What Is Conversational UI?

We’ve discussed how AI powers technology for marketing automation, customer service communication, and personalization. Now it’s time to double-click into the systems that empower AI to behave as human-like as possible.

A Conversational User Interface (CUI) is an overarching system that fuels AI. This system is what makes Artificial Intelligence intelligent. AI Assistants go beyond what you think of as an outdated chatbot, primarily because AI platforms integrate Natural Language Processing (NLU and NLG), decision and policy management, business process automation, and deep learning capabilities to intelligently automate customer engagement.

We’ll break down how Conversational UI systems work to power a human-like Virtual Assistant that can supercharge your business.

The Difference Between Conversational UI and Chatbots

“Chatbot” is sometimes used as a catchall term to describe any automated communication interface, ranging from rules-based bots to AI-powered virtual assistants. There’s cause for this mixup, though. Conversational UI refers to the suite of AI technologies that creates smart assistants, whereas a chatbot is a singular software program that communicates with customers primarily through text. Chatbots can leverage Conversational UI or not. A chatbot that does not integrate Conversational UI typically runs on a flow-based model, or a scripted conversational flow-chart for responses. Think of a flow-based chatbot as a program that can respond to customers, but only as much as the script allows it to. When customers prompt a flow-based chatbot, the chatbot guides them through the conversation flow chart, step by step.

Two core differences between Conversation UI and chatbots is intelligence and implementation. Conversational UI is built to perceive, understand, decide, act, and learn, which provides a human-like customer interaction. These processes create smarter Virtual Assistants, whereas many chatbots are limited by their flow-based infrastructure. Chatbots can be incredibly helpful in directing customers to their desired resource, answering frequently asked questions, or curating search results—but they are limited by their infrastructure to go beyond that.

Let’s take a deeper look at the Five Pillars of Intelligence and how they operate holistically:

  • Perceive: AI Assistants perceive when new contacts are added to your CRM, MAP, or database. These contacts can be automatically linked to a campaign for the AI Assistant to promptly and persistently follow up.
  • Understand: AI Assistants understand unstructured text in two-way conversations by leveraging Natural Language Understanding (NLU) to interpret a contact’s intent (such as expressing interest in a meeting, requesting more information, or opting out) as well as entities (including contact information or date/time). AI Assistants engage with contacts over multiple communication channels and in multiple languages to drive towards the next best action.
  • Decide: AI Assistants know when to notify your Reps about a hot lead or customer in need, nurture a relationship over time via email, or even stop messaging an uninterested contact.
  • Act: Once the AI Assistant makes a decision, it autonomously executes the next best action as it pertains to that decision. The next best action could be continuing a conversation with Natural Language Generation (NLG), alerting a Salesperson of a hot lead, updating contact data in your CRM, or continuing the conversation at a later date—all without human micro-management
  • Learn: A Conversational AI Platform is always improving itself by leveraging machine learning and deep learning, which means the first four pillars are getting stronger every day.

Conversational UI Framework

AI Assistants act like digital team members, which requires a Conversational UI framework designed to hold two-way conversations naturally and efficiently. There are many considerations when it comes to designing a Conversational UI framework, but the most important is to get to the root of what your customer is trying to accomplish when using the system.

Understanding the customer needstate influences how you communicate with them, and it’s equally as critical to understand the user’s control of the system. The user should feel in control of the system, and not the other way around. This means the Conversational UI needs to allow the customer to reset or interrupt the conversation at any time, change topics, or ask questions. Remember: every interaction should feel natural, organic, and human-like.

