objectives. Implementation can be done in stages depending on the client’s availability for the project and budget permission from management, and this would include specified objectives, timetables, and financial requirements.
- Brickendon can assist clients in setting up governance frameworks to guarantee that automation processes adhere to legal requirements and professional norms.
- Brickendon can do deep research in Big Data Analytics and create behaviour-based technologies like Artificial Intelligence and support business development.
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1.What is Intelligent Automation? | IBM
2.Embrace Efficiency with Intelligent Automation (automationanywhere.com)
3. Intelligent Automation (IA) and Use Cases across Industries | SaM Solutions (sam-solutions.com)
4. 5 Intelligent Process Automation Use Cases to Inspire Your Automation Project (bizagi.com)
5. Top 4 Challenges In Implementing Intelligent Automation | Automation Anywhere