AI is the hot-button topic for this year, as many companies integrate its utilities into their processes, tentatively following other companies that put their best foot forward last year. Platforms like OpenAI with their ChatGPT system now allow you to integrate your custom bots for unique use with your firm, curating a worthwhile output that may optimize your business approach.
That being said, while AI is proving to be an interesting and promising value proposition, it’s not a magic bullet. To integrate it well, you still need to take a cohesive view and consider every consequence of incorporating that into your schedule.
So, the question remains – how will AI optimize my workflow in 2024? How will these new norms be distributed throughout my team, moreover, in the long run, how can I ensure this new integration hasn’t solely been relegated to a gimmick that requires more management time than it deserves?
In this post, we’ll discuss several methods used by businesses integrating AI for the first time and will discuss how this could impact your own brand over time:
Utilizing AI-Predictive Analytics To Anticipate Workflow Peaks
AI can be a great analytics tool because it’s able to analyze and notice trends in the data and metrics your business runs from. For example – AI could tell you when most orders are processed throughout the year, and when you may need to bring more staff on for that. This could, theoretically, help you avoid those crunch periods near the end of the year when you have sales on or when companies refresh their orders for the year.
This can also be effective for storefronts or hospitality businesses, where learning trends in how many customers are liable to come can help them prepare inventory and prevent understaffing during vital times. For example, if January tends to be your slow month, but for whatever reason the final week of the month is busier than most of February, AI can tell you that and suggest preparations.
Industry-Specific AI Utilities
It’s easy to see AI as a large, all-encompassing tool that curates everything, but that’s not necessarily how it works. Many forward-thinking innovators in each corporate space are rushing to develop the most complex, handy, and industry-assistive tools for companies from top to bottom.
For example, construction AI utilities that help you spend less time on invoice summaries, polish job reports, curate customer-facing documents, capture asset nameplates and more can make both your manager’s and tradies’ lives so much easier to handle, especially if you have technicians that visit multiple job sites per day.
Deploying Chatbots For Instantaneous Task Assistance
We tend to think of AI chatbots as solely relegated to the front-facing website tools used for customer support. They might pop up after spending three minutes on a web page asking us if we need help, or we may be greeted with one when looking to contact customer support, so they can better direct the request to the FAQ section or a live agent.
But that’s not all chatbots are for. You might have them integrated into your company-wide software suites. If working on a project, a chatbot might send a request to the concerned individuals in your department for a meeting later on in the week. Chatbots can refer to staff policy where available to remind workers of their exacting language, or simply set up and draw a table for better data entry within a collaborative note.
We can expect chatbots to deliver customized and streamlined task assistance, from formatting performance review documents to automatically structuring an out-of-office email response for you when necessary. All of this can save time, and provide ample growth opportunities.
Personalizing To-Do Lists With AI-Based Prioritization
Having a to-do list or schedule in place is very rewarding and helpful. Putting one together in the first place can be more than frustrating. For this reason, it can be thoroughly helpful to have AI help you curate your working priorities that day. From offering empty time-block slots for you to integrate certain essential tasks, or re-ranking your priorities based on their deadline date, having this function generated perfectly for your needs can be helpful.
This way, you may even save thirty minutes at the end of your workday that you would usually spend planning the next day. You can also set up alerts to remind yourself of certain appointments that might fluctuate when you book an appointment, such as reminding you to schedule a staff performance meeting once a month with your new hire.
For now, content writers and copywriters are still essential if you hope to give that personalized human-focused perspective. In some respects, this is liable to remain until AI becomes so polished that both sides are indistinguishable from one another.
But it’s also true that AI content can be perfectly reasonable for some essential basics. Outlining the content of a blog post you’re writing for your page, putting together a customer guide, answering frequently asked questions (and then editing with your specific context), all of this can help streamline your output while also routinely offering value to those who need it.
AI-driven content can also work internally, such as helping you put together a simple guide to the offer including where the utilities are, staff kitchen conduct, and more. This is how AI will be best used this year – with all the little tasks we have to work on as opposed to rewriting our entire flow. Accrue those time savings over the year, and you may be surprised just how well they turn out in the long run.
To conclude, it’s clear that AI is going to upend multiple industries throughout the rest of this decade. How that proceeds is anyone’s guess. But as of the moment, we can expect iterative, integrative additions to our workflow processes, spearheaded by multiple industries trying to redefine what their productivity means in a brand new world.
While adorning AI for the sake of it is never a good idea, 2024 could be the year you test, experiment, and cement it into your process for good.