The world has entered a new, digital era where even household matters are managed by technology (including virtual chatbots). So, what can be said about businesses and their internal processes?

The end of 2022 completely revolutionized the perception of technology. The emergence of LLM ChatGPT in the public domain almost instantly shifted the focus of IT development to AI, AGI, ML, DL, Cloud, and their derivatives. It is not only ordinary users of digital systems who have become interested in this.

Did you know that the generative AI market was valued at over $43.87 billion by the end of 2023? Fortune Business Insights predicts that the industry will be worth $967.65 billion by 2032.

Impressive, isn’t it?  What’s even more striking is the boom in investments in this segment, particularly from leading tech providers (IBM, Microsoft, Google, Apple, Nvidia, Adobe, Amazon) and representatives of entirely different types of businesses.

Even a seemingly ordinary chatbot with AI transforms into a powerful system capable of accelerating, automating, and overall improving companies’ operational capabilities. Read on to find out how.

According to Precedence Research experts, by 2032, the value of the conversational AI market (which includes smart chatbots as well) will reach $86.42 billion. Let’s assume that this surge in development (given that the industry was valued at $12.5 billion in 2023) is driven by the potential of generative AI in automating business processes (even in the form of a chatbot for small businesses). 

Indeed, even five years ago, chatbots were limited to only partial interactivity. Nowadays, systems of this class can do so much more than communicate — they generate documents, quickly conduct complex calculations, and make forecasts based on historical and current data.

While we see examples of typical bots daily in various online stores, corporate solutions are hidden from the view of average users. However, they are the foundation of modern business.

Moving from the theory of “What if…” to direct practice, as countless ideas already exist in one form or another, including those utilized by AdvantISS (more on that later). It’s hard to say whether a “new” concept will be more effective than existing ones, but that’s no reason to abandon its implementation.

Look at 9 ideas generated by our team managers specifically for this material. We’re always ready to implement any of them if you’re interested.

Platforms for Accounting

Dealing with numbers can be exhausting, so why not hand it over to the digital hands of AI? That’s right, chatbots for enterprises integrated with accounting infrastructure can handle all the routine tasks. For example, calculating current balances, expenses, and profits, or generating reports as needed.

Although seemingly simple functionality, it greatly eases the burden on staff.

Production Control Systems

Conveyor lines that manufacture and label product groups still require human oversight. However, with the capabilities of generative AI, there’s a chance to make all operations more autonomous. For instance, issuing prompts to the bot through a complex system and infrastructure of an industrial enterprise.

Another chatbot for business use is for self-assessment of product quality, quantity, and type, and inputting all data into the company’s operational system in real-time.

Bots for Audience Communication

A classic type, communicative bots integrated into mobile apps and commercial websites. However, in practice, such solutions can be applied, for example, for underwriting insurance cases, interactive user profiling, marketing, and other business needs.

This is an effective model of AI chatbots that reduces staff engagement, specifically in communicative tasks, and frees up resources for other areas of the brand’s activities.

Automatic Handling of Inbound Requests

Who said a chatbot should only work with text? A significant number of solutions are already used in call centers, communication chains of banking institutions, insurance companies, or commercial platforms. So, although this part of business ideas in artificial intelligence isn’t new, you can use it to improve your business’s efficiency.

You can also combine this concept with others listed in the material to further optimize the company’s operational processes.

Tools for Analytics and Planning

Manually collecting arrays of information, processing them, and formatting them into infographics, tables, or other types of statistical visualization can be quite costly. However, with the appropriate chatbot and data sources, the process can be significantly accelerated to the extent that the system autonomously generates reports, forecasts, and more.

Efficiency and convenience are guaranteed, as is the likelihood of results, if you engage quality sources of information and create detailed and optimized algorithms.

Automated Personnel Management

With the increase in staff, it can be difficult to manage personnel single-handedly, and hiring additional managers can be expensive. This is where a chatbot with AI comes in handy. With its help, you can generate roles, tasks, and areas of responsibility for each employee simply by adding profiles to the bot’s Data Lake.

Using the same principle, you can organize tracking of KPI metrics for each specialist and calculate their salary, bonuses, and incentives.

Identification Systems

You can integrate bots into on-premise physical objects, too. For example, with AI solutions, you can add a facial recognition system at the entrance to each room and implement keyless access to rooms, departments, and so on.

You can also use an interactive chatbot to organize access to the company’s digital resources, internal materials, systems, products, and admin panels.

Payment Bots

Automated systems that process transactions are a reality you can get inspired from to speed up settlement processes with partners and clients. You just need to train the bot and provide it with the correct details so that it can autonomously generate and send invoices to the appropriate individuals, process payments, and enter relevant data into systems.

By the way, you can integrate such a solution with other infrastructure components and build an almost autonomous operational base for the business.

Tools for Organizing Work Processes

It’s simple: a bot can generate work schedules for the company and its staff, automatically assign vacations and days off, and calculate overtime or shortage of working hours. With such an infrastructure element, you will no longer need to spend time and resources planning work processes in the company.

Bonus: An Example of an Artificial Intelligence Chatbot Project for Optimizing Document Flow from AdvantISS

Recently, we released our specialized system based on AI, which optimizes document flow in the client’s company. The bot collects information from employees, formats templates, generates reports and documents, and monitors data compliance. It points out errors and suggests methods for correcting them.

As a result, time spent on paperwork has been reduced by 60%, and errors have decreased by 80%.

Chatbots have ceased to be just entertainment and something that stands out from the usual framework. With the advent and integration of generative AI into them, their potential has multiplied, and the systems themselves have already been tightly integrated into businesses’ digital infrastructure.

AI-powered chatbots are capable of performing a wide range of tasks, from simple communication to complex calculations and report generation.

Therefore, if you want to increase your company’s productivity, reduce staff workload, or speed up internal and external processes, a self-learning chatbot may be the solution to give your business a boost.