Why Conversational AI Bots Will Act as the Newest Members in Team Chat Tools

Spike Team
By Spike Team, January 21, 2024, 11 min read
Conversational AI Bots

In the span of a year, artificial intelligence at work has gone from a “buzzword” among futurists to a trend that has seen almost every enterprise application start to incorporate it into an AI language model functionally. It shows how technology is often, like Ernest Hemingway said in ‘A Farewell to Arms’, Gradually then Suddenly. This is just the beginning, though. We predict that in the coming years, companies will have AI bots integrated into their team chat tools that are so responsive that they’ll perform almost as well as employees when it comes to asking questions, finding data, suggesting subsequent actions, etc. As AI evolves and becomes more human-like in its ability to respond, we will see a new era of conversational AI at work.

 

 

What are Conversational AI Bots, and How Will They Impact the Workplace?

Conversational AI bots, also known as chatbots or virtual assistants, are computer programs designed to simulate human-like conversations with users through text or speech. These bots use artificial intelligence (AI) and natural language processing (NLP) algorithms to understand and respond to user queries, providing information, assistance, or performing tasks without the need for human intervention.

 

The impact of Conversational AI bots on the workplace is substantial and multifaceted. While this is just an initial list, let’s discuss some ways you’ll interact with them at work, as there will eventually be hundreds of, if not thousands, of examples of conversational AI bots in your work environment. These conversational AI bots will be so responsive and human-like in their messages – that you’ll think they’re real employees behind a screen.

 

Virtual Onboarding Assistant

Remember that era when new employees had to dedicate an entire week to being enveloped in paperwork and orientation videos? These times are dwindling. Thanks to interactive AI conversational bots, green employees can now indulge in a more personalized, welcoming experience. These supportive programs can effortlessly guide them through corporate guidelines, assist with setting up their software infrastructure, and even introduce them to other group peers, all through text-based exchanges.

 

 

Data Retrieval and Analysis

We’ve all been in meetings where someone asks for specific data, and the room goes silent as everyone scrambles to find the information that should have been pulled already. Conversational AI bots can eliminate this awkward pause and lack of preparation. Simply ask the bot to pull up last quarter’s sales figures or customer feedback, and you’ll have your data in seconds, presented in an easily digestible format. Everyone wins!

 

 

Meeting Scheduling and Follow-ups 

Coordinating schedules can be a logistical nightmare, especially in large teams or with external partners. AI bots can handle this seamlessly, finding common free slots and even sending out calendar invites. Post-meeting, these bots can distribute minutes and set reminders for action items, ensuring that nothing falls through the cracks.

 

Real-time Translation and Global Collaboration

In an increasingly global economy, language barriers can hinder collaboration and communication. Conversational AI bots can offer real-time translation services, allowing team members from different linguistic backgrounds to communicate effortlessly. It’s like having a multilingual translator who’s always on call.

 

Analyzing Past Marketing Campaigns

Forget sifting through spreadsheets and analytics dashboards as a marketing professional. Conversational AI bots can analyze past marketing campaigns, pull relevant metrics, and even predict the success of future campaigns based on historical data. You’ll spend more time creating and less time pulling data.

 

 

IT Support and Help Desk

Dealing with IT issues can be time-consuming and costly. AI bots can handle common IT support queries, guide users through troubleshooting steps, and even escalate issues to human support when necessary. Does a user need to reset a MFA code? There’s no reason a conversational AI bot couldn’t handle that.

 

Automated Payroll and Employee Data Management

As requisitions for payroll changes or employee data updates come in, AI bots can make these adjustments automatically, ensuring that employee records are always up-to-date and reducing the workload on HR departments.

 

These use cases are just some examples of the ways that conversational AI bots may exist within our team chat tools in the future. As the workplace adjusts to the evolving world with technology advancements in AI, these highly advanced chatbot tools can transcend the perception of being a  utility to become irreplaceable virtual colleagues – fundamentally reshaping our viewpoint of the workplace.

 

 

From the Dewey Decimal System to LLM Conversational AI Bots

 

If you remember life before the internet, you’ll remember the days of scouring through library card catalogs using the Dewey Decimal System. If you don’t remember it, just think of it as a printed-out Google Search. You’d painstakingly search for a book, write down its location, and then navigate through aisles of shelves to find your book.

