Healthcare is another industry primed for hyperautomation, meaning it’s already started the process. One of the first steps involved automating the pharmaceutical industry to improve the patient experience, lighten the load on pharmacy workers and alleviate strain on supply chains. The transition involved everything from bulk ordering to automated patient notifications, resulting in more efficient and standardized processes with fewer errors.

Shift gears to medical professionals handling patient care and how hyperautomation improves the efficiency as well as diagnostics and treatment. Leveraging automation tools makes documentation faster and easier for everyone involved, reducing the chances of missing a key piece of information that could alter a patient’s life.

Making everything accessible in real-time leads improves the patient experience, diagnostician’s assessment, and coding accuracy for billing purposes. Automation technology is an efficient and cost-effective way to give every patient the optimal experience, but it also ensures compliance and could ultimately be the route to lower the overall costs of healthcare.

The insurance industry is as complex as it gets with a plethora of paperwork for everyone involved at every stage of the process. Regardless of insurance type, it’s beneficial to automate several stages in the process to achieve more accurate results and reduce operating costs.

Automating estimates and quotes leads to more accurate and consistent numbers while freeing employees to handle more important tasks, like customer interactions. Leveraging automated tools and advanced analytics significantly reduces the impact of human error, especially with access to independent sources, like sensors and geographical data.

For example, consider an auto insurance claim for a collision. Intelligent automation can recognize images from accidents, scan license plates, and assess damage to verify the legitimacy, organize files, and store paperwork for all parties, resulting in faster, more accurate quotes.

These tools can reduce insurance fraud and expedite the process so agencies can limit the amount of time it takes to complete a claim and increase customer satisfaction.

Call centers field thousands of calls every day, but only a fraction require human assistance. Many tasks take a few moments and require simple solutions that AI can easily handle. Implementing automation technology can reduce hold time, which increases customer satisfaction and call center efficiency.

With AI fielding the simplest calls, human representatives can manage the more complex issues that require more time and effort. Plus, without the need to rush a call, human reps can commit the requisite time to satisfy the customer and find a viable solution.

The entire system works seamlessly to filter calls and resolve simplistic issues to reduce call volume for human representatives, which reduces burnout. Hyperautomation also allows companies to handle more inbound calls by resolving more of them without escalation, resulting in increased customer retention.

Few industries rely on the internet as much as the travel and tourism sector, so it’s no surprise that hyperautomation promises significant benefits to the industry. Though tourism and hospitality is traditionally a people-centric industry, booking transportation, lodging, and admissions to attractions is almost entirely done digitally today.

Aside from arranging trips, automation technology improves marketing efforts and access to accurate, comprehensive data. Businesses can target legitimate leads for increased conversion rates, while cross-selling and upselling.

Further, as people travel abroad more than ever, language translation technology is more critical than ever. Airports often utilize translation systems to support foreigners who can’t speak the language but need to find transfers, transportation, and accommodations.

Over 230 million Americans shopped online in 2021. While COVID-19 likely contributed to that number, the pre-pandemic numbers were well over 200 million since at least 2016. Automation technology can help retail businesses capitalize on this trend by providing new ways to recreate a customized shopping experience online.

Collecting data to customize suggestions and marketing materials is one potential use, but not the only opportunity. Automating payments, inventory, and risk management can reduce costs and alleviate stress on already overextended retail workers.

Finally, retail operations can benefit from AI support for pricing. Complex analytics and cost comparisons can help companies identify and implement more lucrative pricing strategies that increase revenue without deterring customers.

Delta dove headfirst into hyperautomation and became an industry leader. The airline implemented a series of automated processes to improve their customers’ experience and better utilize employees.

• They created the first end-to-end biometric terminal in the US to safely and securely expedite check-in via facial recognition.
• Use real-time RFID bag tracking to provide customers with push notifications on the status of their luggage.
• Automatic check-in allows customers to check in through the app and access their boarding passes virtually instead of waiting in line to secure a paper ticket.

The airline also utilizes automated technology to support employees at every stage of the process.

GE Aviation upped its game by using the digital twin approach to craft airline engines. The company created virtual replicas of its aircraft engines using Microsoft’s Azure Digital Twin solution. Using the digital models, the engineering team runs tests to see how they perform and predict issues before building them.

Employees run multiple simulations on each engine to craft detailed diagnostics and characteristics about what each one can reasonably accomplish. Plus, the team continues monitoring the engines via sensors on the control unit to keep real-time data to feed into predictive models.

GE Aviation can alert customers when an engine needs service and what’s necessary so they can optimize each machine’s performance and longevity. These multi-tiered approaches reduce costs and improve product safety.

Factoring in remote management further reduces overhead costs by allowing employees and management to handle operations from a dashboard. Digital Twin of Operation (DTO) and Internet of Things (IoT) models offer exceptional support and opportunity for businesses entering this phase of hyperautomation.

Since automation provides real-time information and the internet provides remote access, teams can react to issues or shift gears from almost anywhere. It takes fewer people to manage operations and requires less face time, which has the side effect of creating safer workspaces for employees in hazardous industries, like mines and oil refineries.

Remote control also allows management to keep a pulse on daily operations, an especially helpful tool for companies with assets spread across multiple locations. Further, remote management provides more flexibility to move operations if necessary.

Some of the initial applications show remote management supporting warehouses, power plants, and farms by allowing them to manage drones and other robotic systems as they carry out tasks in the field. However, the potential applications are infinite with more industries discovering ways to leverage remote management to streamline and expedite services.

This phase could produce more challenges than the previous one because it requires more complicated software and tools. Businesses need the knowledge and space to accommodate the tech-heavy support necessary to implement remote management. Additionally, it could lead to more employee lay-offs followed by a need to hire different specialists with the skills to handle the new operations.

Finally, organizations can take steps to reach their full automation potential. Investing in robots and intelligent operational systems to support processes and physical facilities across the organization takes time.

This phase involves drawing on a range of tools, platforms, and software to fine-tune operations and automate any remaining tasks. It often involves more reliance on AI and machine learning to increase performance.

The ultimate impact comes from reduced investments in new projects and quicker start-ups because automation allows teams to tackle projects faster and more efficiently. It’s possible to trigger operations sooner because all members have access to the requisite information and tools almost immediately instead of waiting for them to arrive. The seamless coordination means less prep time on the front end.

Operations get a running start, but they also manage obstacles faster and easier thanks to the AI and machine learning systems in place. Predictive technology can recognize potential problems in advance and allows teams to adapt faster than ever.

Full automation is not without its challenges, but the benefits far outweigh the drawbacks. Still, understanding that this stage requires specialized employees with the skills to manage equipment. Repairs, updates, and upgrades pose additional costs, and components are always affordable or readily available. Additionally, there are some challenges involved with displacing human employees, including legal and political blowback.