Conversational UI Examples

Today’s marketplace is embracing digital at breakneck speeds, but there are four notable sectors where Conversational UI is being adopted at higher rates:

  1. Healthcare – As a result of COVID, the healthcare industry was forced to embrace digital solutions overnight to meet patient needs. The pandemic accelerated innovation in order to provide longitudinal care through patient portals, virtual appointments, scheduling, and more. Practitioners need to collect a lot of patient information, as well as monitor their health, which is one way Conversational UI can be integrated. Gathering this patient information can be handled by an AI Assistant that has deep learning capabilities and can intelligently automate patient engagement.
  2. Education – Online education platforms require high levels of student engagement, as well as the management of documents, data, and deadlines. Conversational UI is designed for both the administrator and the student, prompting engagement and organizing information.
  3. E-commerce – There are countless ways to integrate Conversation UI into retail commerce, B2B sales, and beyond. Over-leveraged customer-facing teams can increase efficiencies by automating time-consuming outreach and real-time customer service responses without adding overhead.
  4. Smart Devices – Many consumers are interacting with smart devices like speakers, wearables, and televisions daily. Voice commands, and the ability for the device to understand and respond, is a prime example of Conversational UI in action.

Conversational UI can grow your business without increasing overhead. Below are just a few ways Conversica AI Assistants can boost your bottom line:

  • Strengthen the top of your funnel with up to 100% lead coverage and increased engagement rates. Conversational Marketing drives the next best action across website chat, email, and SMS.
  • Never miss a Sales-ready opportunity again. Build a healthy pipeline of quality opportunities with Conversational Sales. Conversica AI Assistants can do the work of at least 10 SDRs and achieve 4x pipeline at half the cost of employee-driven engagement alone.
  • Increase efficiencies for your over-leveraged Customer Success teams by automating time-consuming outreach with a Conversica AI Assistant. Retain and grow revenue from your base using Conversational Customer Success.

Conversica AI Assistants are easy to deploy thanks to a rich and extensive conversation library, battle-tested by more than one billion interactions. Interested in learning how adding a Conversica AI Assistant to your team increases capacity, drives higher engagement rates, and ultimately generates more revenue for your business?

Are You Ready for a Revolution in How Revenue Teams Do Business?

Are You Ready for a Revolution in How Revenue Teams Do Business?

The world is running mad—and it’s negatively affecting revenue teams. Marketing, Sales, and Customer Success professionals are tasked to do more with less—leading to overwork, subpar results, and lots of stress.

You haven’t stopped trying to improve, of course. You’ve invested in your tech stack—heavily. But it’s become needlessly tangled, bloated, and unwieldy. It’s more like you’re business is suffering from MarTech madness!

Not to mention that many businesses have seemingly hit a plateau of what they can accomplish with what tools they have. Clearly, forward-thinking organizations desire to reach new heights—which includes driving opportunities with ease, building stronger teams, and growing resilient brands that will gleefully tackle the challenges ahead.

Luckily, we think we’ve found the solution. Are you ready for a revolution in revenue teams? Stay tuned for a big announcement from Conversica in October—designed to help your revenue teams achieve and overachieve with ease.

Don’t miss out. Get ready for a game changer. Sign up for updates and be the first to know about our big news coming in October.

Marketing AI: The New Frontier

Marketing AI: The New Frontier

Marketing AI: The New Frontier
If you haven’t seen the cover story for the latest issue of PeerSphere magazine, check it out! The article features Conversica CMO, Carl Landers, along with other Marketing leaders in the technology industry, on their perspectives on how marketing AI will positively impact the way Marketers work.
During Super Bowl LI, more than 100 million viewers heard that “one of the most powerful tools our species has created” was being unleashed to search out every possible deduction for individual tax returns this year through H&R Block. An hour later, Patriots quarterback Tom Brady appeared to leverage his own version of artificial intelligence when he learned the subtle weaknesses of a clearly more talented Falcons team, overcoming a 25-point deficit and securing a win.

While marketing AI functions have been widely deployed for years to improve everything from manufacturing efficiencies to personalized searches, Marketing teams have yet to realize the full potential of this game-changing innovation. However, it is most certainly on Marketers’ radar.

A report by Weber Shandwick shows that 68 percent of CMOs are planning for the AI revolution, and a majority said they expected AI to have a bigger impact on Marketing than even social media.

