Is Conversational AI Right for Your Business?

Alex is desperate to get his vehicle tire replaced ahead of the long drive early the next day. The local tire store is closed for the day and opens late morning. Looking for options, he logs into the tire company website and is greeted by a new avatar.

Emma: Hello, I am Emma, here to help you. What are you looking for today?

Alex: Hi – I need replacement tires for my SUV.

Emma: Sure, I will be glad to help with that. Please select your vehicle make from the options provided ……

A few minutes later, Alex signs off, thanking Emma. He just placed an order for express delivery of two spare tires for his SUV to be delivered by 5:30 am. He is relieved. He can now catch a good sleep before he sets out on his long drive the next morning. 

In today’s world, while humanity sleeps, smart AI bots stay awake and keep your business ticking, answering routine questions, taking queries, recording service requests, or even helping complete a sale. With little or no human interaction from the business. An incredible upgrade to customer experience –unimaginable just a few years ago. That is the power of Conversational AI. 

As businesses transform digitally, they find that conversational AI for customer experience (CX) are viable options that must be considered.  

Read more: 5 Points to Evaluate Before Adopting AI in Your Organization

Key elements of Conversational AI

Conversational AI is an interesting blend of tech Natural Language Processing (NLP), machine learning (ML), deep learning, contextual awareness, and Art. It allows bots to converse like human beings by recognizing speech text, understanding context, understanding multiple languages, and creating as close to human interaction as possible. Art brings a human touch, elements of empathy, mannerism, and contextual personalization, making it seem very real.

Conversational AI comes in two flavors: AI chatbots that are predominantly text-driven and AI voice bots that serve voice responses. The realism in voice (personal language preferences, dialects, and tonality) brings a new stickiness level to the CX instance. 

Unlike older generation chatbots, Conversational AI bots are not script-based, rule-driven programs. The AI element (especially in voice bots) aims to ‘understand’ unspoken emotions and customize the menu’s responses to ensure a more meaningful experience. 

Technology components

Conversational AI technology includes NLP, machine learning, dialog management – which might need NLU (Natural Language Understanding) – where unstructured customer inputs are mapped based on context and keywords to something that can be interpreted. It then gets presented using NLG (Natural Language Generation). 

The process uses orchestrated responses for conversation flow, using the client’s history, context, and past responses as required. For Conversational AI voice bots, ASR (Automatic Speech Recognition) and TTS (Text to Speech) routines need to be integrated with necessary customization and training. This throws up unique challenges as language, and human interactions have cultural elements that vary widely across geographies. 

Successful deployments of Conversational AI are driving a change in the business rationale for its consideration. Initially, the business case for AI Chatbots evolved around reducing the human resource costs required to provide 24×7 Customer Service. However, when implemented correctly, it reduces people costs, saves on training, unlocks efficiency, and increases sales – a priceless return on investment!

Examples of successful conversational AI deployments

  • Financial Services: PwC, a globally reputed Big 4 Accounting firm, deployed AI-powered NLP-based chatbot to answer queries on HR, finance, and business process policies. Available to 10,000 employees in one region, PwC frees up the HR team to focus on more strategic issues and less on routine matters. 
  • Airline Sector: Lufthansa’s Elisa, Nelly, and Maria are the airline’s trained AI chatbots that go beyond answering routine questions from passengers. These chatbots will even connect a passenger to a live speaking human agent when required. The passenger doesn’t need to wait in line, and the agent has a complete context to address the query quickly.
  • Services & Utilities: Bluehost is a leading hosting services company with a chatbot well equipped to handle most client queries. This includes billing details, pending bills, current plans, renewals, and some others.
  • Insurance Industry: Geico, a leading insurance company, has its now popular and friendly AI virtual assistant, Gabby. Gabby is also in constant learning mode as it trains on customer inputs and queries to improve further. 
  • Fashion Industry: Sephora is a popular fashion brand that is an early adopter of conversational AI chatbot tech. The bot throws up a quiz for a new visitor, which it uses to customize recommendations and create a user profile. The bot allows you to apply various products to your selfies to visualize how you look in them. The popular bot is now rolled out across multiple platforms, including FB Messenger.

Not a panacea

Understanding customer process, system maturity, and knowing which customer touchpoints to automate are critical. If AI is introduced in a hurry before all customer interface contexts, workflows, and escalation paths are clearly defined or understood, it can create chaos and do more damage than good. 

Make sure you ask for the latest version of the AI model from the vendor, understand the road map, and consider the best for your deployment. The AI models need to be trained for your specific business context, product categories, and business logic. Also, test internally or do a pilot for early adapters and measure feedback to see the response before full-fledged large-scale deployment. Remember, AI is a tech solution and will not fix a broken business or client process.

Watch our video to learn more on improving your capabilities for AI/ML testing

Conversational AI is here to stay. Apart from all the apparent benefits stated in this article, the bot is a goldmine of data that can help conceptualize targeted campaigns and build memorable engagements if mined correctly and integrated into CRM. As other related technologies improve (such as gesture tech), expect AI chatbots to become a ‘must have’ for most businesses.

AI deployments are soaring in the business world at multiple touchpoints – from websites and social media platforms to apps and HR systems catering to customers and employees. 