 

But let’s not stop at libraries (yes, we need more of them). Remember the bulky encyclopedias that used to occupy prime real estate on our bookshelves? Those have been replaced by Wikipedia and other online resources, accessible at the click of a button from anywhere in the world from a $50 Android phone. The transition is similar to how Large Language Models (LLM) have moved from research papers to real-world applications being used daily, fundamentally altering the landscape of information access and how data-driven tasks can be done – particularly at work.

 

This move is not solely for convenience; it’s also about effectiveness and precision with tasks that machines can manage better and quicker than humans. Humans have certain talents, but as technology advances, we’ve accepted to assign responsibilities that software can handle more efficiently. It’s not about substituting human abilities; it’s about enhancing them. Similar to AI assistants becoming essential in team chat platforms, digital databases and search engines have become our primary sources of information retrieval.

 

And this is just the start. Moving forward, we’ll increasingly see more tasks being delegated to software systems, especially as AI and reliability continue its progress. The division between human capabilities and software applications is not just getting fuzzy; it’s being redrawn altogether. We’re stepping into a phase where software doesn’t merely support us; it collaborates with us, and this makes us ponder over what roles are best suited for humans and what tasks can be tackled more efficiently by our digital counterparts.

 

 

How Remote Work Paves the Way for Conversational AI Collaboration

LLM Bots

 

Previously, being physically present in the office was often seen as equivalent to being productive. The idea of spending the standard nine-to-five hours seated at a desk prevailed. However, things have taken a dramatic turn with the advent of remote work. It’s no longer about how long one stays seated; it’s more about what one can produce. The emphasis has shifted towards output becoming the new standard, and physical office spaces have transitioned into digital workspaces.

 

The move to remote and hybrid work setups has made us more comfortable with text-based communication channels. Casual conversations around water coolers are now replaced with quick Slack messages, while boardroom meetings switch to Zoom calls. We’ve become skilled at expressing emotion, intent, and even our tone through mediums like text, emojis, or GIFs. In other words, all this digital prep is paving the way for the future – conversational AI bots.

 

Considering our growing ease with digital communication methods, it’s not surprising that AI bots find places in team chats as well. If we can communicate effectively with colleagues across time zones using just text, why not involve some AI assistance? These bots, fueled by advanced language models, can understand context, provide instant information, and make suggestions on the next steps, proving them invaluable team members in today’s digital-centric era.

 

 

Slack Apps and Zapier Automations Were Just the Beginning

If you have been involved in the business technology landscape, you’ll recall how Slack applications and Zapier automation ushered in a wave of excitement. These tools transformed how we do things by simplifying our work processes and bringing automation to mundane tasks. However, let’s not be mistaken; these were just the beginning of what’s on the horizon.

 

Imagine a world where Large Language Models (LLMs) can be securely integrated into your corporate ecosystem. We are not referring to mere chatbots that provide answers to frequently asked questions; we’re talking about cutting-edge AI models with deep comprehension of your company’s entire history. Think about it – every past conversation, plan, or strategy – imagine having access to an intelligent digital entity that functions like another pair of founders who know your company inside out.

 

The potential for transformative change is enormous here. This conversational AI bot will serve as more than just data searches; it will serve as a decision-making ally. Need to retrieve details on a past marketing strategy that resulted in a substantial ROI? A conversational AI bot can swiftly bring it up for you. Curious about the background behind a previous product failure? An AI bot can offer insights you might have overlooked before in a way that feels human.

 

 

The Human Element: Something Conversational AI can’t match

With the rise of conversational AI bots in professional and work environment settings, it’s crucial to remember their limitations. Despite how much these bots can do, from surfacing information to handling emergencies, some aspects require human skills that cannot be replaced. Let’s explore a few of these worries.