Dario Debarbieri, Chief Marketing Officer for IBM Watson Customer Engagement—North America, also believes that AI represents a revolution for Marketers today—and that the CMO who fails to leverage cognitive computing tools today would be like the CMOs who failed to establish company websites in the late 1990s.

“Imagine you were a CMO in 1999, and you decided that you were not going to create a new digital channel by building a website that had the capability to sell your products,” Debarbieri says. “It’s almost the same comparison today with cognitive computing because if you’re a CMO, acting and reacting on old data and using unintelligent tools will be a fatal mistake.”

Marketing AI: Looking Beyond the Past

The ability to look toward the future to predict consumer behavior is potentially one of the greatest benefits that marketing AI has to offer. While most Marketers still look to past data to inform their customer engagements, the holy grail lies in Marketing’s ability to process and act on customer data in real-time to create the personalized, relevant engagements that they expect. However, according to a CMO Council study, only 7 percent of Marketers revealed that they are able to consistently create real-time, personalized engagements for the customers across both digital and physical touchpoints.

Debarbieri says that another recent survey illustrated the importance of cognitive computing tools for CMOs: 75 percent of companies today struggle with 25 percent of their available data, and worse still, they have virtually no access at all to the remaining 75 percent of their unstructured data.

“We know that all CMOs have problems dealing with data,” Debarbieri says. “We have so many dashboards and so much information, but most of the information is not real-time, and a vast amount of data is being created in multiple forms. There is the data that a company will create or acquire and will know well. Still, the unstructured data—which comes from comments on social media, different channels of communication like video, audio, email, instant messaging, etc.—represents an immense amount of information that we can’t grasp without cognitive capabilities. For the most part, Marketers only understand the impact of that data in past tense and have to develop their own conclusions and decisions based on the information that they receive. On rare occasions, conventional data tools will also give you real-time information that helps you to make rapid decisions. But what you cannot do—which AI allows you to do—is actually predict events with intelligence embedded so that you have a sense of future outcomes as well.”

Attention Marketers: Marketing AI Is Your Best Friend

Most companies have reached a point at which the sheer amount of data coming in and the ability to process, interpret and act upon those insights are beyond what humans have the capacity to do. According to a CMO Council study, only 3 percent of Marketers’ data sources are delivering a comprehensive view of their customers that would enable personalization.

However, the digital transformation that Marketers today are seeking most certainly entails the ability to mass-personalize content and communications at scale and to an audience of one. With machine learning helping companies to gain a better understanding of customer behavior and more accurately predict the next action, marketing AI holds a great deal of promise when it comes to the ability to deliver a comprehensive view of the customer and personalize at scale.

Carl Landers, Chief Marketing Officer for Conversica—an AI solutions provider—explains that when it comes to personalization, the possibilities are really endless:

“AI is going to give us the ability to automate things that we’re already doing and free us up to focus on things that we’ve never been able to do before,” he explains. “This includes personalization at a mass scale. With machine learning and natural language processing, the machine is going to be able to extract insights from all of the internal and external data that we have about customers and make the right decisions in terms of what an individual should receive, what that next offer should be, what a web page should look like, etc. in order to best fulfill their needs. As a Marketer, this mass personalization has not been humanly possible, but the machine is going to do it for us, and it’s going to be a win-win for the Marketer and consumer.”

Using AI, Landers points to the Los Angeles Film School, which was able to increase lead engagement by more than 33 percent due to the implementation of an AI Assistant, which followed up with prospective students to set up appointments for them with admissions consultants.

“When you have 10,000 leads coming in every month, it doesn’t make economic sense to have a human try 12 times to reach someone when there are constantly new people coming in, so you might try two or three times and move on,” he explains. “However, research shows that to reach people, it can take up to 12 attempts to get their attention, so think of all the money they’re spending on advertising to drive that interest and not reaching people. With the AI Assistant, the school generated a 1/3 increase in sales pipeline, which wouldn’t have been humanly possible otherwise.”

