Artificial intelligence isn’t just a buzzword—it’s a game-changer for businesses. AI opens up endless possibilities, from automating everyday tasks to digging deep into data insights.
But how can you leverage artificial intelligence to accelerate business growth and improve operations?
We’ll learn about how AI can help your business run more efficiently and in a smarter way. Let’s look at how the use of AI can transform the way you work!
Artificial intelligence has become synonymous with ChatGPT, Claude, and Generative Intelligence. But AI is more than that, especially in the business space.
Organizations leverage AI to improve data analysis, decision-making, and customer experiences. They also use this technology to improve IT operations, marketing, and sales. As AI technology advances and evolves, new business applications emerge.
According to a [survey by McKinsey, the use of AI for business has doubled since 2017. This is based on the belief that AI can meet most organizational needs. Therefore, companies are already shifting from applying AI to repetitive tasks. They are now using it in bigger projects to enhance corporate value.
Before implementing AI in your business, here’s how to ensure it aligns with your business requirements.
A key step in implementing AI is identifying areas where AI might help. This includes thoroughly reviewing the issues in your processes to see how AI can improve them.
Know what problem you want to solve using AI.
Identify the spheres of activity where the concept of automation can be useful.
Discuss how AI can increase satisfaction and experience on the market.
After outlining your requirements, select the right AI for the task. This may include ML and Natural Language Processing (NLP). It needs to be suitable for the problem you are trying to solve.
Develop a data management concept for your business. AI algorithms require a massive amount of data to function. This should feature in the plan, including how the data collected will be gathered, cleaned, stored, and secured. Remember to put the following in place to ensure your AI gets the data it needs.
A data mining process should be established.
Develop a robust structure of data security and privacy.
Identify the analytics you need and how collected data can be used.
The final step of creating an organisation’s AI strategy is to train the algorithms. They will control and schedule jobs based on the business environment.
The algorithms are fed the record databases to learn from them. This way, they can accurately make the next forecast.
Finally, these algorithms can be fine-tuned and implemented in conventional corporate software. This will boost productivity, improve some activities, and reduce manual input.
The integration process may vary by the IT tech and business type.
Leveraging AI for customer service lets firms scale support while keeping customers happy. Using AI can give agents insights to tailor engagements with clients.
Bots can help businesses spread their services across many channels. These include social media, live chat, email, and messaging. Bots can help service teams manage rising support loads. This is vital when they need to scale quickly, like during the holidays or a product launch.
According to the Zendesk Customer Experience Trends Report 2024, 51%[1] of customers prefer to interact with bots for a quick solution.
Conversational AI lets your digital agents act and speak like humans. This removes the 9-to-5, weekdays-only work hour rule. Several such chatbots assist the agents in delivering improved customer service. These agents quickly handle common queries.
When it comes to training new customer care representatives, AI has a few tricks up its sleeve. AI can act as a virtual assistant. It can give real-time advice to new workers during customer service training.
For example, AI can change the tone of its responses to be more pleasant or official. It can also show similar support tickets. This lets agents see how other teammates responded to the same question.
AI solutions boost agent efficiency by streamlining workflows. AI chatbots handle requests, and automation solves repetitive tasks. These solutions reduce agents' workloads so that they can then focus on higher-value tasks.
AI powers the routing features to evaluate incoming chats to understand client sentiment, language, and intent. This helps in reducing complaints and support tickets.
AI can predict clients' needs and trends along with spotting future issues. By analysing parameters like order history, behaviours, and preferences, AI helps you deliver personalised solutions and boost customer loyalty.
Also, the AI assigns a basic emoji to show the overall feeling. It ranges from negative to highly positive. This gives the agent a quick visual cue to prepare for the encounter.
Making informed judgements quickly and correctly is critical to sustaining a competitive advantage. Here’s how to leverage artificial intelligence in decision-making to help companies make better choices.
For example, they can see things humans may not detect or notice. It shows how much this capacity helps businesses make sound decisions. AI can also predict market trends and customer behaviour better than humans.
They imply that AI could process data far superior to human capabilities. It allows for instant decisions and quick analysis of business conditions. It is particularly useful in sectors such as finance and buying.
For example, AI makes trade decisions on shares in milliseconds. It was noted that they are more efficient than human traders and bring more profits.
It is clear that AI systems handle large datasets better than humans. This scalability is vital for growing firms that plan to expand into new markets. AI enhances decision-making because it presupposes regular decisions. This growth plan may help firms enter new markets faster than traditional methods.
Emotional bias simply does not apply to AI decision-making in the same manner as it does to humans. These criteria promote objectivity. They prevent decisions based on personal favourites, for instance.
This constancy is particularly important in legal obligations channels and regulatory non-compliance.
AI can be used to discover and reduce possible dangers and risks. That’s where the AI system's ability to spot patterns in enormous historical data to see dangers like fraud or supply chain issues comes in. By knowing and then managing risks early, firms can avoid costly mistakes. They can even use these risks to boost their competitiveness.
It can perform endless simulations and predict what will happen. This allows decision-makers to experiment with strategies and make low-risk decisions.
AI is no longer a far-fetched idea. It is a powerful tool that businesses, irrespective of size, can leverage artificial intelligence to drive growth. AI is a defining feature reaching all sections of society and business.
As a growth and service-based company, we’ll help you pinpoint areas where AI can boost your operations and develop solutions that suit your business needs.
To succeed today, you need to understand how using artificial intelligence correctly can improve your business. At GrowthJockey, we guide you through setting up AI for your business to improve efficiency and output.
There are countless ways for your business to start making money using AI. You can offer AI-based services and expertise such as:
Since it can analyse data, automate processes, and improve decision-making, AI helps businesses in diverse industries. You can use AI in finance, customer service, sales, supply chain, logistics, and legal industries.
AI provides better customer service since it takes less time to address customers' needs. For instance, chatbots can answer queries or solve problems instantly. AI can also recommend similar products that the customer may like.
AI is not limited to big enterprises. Small firms can also profit from employing low-cost AI solutions to automate, analyse market trends, and improve decision-making with data-driven insights.
First, we must find suitable places for AI tools, like customer support and marketing. Next, selecting the AI tools that will complement the company already has is important. AI can usually work within current software systems, so there is no disruption.