AI (or artificial intelligence) is changing how companies operate, but not in the sci-fi, sentient robots way that Hollywood has portrayed. The integration of AI is already delivering tangible results for many businesses. 

Automation and optimization of tasks save companies time and money while improving customer and employee experience. Deloitte estimates that with strong AI adoption, time savings could be upwards of 27% within seven years. 

Figuring out how to integrate AI into your business can be an intimidating proposition. There’s so much to learn, and it can seem like there are many risks involved. 

So, how do you know where to get started?

Integrate AI into Your Business
Photo by Alex Knight on Unsplash

How to Integrate AI Into Your Business Without the Risk

Conversational AI, put to work by chatbots, is one of the easiest, low-risk ways to integrate AI into your business. Most companies that conduct business online are using chatbots now, and research shows that by the end of 2020, 80% of entrepreneurs will use them. Chatbots are revolutionizing the way businesses deliver customer service, build relationships with customers, and drive revenue goals. 

You can experiment with chatbots in low-risk ways. They deliver a surprising amount of valuable data for your company, and chances are it fits within your innovation budget.

Chatbots are the perfect place to start integrating AI into your business. Here’s why:

  • Chatbots scale quickly as your business grows and as your AI requirements develop.
  • Chatbots are low risk because you have complete control from the very beginning. You decide exactly how they help your customers and when and where they require human oversight. They can handle low-risk issues at first while efficiently shifting challenging questions to staff members.
  • You can start small and even deploy a chatbot internally before you launch it to customers. Chatbots can be then adjusted if you identify problems or opportunities from test group interactions.
  • Chatbots easily integrate with your existing tech stack, systems and organizational architecture. You can plan ahead, and there won’t be any unexpected additional software costs to do with implementation.
  • Chatbots can be developed to supplement and work with your operational standards, customer service standards, and logistical standards. Compliance can be met within an organization.

Chatbots help you take advantage of AI for real business outcomes. You can gather critical customer data to improve customer experience in ways that you may not have considered. Chatbots can also help nurture leads and build trust with potential and current customers. But to harness all of these benefits, you need to have a plan and the guidance of an expert. Working with a chatbot consultant will give you the best bang for your innovation buck when introducing AI to your business.

How Do I Get Started with a Chatbot Consultant?

The process starts with a conversation. In week one, the consultant will discuss the value of chatbots and determine the feasibility of integrating conversational AI into your business. You’ll help the consultant understand your industry, where your comfort level is with AI, and what your expectations are. From there, the best chatbot consultant for your industry will be assigned, and you’ll move to the next phase of your project. 

In the second phase, you’ll come up with a shortlist of possible use cases and desired results and then team up with the consultant to select the best use case. The consultant will work with you to develop KPIs for success and will start to discuss the vendor landscape. 

Integrate AI into Your Business

The ChatC Group has developed an agile process that can be customized to work for every chatbot project. It’s fast and clearly defined, so you know exactly what’s going to happen next. No matter who you procure as your chatbot supplier, ensure they’re working with agile methods. It’ll save you money and time in the long run. 

You can avoid time-consuming outdated procedures and meetings because discussions focus on solutions instead of specs. A solution-focused project also means there’s much more opportunity for collaborative partnerships, which foster better working relationships. Agile projects are more fluid and flexible, meaning they can pivot based on feedback. The ability to adjust on the fly means your project has a lower risk of failure, is less likely to incur cost overruns and will deliver a better product.

What Are the Benefits of a Chatbot Consultant?

Working with a chatbot consultant that takes an agile project management approach means you work with people who are already experts, instead of trying to get your in-house innovation team up to speed. They are likely already busy with projects and their precious time would be better utilized providing context to the chatbot consultant and development team.

An agile chatbot consultant also means a faster process, from start to finish. With a traditional consulting approach, your AI integration project could take up to six months. With an agile approach, consultants start implementing your AI systems within four weeks and are ready to launch a minimum viable product to your customers in less than three months.

If you are interested in adding AI to your business but are understandably cautious about the investment and the risks involved, get in touch. A chatbot consultant can help you identify and mitigate risk to deliver the benefits of AI for your business.

Automation and artificial intelligence (AI) are really changing how we work in all industries. And while some may fear this new technology, there are many ways that AI and automation can and will drastically improve the way we work and what we can do for others. The healthcare industry is one of the sectors that really stands to benefit. 

In an industry that is focused on patient care, it can be difficult to see how technology could replace the doctors, nurses and scientists at work. The reality is that technology is there to assist these professionals and help patients with access to faster and better care.

examples of automation in healthcare

AI and Automation Are the Ultimate Medical Assistants

Automation and AI are designed to complete predictable, repetitive tasks. Medical staff worldwide spend excessive time on data entry, answering questions that didn’t warrant a whole appointment, and filling out endless forms. 