The ROI of Marketing AI

When it comes to measuring the real value of marketing AI, there are two types of AI that must be viewed in much different ways. According to Landers, autonomous marketing AI—which processes information and automatically serves up the next offer or content based on data, thus requiring a much higher level of trust—makes it easy to determine ROI because the numbers are direct correlations to the implementation of AI technology. However, advisory marketing AI—which provides intelligence but ultimately allows the marketer to make a final decision before implementation—is much more difficult to justify because the technology enables better decision-making, but at the end of the day, the Marketer still makes the decision, and it is difficult to place a dollar amount on a better decision.

For Kathryn Morrill—former Inside Sales and Marketing Manager for CoolFront Technologies—the AI Assistant that her company implemented was viewed as a true extension of the Marketing and Sales teams as it managed all of the leads that came in. When a potential prospect viewed a piece of content, they entered the top of the funnel, and the first point of contact with those at the top of the funnel occurs through their marketing AI. The marketing AI then did lead qualification, which made the role of Sales much easier and the entire sales process much more effective, so the most obvious initial value from AI was qualitative.

“Before we could really put a quantitative value on our marketing AI, we knew the amount of time that it was saving and that it was providing a much better quality of life for our Marketing and Sales teams because we didn’t feel like we were drowning in things that we couldn’t get done,” she explains. “Quantitatively, there were initial savings because we didn’t have to hire another employee, but when we started comparing the conversion rate of those who engaged with our marketing AI to those who did not, we were able to see a 10-percent increase in conversion, and we attribute that to the fact that the AI is better at gauging who is a true, ready-to-go customer.”

Before Taking the Leap With Marketing AI

As with any new strategy, it is important to understand the complexities involved in marketing AI implementation upfront and to have a plan in place to streamline the process as much as possible. Landers emphasizes that while AI will ultimately make it much easier to streamline communications between buyers and sellers as much of this process will one day occur automatically through virtual assistants, the responsibility of the Marketer will be in packaging and articulating the brand’s value as commerce moves beyond self-service and toward auto-service.

“Today, AI is really about empowering humans to do better work,” Landers says. “Tomorrow, it’s going to be about AI interacting and taking a lot of things off our plate so that we can live better lives. It may seem far off to have a company AI interacting with a personal AI in order to make decisions, but I believe that is what we are moving toward.”

that we can live better lives. It may seem far off to have a company AI interacting with a personal AI in order to make decisions, but I believe that is what we are moving toward.”

As companies move forward in this new world of AI, Debarbieri says that regardless of the implementation choice, it is important that companies retain ownership over their own data. While he says that conventional data analytics software can offer important value for CMOs, he believes the increasing prevalence of unstructured data and the importance of real-time campaign recommendations will make AI platforms indispensable for CMOs.
In addition, Morrill explains that both the greatest benefit and greatest challenge of what AI can do is that the possibilities are endless, which can be enlightening but intimidating as well.

“If you don’t limit yourself to what you’re accustomed to doing traditionally, you’ll be able to see greater results just pushing by yourself a little bit outside your comfort zone,” she says. “The opportunities are endless, which can be very daunting because it’s very time-consuming to implement an entirely new strategy, and it requires a huge transition. But even if you’re a little hesitant, implementing AI will not be something that Marketers will regret.”

Dario Debarbieri
Chief Marketing Officer, IBM Watson Customer Engagement–North America

Dario Debarbieri began his marketing career in 1990. He studied law and economics at the Universidad de Buenos Aires. Throughout his career, he has held several leadership positions, starting as a Marketing and Communications Manager for what became the largest private pension funds company of Argentina. When he joined IBM in 1997, he was responsible for several strategic projects, including the IBM Argentina image recovery plan as Marketing Manager, and later became Manager of e-Business Marketing for Latin America. In 2001, while in New York, he managed the largest web-based collateral project while working with the Corporate Marketing Identity and Design team. He managed the One Voice Marketing project that expanded IBM’s marketing into 25 countries, including the first investment plan for IBM China and India. The project later became the Marketing Management System for all growth markets. In 2003, Debarbieri joined the IBM SWG Team, where he held leadership positions in IBM USA, IBM Spain, IBM Middle East and Africa, and SWG Marketing in Somers, New York. He now serves as CMO for IBM Watson Customer Engagement in North America.

