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Four reasons utility companies should be using Conversational AI to provide better customer experiences

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The customer service landscape has evolved significantly in the digital age. Customers expect fast, convenient service on their terms – and utility companies are no exception. 

For utility providers looking to deliver an efficient, seamless and convenient customer experience, Conversational AI might be the answer. For the most part, customers don’t typically engage with their utility providers until they either encounter a service issue or need to manage their account. In the event of an influx of customer complaints or interactions, the benefits of a 24/7 Conversational AI channel would be significant. It’s ability to answer common customer queries instantly in the channels they prefer to interact on could reduce call centre costs by 30%, decrease time spent on hold, and increase customer satisfaction. 

Download the Guide to Conversational AI for Utility Providers

Below, we discuss some situations in which Conversational AI would both improve customer experience and provide business value for utility companies. Please note that the examples given are not exhaustive lists.

1. It can benefit customers by offering simplified account management

Where customers would previously have had to fill out a lengthy form, navigate a number of page menus or place a call to a call centre, a virtual assistant or Conversational AI interface allows for one simple and convenient channel to manage these inquiries. Making account management painless for customers is a strong differentiating factor for utility companies in particular, as the industry is one of the lowest-performing in terms of digital experience. Currently, only 33% of customers report experiencing a customer experience that stands out. Below are some potential account management use cases that could benefit from Conversational AI:

  • Billing: customers can view their outstanding balance, pay their bill, and ask questions to help them better understand their billing. 
  • Usage: customers can view their usage levels and compare them month-to-month. Being able to conveniently track usage can help customers conserve energy and have increased consistency in their monthly bills. 
  • Services: customers can sign up for services such as paperless billing or autopay, file a damage complaint, or request services such as tree trimming.
  • Alerts: customers can sign up to receive notifications and alerts. For example, notifications about invoices becoming available, an alert that informs the customer that their usage is high, or staying informed on planned or unplanned power outages.

2. It can answer frequently asked questions faster

Call centres and customer service agents can quickly become overwhelmed by frequently asked questions that could easily be deflected by a 24/7 Conversational AI channel. Imagine the improvement to the customer experience if customers could quickly ask a question to a chatbot or virtual assistant and get an instant and correct response instead of having to wait on hold or wait for an email reply. In the energy and utility industry specifically, customers can face up to 72 minutes waiting on hold, which can lead to ongoing frustration for both customers and the customer service agents who need to help them. Below are some examples of FAQ’s that customer service agents routinely have to answer that could easily be contained and answered by a Conversational AI system: 

  • Outage information: during a large scale outage, call centre wait times skyrocket as every impacted customer is looking for information. Conversational AI can deflect spikes in call volumes by providing up-to-date outage information and expected resolution times online and on the channels customers prefer, while only escalating more complex customer queries to call centre agents.
  • Prices and rates: being able to provide customers with a rate approximation for their area can go a long way towards exceptional experience. 
  • Peak periods: keeping customers informed about when utility costs are at their highest and lowest can help customers plan for when to use high-energy appliances, and can lead to improved satisfaction. 

3. It can provide public safety information more easily 

A strong asset many utility companies have on their website is the abundance of public safety information. Keeping customers well informed and safe is extremely important. Conversational AI can help to answer simple questions related to energy and electricity safety, or direct a customer to a particular information page if prompted. In either circumstance, it easily directs  customers to the right information, increasing the likelihood that they will consume this content and get the right answer to their query. Below are some examples of public information that becomes more easily accessible to the customer through Conversational AI channels: 

  • Storm safety: keeping customers informed about storm safety is not just beneficial from a customer service aspect, but is important for public health and safety too. Giving the customer information about storm preparation, how to prepare an emergency kit, providing storm safety checklists and informing them on how to safely reconnect after a storm is crucial, but can be challenging if a customer needs to sift through numerous article pages. 
  • Green practices: reducing environmental impact and encouraging energy conservation is becoming one of the most important things customers look for from their utilities company.
  • Information for residential and business customers: customers require specific information based on the services they are using. Comprehensive information about the differences in services based on customer type elevates the customer service experience. 

4. It can provide actionable business insights and gauge customer satisfaction 

Conversational AI has significant merit in terms of customer experience, but the internal use cases are just as valuable. Data gained through real-time customer interactions can be invaluable to an organization, especially when it comes to content consumption and evaluating how customers are interacting with your brand online. Below are some examples of how insights derived from Conversational AI interactions can help utility providers: 

  • Assessing value: based on common customer inquiries and complaints, utility companies can assess the usefulness and value of the services and content they offer, and act accordingly.
  • Preventative action: based on the analytics derived from real customer interactions, utility companies can note common pain points in their customer experience or services, and take preventative action to improve them. 
  • Sales: by analyzing insights from Conversational AI channels, utility companies can create customer personas and recommend additional services and upsell opportunities. 