 

 

The Emotional Gap: LLMs and Human Emotion

An unmistakable drawback of LLMs and AI bots is their incapability to grasp human emotion. Indeed, they are good at dissecting text and generating responses rooted in algorithms and data, but they struggle when it comes to understanding the emotional subtleties that frequently propel human choices – particularly around campaigns that are designed around pulling particular emotions from someone. People do not merely acquire products; rather they procure experiences, narratives, and bonds. And this is an aspect that falls beyond the small scope of an AI bot. Conversational AI bots will be a huge part of the workplace – but humans are still a company’s best asset.

 

 

People Buy from People

In our digital age, the old saying of “people buying from people” still stands strong and remains true even in a world full of apps. Conversational AI bots might efficiently handle data-driven business operations with high intellect levels but fail to build trust and create bonds. Unlike automated bots, humans can empathize with customers’ unique circumstances and each other while keeping shared experiences in mind. AI bots cannot recreate human emotion – plain and simple.

 

In the US version of “The Office,” Robert California (the CEO) had this fantastic quote:

 

“Take a look at where you are. Where you once worked in a dying industry, you now work at its birth. Those superstores are terrified of us. Anybody know why?”

 

Phyllis Lapin-Vance, sales representative at Dunder Mifflin:

 

“They’re terrified?”

 

Robert California:

 

“Let me tell you how I buy something these days. I know what I want, I go on the Internet, and I get the best price. Or, I don’t know what I want, and I go to a small store that can help me. The era of personal service is back. You are back. You’ll find that customers will pay our higher prices and then they will thank us. And we will say to them, you are welcome.”

 

 

This quote applies to dealing with customers but also working internally with coworkers. Conversational AI bots will dramatically impact the workplace. Use AI where it makes sense but not everywhere, and don’t forget the human element of work.

 

 

The Role of AI: Automation, Not Replacement

Given these constraints, it is evident that conversational bots driven by artificial intelligence ought to be seen as tools for automation rather than a substitute for human-operated divisions. Conversational AI bots can manage tedious tasks, sort through data, and offer assistance in decision-making processes up to a certain level. On the other hand, activities demanding emotional comprehension, ethical considerations, or intricate relationship-building abilities remain within the purview of humans.

 

Additionally, as we add and integrate conversational AI bots into our applications at work, finding a happy medium is important. Conversational AI-driven bots can be important “team players” as they automate operational tasks and instantly surface relevant information; however, they cannot fill the void created by humans with emotional intelligence. It would be wise for us to redefine productivity parameters in this new age without disregarding vital human elements essential for turning workplaces into truly exceptional spaces and delivering value for customers.

 

 

The Final Word on Conversational AI Bots

We’re stepping into uncharted territory and on the brink of ushering in a fresh epoch – as some futurists think we’re entering the fourth turning. Conversational AI bots and Large Language Models no longer hang out as futuristic ideas to wonder “when”; they have made their grand entrance and have already begun to make an impact. From automating routine tasks such as fetching data and organizing meetings to more complex duties like crisis management and marketing strategy analysis, AI is getting ready to become an indispensable part of our work setup, but it won’t take over.

 

While AI bots can handle numerous tasks, they need help grasping human emotions or building interpersonal relationships. Be it marketing tactics that resonate with human sentiments or policy amendments that consider the emotional well-being of employees – The human touch is vital here! People buy from people, not codes written by algorithms! Hence, integrating AI into our workspace should always be viewed as an automation tool rather than replacing human-manned departments.

 

So what do we make of all this? It all boils down to striking the right balance. As we continue adapting to these new work models & technologies, we must ensure that AI bots become not just handy tools but valuable teammates, too! Tasks that involve repetitive actions, consume time, or require instant data retrieval can easily be handled by them. But when matters call for emotional intelligence, ethical concerns, or complex relationship-building skills – humans are irreplaceable!

 

To sum up, the future of work isn’t a matter of choosing between conversational AI bots and humans – it’s about working together! As we redefine productivity in this new age, it’s time to embrace the transformative potential of AI while cherishing the uniqueness that humans bring to the table. Let’s remember technology is meant to enhance our skills, not replace them. As we march forward, let’s not just use AI for better business but also utilize it to build a better, more humane workplace for all parties involved.

Spike Team
Spike Team The Spike team posts about productivity, time management, and the future of email, messaging and collaboration.

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