Carl Landers
Chief Marketing Officer, Conversica

Carl Landers has been Chief Marketing Officer and Senior Vice President at Conversica LLC since March 2015. He oversees all strategic, operational, and financial aspects of Conversica’s marketing efforts, including corporate marketing, demand generation, communications, and events. Prior to joining Conversica, he served as Chief Marketing Officer at Serena Software, beginning in 2000. He joined Serena as Vice President of Product Marketing and Demand Generation after serving in a similar role at CA Technologies in its portfolio management business unit. His previous experience includes senior marketing, product management, and product development roles at Niku Corporation, Tyco International, and Raychem Corporation, as well as startups Perfect Commerce and Zoho Corporation. He holds a bachelor’s degree from Stanford University.

Kathryn Morrill
Former Inside Sales and Marketing Manager, CoolFront Technologies

Kathryn Morrill is a former Inside Sales and Marketing Manager for CoolFront Technologies. She is a results-driven professional business manager with key management skills and expertise in business development, comparative growth sales, trade marketing and CRM. Prior to CoolFront, she worked as a Trade Marketing Manager for EC Scott Group, a training, service, and sales company that focuses on building strong partnerships with prestige beauty brands and independent retailers. Previously, she worked as a business teacher for Williamson Central Schools in Buffalo, New York. He earned her master’s degree in business, management, marketing, and related support services.

This blog post originally appeared on PeerSphere and was reprinted with permission.

How Our Conversational AI Platform Personalizes Your Marketing Efforts

Today at Conversica, we celebrated another technology milestone and delivered advanced new capabilities to the Conversica AI platform which powers the millions of front-office conversations between people and AI Assistants.These capabilities give business users even more freedom and flexibility to personalize their AI-powered conversations with prospects and customers while still benefiting from the hundreds of proven pre-built conversations that allow Conversica’s AI Assistants to be productive from day one.

Users of this newly released version will benefit from a completely reimagined Conversation Editor, expanded conversation library and added visualizations of conversation flows. These easier-to-use interfaces and additional controls over the Conversica AI platform allows business users to focus more precisely on the purpose of each conversation they wish to deploy while Conversica’s data science and engineering teams make sure the conversations result in faster time to value and greater outcomes.

New Customer Success AI Assistant Tutorial for Conversation Editor
In a tutorial on our Conversation Editor page, Melia Spath, a Senior Customer Success Manager at Conversica, shows how Conversica’s Customer Success AI Assistant helps with account retention, scheduling reviews and up-selling to current customers. Malia also demonstrates how easy it is to set up a fresh campaign using our next-generation Conversation editor. She shows how to map a conversation to the UPSELL/CROSS-SELL Skill within our Customer Success AI Assistant to target any customer that may be right for an upgrade including how to easily navigate to the Conversation tab in the Conversica environment, select the UPSELL/CROSS SELL feature, map a new conversation, add an ID, change the status to active, and view the exchanges with your AI Assistant.

New Sales AI Assistant Tutorial for Conversation Editor
In another tutorial on our Conversation Editor page, Breanna Wilson, a Customer Success Team Lead at Conversica, shows another example of the flexibility of Conversation Editor within the Conversica Sales AI Assistant. Customers across a variety of industries use the Conversica Sales AI Assistant to drive engagement, schedule appointments and create opportunity pipeline. In this tutorial, Breanna shows how to create a new campaign using the SALES / ATTEMPTED CONTACTS conversation. This is part of the ACTIVATE Unresponsive Demand Skill which is a conversation designed to reach out to contacts or leads where a sales rep has attempted to make a connection but has been unsuccessful.

This is a great example of how to drive leads to receive information, work toward scheduling a meeting or branch into other conversations based on a lead response. For example, if they respond and say they are not the right person, the AI Assistant will ask who they should connect with instead and automatically take action to update the CRM system and notify the correct salesperson.

