These days, there’s admittedly a rush to start deploying AI agents, and it’s tempting to want to jump on the bandwagon as well. Everyone seems to be using it, and even data suggests the same.
According to the State of AI in 2025 report by McKinsey & Company, the share of organizations that use AI in at least one function was 88%. This represents a solid 10% increase when compared to 2024. Unsurprisingly, IT, knowledge management, and marketing and sales were the three sectors that used AI agents the most.
However, does that mean your business should also focus on the same areas? Perhaps so, but before you make any decisions, you want to be sure that AI implementation will work in the context of your business. Thus, let us look at a few key areas that might hold the most potential.
Use AI in Places That Cause the Most Time Leakage
If you’re serious about using AI and you’re unsure about where to start, the first thing to do would be a simple business audit or assessment. Essentially, you want to find out what functions in your operations seem to be taking up the most time. This might involve functions that require repetitive work or any sort of drawn-out process, like data collection and organization, which generally takes a lot of time.
For instance, writing blog pieces for your website or structuring and organizing business data are common time sinks, and AI can help a lot here. In the European Union, this is how AI is often used. Data shows that 13.5% of enterprises with 10 or more workers are already using AI in business. In this context, AI was most used for the analysis of written language, generating text or speech, and transcription.
On other occasions, the biggest time leaks can involve logistical requirements like the lengthy process of setting up a website. Here also, as Hocoos explains, AI-assisted template builders can be of massive help. You would answer a few questions about what kind of website you need, and the AI builder does the rest. In this way, you get to knock out those time-consuming yet important tasks quickly.
For instance, writing blog pieces for your website or structuring and organizing business data are common time sinks, and AI can help a lot here. In the European Union, this is how AI is often used. Data shows that 13.5% of enterprises with 10 or more workers are already using AI in business. In this context, AI was most used for the analysis of written language, generating text or speech, and transcription.
On other occasions, the biggest time leaks can involve logistical requirements like the lengthy process of setting up a website. Here also, as Hocoos explains, AI-assisted template builders can be of massive help. You would answer a few questions about what kind of website you need, and the AI builder does the rest. In this way, you get to knock out those time-consuming yet important tasks quickly.
Use AI When It Can Actively Aid in Decision Making
If you’ve successfully used AI to deal with repetitive work, then the next obvious use case is helping with decision clarity. The fact is that every business has to deal with hundreds of decisions that have a significant impact on growth and success.
Today, the process of collecting business data isn’t that difficult. If you have basic systems set up, then everything from customer details, buying trends, and profit/loss figures is automatically logged. Unfortunately, many entrepreneurs lack the energy or dedication to dig them up and make data-driven decisions. This is where AI can be invaluable in crunching said data to help you, as the leader, make better decisions.
There’s no better example of where this would come into play than marketing. It’s an area of business that businesses are often confused by. In fact, decisions related to marketing end up being why consultants get called in on many occasions. Ironically, these consultants are already starting to use AI, so by doing it yourself, you’d be cutting out the middleman.
According to a State of Marketing AI report by Salesloft, featured in a Harvard blog post, 36% of respondents were already using AI in marketing workflow. What’s more, confidence in using AI for such work has increased, as experimentation dropped from 45% in 2023 to 26% in 2024.
In other words, marketers are starting to nail down where AI matters. You, too, should consider doing the same if you feel like you need help with decision-making.
Today, the process of collecting business data isn’t that difficult. If you have basic systems set up, then everything from customer details, buying trends, and profit/loss figures is automatically logged. Unfortunately, many entrepreneurs lack the energy or dedication to dig them up and make data-driven decisions. This is where AI can be invaluable in crunching said data to help you, as the leader, make better decisions.
There’s no better example of where this would come into play than marketing. It’s an area of business that businesses are often confused by. In fact, decisions related to marketing end up being why consultants get called in on many occasions. Ironically, these consultants are already starting to use AI, so by doing it yourself, you’d be cutting out the middleman.
According to a State of Marketing AI report by Salesloft, featured in a Harvard blog post, 36% of respondents were already using AI in marketing workflow. What’s more, confidence in using AI for such work has increased, as experimentation dropped from 45% in 2023 to 26% in 2024.
In other words, marketers are starting to nail down where AI matters. You, too, should consider doing the same if you feel like you need help with decision-making.
Use AI to Tactfully Improve Customer Experience
This is the most obvious area of focus that AI can help your business with. At the end of the day, your customers and clients are your biggest priority. Everything done in a business ultimately revolves around creating satisfied customers who will keep coming back.
That said, there are some caveats because there’s a good deal of AI fatigue in society. Essentially, you want to be extra careful about the kind of exposure your customers have to frustrating or unhelpful AI. For example, chatbots are fine, but try to avoid the mistake of doing away with human representatives completely.
Likewise, if you introduce AI assistant tools with your services, always ensure there’s an alternate, non-AI method to achieve the same goal. This sort of ‘it’s here if you need it’ implementation will make life much easier for customers and is unlikely to trigger any more AI resentment.
Ultimately, as you start the integration process into some of these functions, you will notice what works and what doesn’t. You might end up finding a highly specific use case scenario that only works for your business. That’s perfectly fine, and it’s actually ideal. It’s often these niche scenarios where you wouldn’t bother with hiring a human that are perfect for an AI agent.
That said, there are some caveats because there’s a good deal of AI fatigue in society. Essentially, you want to be extra careful about the kind of exposure your customers have to frustrating or unhelpful AI. For example, chatbots are fine, but try to avoid the mistake of doing away with human representatives completely.
Likewise, if you introduce AI assistant tools with your services, always ensure there’s an alternate, non-AI method to achieve the same goal. This sort of ‘it’s here if you need it’ implementation will make life much easier for customers and is unlikely to trigger any more AI resentment.
Ultimately, as you start the integration process into some of these functions, you will notice what works and what doesn’t. You might end up finding a highly specific use case scenario that only works for your business. That’s perfectly fine, and it’s actually ideal. It’s often these niche scenarios where you wouldn’t bother with hiring a human that are perfect for an AI agent.
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