Start a conversation with Trigent today

Conversational AI ensures your customer experience goes up a notch. Find out at what customer touchpoints in your business you should consider deploying conversation AI and how best to implement the solution. Ask our retail gurus at Trigent. We have developed AI solutions for our customers in the healthcare, banking and finance, transportation, and logistics industries. Benefit from our experience. We are optimistic this chat will help drive an entirely new conversation with your customers.

Over 70% of customer interactions will rely on chatbots in 2022. Delight your customers with Conversational AI. Let’s talk

Extract 40%+ efficiencies with Robotic Process Automation in Healthcare

Importance of Robotic Process Automation in healthcare

The healthcare industry is facing the biggest challenges (and opportunities) in the prevailing situation. Traditional modes of delivery of care have been disrupted, coordinating patient care is driving the demand for sharing data across silos and technology is playing a vital role in enabling remote diagnostics, tracking treatment effectiveness, and monitoring patients while they recover at home. Conventional norms are being challenged. The changes however are accompanied by a different set of considerations that need to be addressed – Data privacy and Cybersecurity for instance. So how can all these be overcome?

Healthcare providers have to manage the massive amounts of patient data, triage the cases, optimize appointment scheduling and treatments and expedite billing & claims management. Apart from being HIPAA compliant, they also have to ensure error-free streamlining and execution of the tasks, which usually prove to be a gargantuan effort. However, these pain points can be overcome by automating the entire process.

Robotic Process Automation (RPA) in Healthcare Industry

The convergence of robotic process automation in healthcare industry has helped providers accelerate their digital transformation journey. AI-powered RPA has helped the industry deliver efficient services across the value chain – from patient experience to claims management and revenue cycle management to analytics.

CAQH in its eighth annual report stated that automating healthcare administrative transactions has reduced annual costs by $122 billion, $16.3 billion more can be saved through further automation. Gaining traction in the healthcare industry, RPA has enabled automation of routine and repetitive tasks, thereby freeing healthcare professionals to focus more on the much-needed human element — patient care.

How RPA enhances healthcare service

Implementing robotic process automation can channel more resources and optimize healthcare tasks that are of prime importance.

Improved patient support with RPA in healthcare

One of the most important tasks rendered by healthcare organizations is providing ideal care according to each patient’s unique needs. With RPA implementation, healthcare providers have witnessed significant improvement in triage and the resulting patient-facing operations.

Robotic process automation simplifies and streamlines the entire procedure, right from patient data collection to insurance claims. Bots can manage patient appointments as per location, test results, and doctor availability. They can also assist patients with upcoming appointment notifications, medical tests, prescription pick-ups, and discharge guidelines.

Error-free and reduced repetitive work

In RPA, bots replace human involvement in repetitive tasks like patient onboarding, data extraction/migration, appointment/treatment scheduling, and claim management among others. This means work is done in a considerably less amount of time with no errors.

Automating healthcare processes can help providers reduce critical errors and achieve 100% accuracy rates while providing patient care. Data collected from the patient can be processed as per diagnosis and location, matched with the relevant doctor. In case of the doctor’s unavailability, a bot will automatically reschedule and inform the patient of the change, avoiding confusion and hassle.

Reduced operational costs

By embracing RPA, healthcare organizations can reduce operating costs significantly, while leveraging a cost-effective workforce. Increased automation enhances process efficiency, allowing staff to spend less time on tedious manual tasks.

Traditional methods involved manual data entry, scheduling, record maintenance, and claims management, each of which involved a considerable number of people. Since every task was done manually, there could be errors, and rework could come with a cost. RPA implementation standardizes the entire lifecycle, eliminates rework and corrections.

Reduced Data Breaches

Ensuring the privacy and security of sensitive patient data is one of the top concerns for healthcare organizations. Using RPA ensures that private information can only be accessed by the appropriate staff. This role-based access minimizes data breaches or improper use of data.

RPA allows healthcare providers to control data access and ensure that only the relevant staff can access private information when required. This control is critical since doctors, IT staff, and the claims departments need varying levels of access to classified patient data.

HIPAA and other regulatory compliances

Robotic process automation helps maintain compliance by securing medical data and ensuring all processes are in line with HIPAA and other regulatory bodies. Custom reports and detailed audit logs can also be maintained.

Healthcare providers may use different applications to store and access patient data. Securing such a vast amount of information can be complicated and prove to be challenging. With RPA, HIPAA compliance becomes easier to manage. Audit controls can also be easily implemented using process automation. Detailed audit histories can be set up automatically and any time there’s an internal or external audit, auditors can easily access the data.

Automation is here to stay. RPA is flexible to automate any procedure and is basically to help clear the clutter, thereby streamlining the entire process. With RPA around, even searching for a needle in a haystack will seem effortless.

The Trigent Advantage

With change happening at a rapid pace, the healthcare industry is transitioning to automation to offer better outcomes to patients. Be it migrating from a legacy system, updating a current workflow, or even on advisory, Trigent is your go-to partner for all your technology requirements. Our RPA experts will take care of the entire cycle from adaption to managing, while your healthcare providers do what they do best-providing optimal patient care.

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