More Flexibility and Personalization with Our Conversational AI Platform
Conversica puts more flexibility in the hands of business users by enabling them to design and deploy intelligent, customer-focused AI conversations in response to dynamic business conditions without involving IT departments. The company automates the routine, tedious but important interactions and tasks, thus, freeing business people to do the higher value work they enjoy and together driving toward better business outcomes.

At Conversica, we are driving toward a future where every business person has an Intelligent Virtual Assistant.

You can read the full press release detailing these new product capabilities here.

5 Ways an Intelligent Virtual Assistant Shortens Your Sales Cycle

Shortens Your Sales Cycle
A collaborative blog post with contributions from Michael Hanson, VP of Marketing at CloudTask – CloudTask is a managed workforce provider for growing companies looking for B2B Sales, Sales Chat and Customer Support solutions. Their mission is to find prospects, nurture leads, close deals, and satisfy customers, to enable businesses to reach their goals.

Understanding Your Sales Cycle

The length of a sales cycle, though it varies greatly by industry and whether your business is B2C or B2B, is a great indicator of the efficiency of your Sales team.

But it’s not just important to keep the length of your sales cycle tight. It’s also important to provide a personalized experience to prospects and clients throughout the process. While your employees are essential to building relationships with prospective customers, technologies like Intelligent Virtual Assistants (IVAs) can help companies boost their speed and efficiency throughout the sales process.

From helping to funnel prospects, to answering pressing questions 24/7 and following up over months and months of email tag, AI-driven technologies like an IVA isn’t a substitute for human involvement – it’s an important tool that augments your Sales team to create a more efficient process and generate more leads.

The Growth and Power of AI in Sales

With Intelligent Virtual Assistants, we’re not talking about broken experiences and confusing workflows. AI technology has advanced rapidly in the last few years, so much so that it’s becoming more and more difficult to tell the difference between a “real” person and AI. In fact, 27 percent of consumers weren’t sure if their last customer service interaction was with a person or if it was actually AI.

It’s not a fad either. According to Finance Digest, by 2025 AI will power 95 percent of all customer interactions.

The best thing about an Intelligent Virtual Assistant? It can be personalized for your business so that you’re automating responses that make sense, reflect your values, and describe your products. At the same time, by using an IVA you can update your database, contact numbers and names, and automate the scheduling of meetings with your Sales team.

5 Ways an IVA Shortens Your Sales Cycle

#1 – Intelligent Virtual Assistants Find Prospects, Fast

Think about the power of an IVA. It can follow up on dead and ancient leads, with a trigger for example, if they have not been spoken to in a year. These are leads that previously no Salesperson would have touched that you’re giving yourself another shot at, with outreach that if the AI is set up correctly, appears to be personalized.

AI is, therefore, working as a member of your Sales team digging up old leads that previously would have fallen through the cracks. Through email, social media, webchat and more, with no employee involvement, an IVA generates interested prospects.

And here’s the best part: AI is able to learn with every interaction so that it can become more efficient at keeping potential clients engaged and getting prospects through the door.

#2 – Qualify Prospects and Schedule Meetings Quickly With Intelligent Virtual Assistants

When it comes to Sales, there’s nothing worse than a dead end. An Intelligent Virtual Assistant can help speed up the process of making sure prospects are actually qualified with a series of simple questions—the most important of which is “are you interested in speaking with a Salesperson?”. By incorporating these questions seamlessly within a conversation, an Intelligent Virtual Assistant can decide whether or not it’s worth your time to set up an appointment with someone else in the sales department. This would be helpful enough, but AI technology doesn’t just stop there.

By taking the role of a digital assistant, an IVA can schedule prospect meetings on behalf of your sales team. And this is key: Sales reps only spend 36 percent of their time actually selling. The rest of that time goes towards non-sales activities like admin work, scheduling meetings, doing paperwork, and answering emails. An IVA takes this burden away from your team so they can focus on what they do best—sell.