If you are looking for more information on how Conversational AI can benefit the Utilities industry, feel free to download our Guide to Conversational AI for Utility Providers.

Data Scientist

As a Data Scientist, your day-to-day will involve writing queries, building dashboards, and preparing analytical reports about product performance for our clients and the Wysdom.AI team.  You will work with SQL, Tableau, and Python and ML Frameworks/libraries (among other tools) to create stunning visuals showing how Wysdom.AI is making their customers’ experience even better.

Michel Benitah

VP, Optimization & Delivery

Michel has 20 years of experience in leading the successful delivery of Conversational AI and Natural Language Customer Care solutions to some of the largest financial, telco, healthcare, utilities, and retail enterprises throughout North America. 

 

Prior to joining Wysdom, Michel spent 20 years at Nuance Communications, holding senior management and leadership positions within the enterprise division, most recently as director of the Toronto office and professional services team.

Ian Collins​

CEO, Co-Founder

Ian has founded and grown 6 technology companies over the past 20 years, primarily in the enterprise software space including Wyrex, Mobile Diagnostix (HP), Clickfree, and most recently Wysdom.AI. 

 

Ian invests, mentors, and sits on the boards of several startups in the Toronto area.

Jeff Brunet​

President, Co-Founder

Jeff has more than 20 years of experience in the startup world, founding and growing 4 software companies: AracNet, Mobile Diagnostix (HP), ClickFree, and Wysdom.AI. 

 

His in-depth understanding of software development and the challenges in making new technologies successful in the startup world prove invaluable as he serves on the boards of XMG, SurfEasy (Opera), Locationary (Apple), Groupie, and as an advisor to Pushlife (Google), LogMeIn (IPO) and HP. 

 

Jeff holds 23 issued patents in the wireless and consumer electronics spaces and is the lead inventor on 30+ pending patents.

Nitin Singhal

Chief Operating Officer

Nitin has over 20 years of success in global executions of business technology, driving operational efficiency and digital scalability for some of the world’s largest enterprise clients. 

 

Nitin spent 16 years at Redknee holding executive positions in Research and Development, Customer Operations, Partner Alliances, and most recently as COO.

Karthik Balakrishnan

Chief Technology Officer

Karthik has over a decade of hands-on, proven global expertise in emerging technologies and implementing intricate platforms and solutions for telecommunications and enterprise during his time at Amdocs, with senior positions in their India, Cyprus, America, and Canada offices.

Karen Chan

Chief Engineering Officer, Co-Founder

With 20 years of experience in software and mobile, Karen has held senior technical roles at 5 startups, including Wysdom.AI, Clickfree, Mobile Diagnostix (HP), Teamatic, and Virtualthere.

Frederic Lam

SVP, Sales

Fred brings in 25 years of international experience in sales and business development across North America, the Caribbean, Asia-Pacific, Europe, and the Middle-East.

 

Prior to Wysdom.AI, he held sales leadership positions at Oracle, Redknee, and Movius/Glenayre, successfully growing revenues in both large and small organizations. Fred has also been involved in the start-up community in the earlier stages of his career as an Investment Manager with SP Capital and was an alternate director on a few investee companies.

Artiom Kreimer

VP, Product & Analytics

Artiom has spent 10 years in software and mobile engineering, specializing in quality assurance and customer service. He has worked in testing and QA at both startups and in enterprises such as Clickfree, TELUS, and Freescale Semiconductor.

Implementation Engineer

As an Implementation Engineer you will be responsible for the solution integration of an enterprise grade conversational AI experience from a technical perspective. You will work closely with the lead solutions architect and be the technical face of the implementation team and lead the customer through the entire implementation cycle. You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.

Program Director

Responsible for the overall success for the client, including the end-to-end delivery and optimization of the solution, you will manage the sales process from pillar to post, including technical and commercial proposals, pipeline management, sales forecasting, and contractual documentation.

Conversational AI Lead

As a Conversational AI Lead, you will be responsible for leading all Conversational AI program activities.  You will work with all team members to ensure deliverables are completed on time, with high quality and exceeds client expectations and goals.

Conversational AI Specialist

As a Conversational AI Optimization Specialist, your responsibility will be to help drive the success of our solution for our clients. This involves building conversation flows, performing AI training, and partnering with clients to enhance their deployments.

Conversational Experience Designer

As a Conversational Experience Designer, you will be responsible for the designs of the overall customer experience, including the end-to-end dialog flows & journeys of the solution ensuring  design leverages  UxD best practices for optimal customer experience.

Cognitive Data Specialist

As a Cognitive Data Specialist, you will be responsible for the performance of the AI and quality of the corpus and will focus primarily on the VA training.  You will work with the client as required to ensure corpus is performing in an optimal manner.

Solution Architect

As a Solutions Architect within the Client Services team, you act as trusted advisor, responsible for the technical requirements and end to end solutions integration of Wysdom cognitive services within the client’s environment.  You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.