MedPageToday says that “For every hour of direct patient care activity, two hours are spent [by doctors] on typing, data entry, and paperwork.” They explain further that up to half of a doctor’s time in the exam room with the patient is spent on typing, data entry, or dictation. That’s time they’re not interacting with the patient. 

We also know that the medical industry has notoriously long working hours. The Atlantic says that doctors in America are expected to spend upwards of 80 hours per week in the hospital, and many doctors regularly work 28-hour shifts. 

How well does the human brain operate after being awake and expected to work for 28 hours in a row? Not well… Sleep deprivation of 24 hours or more is similar to having a blood-alcohol level of 0.1%. 

Suppose automation could take on many more repetitive administrative tasks that doctors, nurses, and other healthcare professionals have to do. In that case, the hope is that they will be able to spend more time on direct patient care and work more reasonable hours. Healthcare professionals need adequate rest to keep providing the life-saving care they do day after day.

examples of automation in healthcare

How Exactly Will Automation and AI Advance or Improve The Healthcare Industry?

Healthcare is an industry that is always going to have a human element to it. One of the challenges facing healthcare is a massive gap between the number of healthcare staff that exist and the number needed to support the world’s population adequately.

Automation in healthcare will narrow that gap by giving practitioners more time with patients and less time doing paperwork. A recent study by McKinsey states that “AI can help remove or minimize time spent on routine, administrative tasks, which can take up to 70 percent of a healthcare practitioner’s time.”

There are already many automated systems in the healthcare industry that help increase efficiency, reduce the elements related to human error, and give staff members more time for work that requires human finesse. 

examples of automation in healthcare

3 Examples of Automation in Healthcare

Systems like automated patient check-ins and patient data management can give doctors hospital-wide access and online patient access (instead of carting around paper charts). Automated scheduling systems allow patients and healthcare professionals to have more control over their medical health. 

One of the most significant assets and benefits of automation is that it may allow the healthcare system to reduce overtime. This should mean better care in the long run since staff should be more well-rested, less stressed, and be able to work at optimum levels and reduce the number of surgical or diagnostic mistakes that may happen. 

Automation is also arguably better for the environment, reducing the amount of paper needed for doctors to access patient records.

Here are a few more examples of automation in healthcare that improve care quality and save time for staff. 

  1. Continuous Glucose Monitors

Continuous Glucose Monitors (CGM) are one effective example of automation in the medical system that has been around for quite a long time. The first CGM was approved for use in the US by the FDA in 1999. 

CGMs originally were only intended for Type 1 diabetics, but recent development means they’re now being used for those with Type 2 diabetes as well. CGMs have given many patients with diabetes increased quality of life.  

In August 2020, the FDA approved the first automated insulin delivery system for diabetes management. The MiniMed 770G System is designed to monitor blood glucose levels and deliver basal insulin doses with little or no user input. The system is currently only aimed at children ages two – six with Type 1 diabetes. Managing diabetes in children can be extra challenging, so this automation should help improve their insulin delivery experience and relieve some stress and worry for caregivers. 

  1. Automated Patient Reminder Systems

Medical support staff in all types of clinics spend tons of time on the phone to patients, reminding them about appointments, booking appointments, or letting them know that lab results have come back and they should contact their doctor. 

Automated systems can do all of these things, leaving staff to deal with more complex projects. These systems can send notifications to patients via text, email, app notifications, or even a voice note. The patient can even choose what type of notification is best for them. The benefits of automated systems are as follows: 

  • frees up staff’s time 
  • reduces no-show appointments
  • ensures no patients fall through the cracks
  1. Chatbots to Assist Professionals and Patients Alike

Chatbots cannot replace a doctor’s expertise or take over much of a patient’s care, but they can help doctors and other medical staff work more efficiently. Chatbots can help with many things, including the following examples of automation in healthcare: 

  • answer simple questions
  • refer patients to further information sources
  • help staff do initial triaging to prioritize patient care
  • help patients book appointments
  • collect follow-up post-care information from clients

Chatbots are also starting to be used in mental healthcare, with apps like Woebot. Woebot helps users work through common challenges they face with depression, anxiety and mood disorders, based on cognitive behavioural therapy techniques. The app also senses when the user might need a real human’s help and recommends that users talk to a professional. 

examples of automation in healthcare

Automation Will Improve Healthcare

The use of AI will have an impact on the healthcare workforce around the world. Some jobs will change drastically, and some will be improved considerably with the virtual assistance of chatbots and other automation applications. 

If you’re curious about how an AI chatbot could be designed to converse with your medical professionals or patient population, get in touch with one of our seasoned chatbot consultants to discuss your specific use case.