#3 – Intelligent Virtual Assistants Help Present Your Product and Answer Questions

Though your qualified Sales team will still need to maintain a vast amount of knowledge about your products and services, an IVA can help speed up this part of the process exponentially. First of all, an AI Assistant can help keep a consumer engaged with an email or SMS message, eventually encouraging them to download a guide or free eBook that breaks down your service. This way, by the time a prospective client gets to the sales team, they already have a great base of knowledge about the product.

For some companies, the “objections” part of the sales cycle is the longest and the most laborious. Prospective clients want to make sure they’re getting the best solutions for their business or home, and will often generate additional questions about the product during the process. So, what do you do when your client has a question on a weekend? Or late at night?

Without a customer-facing AI solution in place, a simple question can take days to resolve. With AI ready and able to answer questions quickly, the sales cycle can be greatly reduced. This 24/7 availability of an Intelligent Virtual Assistant is one of its greatest perks.

And if you don’t think AI can answer questions effectively, think again. With support, AI effectively answered up to 80 percent of commonly-asked Tier 1 support questions. Similar results are beginning to be seen in Sales, Marketing and Customer Success.

#4 – Closing Deals and Beyond

As digital engagement becomes more and more mainstream with technological advances and changing consumer expectations, an IVA can shorten the sales cycle by allowing your customers to ask crucial questions immediately to make those decisions quicker – and then actually finish the sale online.

However, it’s a mistake to think that the sales cycle ends with a sale. You can leverage an IVA for:

  • Follow-up – By using AI-generated emails or SMS messages, your team can easily get in touch with customers after the deal is closed to ensure that they’re enjoying the product, ask if they have any questions, and further the relationship.
  • Easy referrals – 90 percent of consumers still believe brand recommendations from people they respect. By harnessing an IVA, you can encourage your customers to leave reviews, share their experience on social media, and reach out to friends and family about the product to drive sales.

If you’ve harnessed the power of an Intelligent Virtual Assistant throughout the process, you’ve not only sped up the sales cycle from finding prospects to closing the deal – you’ve also impressed your clients with a streamlined, efficient, and proactive outreach.

#5 – More Available Time for Your Employees Means More Results

When it comes to the power of an Augmented Workforce in which people and AI technologies work in tandem, teams improve day-to-day operations and find time to brainstorm. More employee brainpower and creativity means streamlining processes, improving team culture, and speeding up the sales cycle with ingenuity.

Over 30 percent of business execs say that the time freed up from using digital assistants allows them to focus on deep thinking and creating. If your company is spending too much time with lower-level processes, then it’s going to be incredibly difficult to break free of that cycle and brainstorm new, creative ideas. By using artificial intelligence to take on lower-level tasks, your team won’t just be able to spend more time answering higher-level questions or managing high-level prospects, they can devote more time to thinking of creative solutions to speed up your processes.

And AI’s analytical prowess can show your team exactly where you need to streamline processes. Machine learning capabilities nurture a treasure trove of data about your prospective clients. Who’s clicking on your site? What are the demographics of engagement? What’s working and not working with every step of your process? How do you improve on every level?

An IVA Enhances, Improves and Shortens Every Aspect of Your Sales Cycle

When you consider the way intelligent automation and Intelligent Virtual Assistants impact every stage of the sales cycle, it’s clear how seamlessly it works with your Sales team.

  • By answering easy questions, an Intelligent Virtual Assistant frees up your best Salespeople to focus on the tougher questions.
  • By engaging with people who are just looking for some more information, AI can turn people into prospects – moving them to the next step of the process.
  • By reaching out to old leads via email or SMS, an IVA can re-engage.

Artificial intelligence isn’t about less person-to-person interactions. It’s about increasing the impact of those personalized interactions by managing small details, gathering data, and providing key administrative support.

Learn how you can leverage an Intelligent Virtual Assistant to manageably scale your Sales team without increasing your sales quota by requesting a demo today.