AI is in the air. It can lower your costs, enhance your customer experience, speed up your response, and increase your revenue. It is no longer for large firms; like many information technologies today, it is more affordable and adaptable for any organisation. While as an entrepreneur, you may not need in-depth knowledge of how algorithms work, you still need to know how to use them and how they can mimic human thinking to give your firm the edge.
The following case study was generated by AI and edited for this article to show how it can impact a small business.
Light Speed Logistics, a 25-person delivery firm, struggled with rising costs and slow customer response times. The owner appointed an “AI champion” to test tools against three bottlenecks: routing, customer queries and reporting. They introduced an AI assistant to auto-draft emails and invoices, a chatbot to handle simple delivery questions and an AI-powered analytics tool to flag late-paying accounts. Within 90 days, customer response times fell by 40 per cent, overtime costs dropped by 15 per cent and the team reclaimed around 10 hours a week from manual paperwork. Staff reported less burnout and more time for complex customer issues and sales.
While I can write a fictitious case, it saves me time and allows me to focus on areas that AI cannot—my lifetime of experiences as an entrepreneurship educator, much of which is not in the public domain, which it cannot find. However, AI can do more than most entrepreneurs think. In fact, in the early days, I was using AI without even knowing it. I was using Grammarly to improve my writing and give it a polished look. Sometime after, I went back to the article and noticed that the software was improving it again. It did not dawn on me that it was learning from millions of users.
Focus on business outcomes, not technology
Do not start anywhere. Think about your goals and build out your strategy. You might be a startup and want technology to help test the validity of your idea. You may have guessed that wealthy, time-poor professionals want help in raising their kids. AI can research how to develop this idea into a business and identify some of the competencies you need.
If you are interested in scaling your business, how do the algorithms show the possibilities? In our AI-generated case, automatically generated emails can explore revenue potential. You might want to reduce expenses, and the Light Speed case demonstrates how to lower overtime costs and reduce paperwork.
Often, you have buying customers, but your share of their purchases is less than it should be. The software can identify similar client types and suggest cross-selling or upselling opportunities your team may have overlooked. Even your customers may not recognise that you have the solution, and you may not either. AI can bridge that gap. For example, I will use my knowledge of family business management to consult with wealthy families on succession and governance. Still, on the flip side, as an insider, I can develop a marketing strategy for financial product sellers. AI can research the current strategies of wealth management firms, craft some suggestions, and launch a new product.
Map your current processes
Look at what you do from beginning to end. In the marketing function, you may be spending too much time on content creation. Let’s say you have email campaigns; you can use AI to generate content to excite your clients about a new product or to shorten the creation process for your LinkedIn newsletter. Remember that you need two hats in content creation: be an author and an editor. They are both important and recognize AI strengths and weaknesses, as well as yours.
Some clients require a long proposal, and your AI, if properly trained, can do a good draft. Some consultants spend a considerable amount of time on this early stage of the process, with a low chance of success. Turing out more well-crafted proposals in a shorter cycle can increase your firm’s top line.
In HR, AI can turn out learning materials for onboarding and job descriptions. It can assist with industry-specific compensation plans. It can also improve your website by incorporating historical and biographical information, as well as a chatbot.
Identify your first AI use
After you have planned out your AI strategy, the stage is execution. This is where many things can go off track. Avoid trying to “do AI everywhere” at once, as it is easy to get overwhelmed, as some shoppers do with extreme choices. Start with a 1-3 high-impact use case.
First, do you have enough data or knowledge to support an activity to make it feasible? My AI is embedded in my software package, so it can analyze my website and suggest improvements. With the right prompts, I can get suggestions for my two newsletters.
Second, try not to overhaul your systems. But start small and learn what the tech can do. You can develop information about a client’s problem that will convince them you have the expertise. Your website can recommend some products or provide more information. Insert a call to action (CTA) with a link to a business development person, and include a thank-you note with more reading. Your back end should indicate whether follow-up occurred.
Third, tie the change to cost savings, revenue or risk reduction. In the Light Speed Logistics case, it can reduce its response time, collect revenues faster, and improve cash flow. By getting on top of their receivables, they can reduce doubtful accounts.
Developing an AI strategy is not about building complex systems but about aligning it with clear, measurable goals that enhance performance. Identify a few areas in which your business can improve and design measurable experiments to test their validity. Finally, when these experiments work, scale them and monitor their performance against your goals with human insight. Remember, it’s your business, and AI is an intelligent machine, so always be in control; you’re the boss, not AI.
Sajjad Hamid is an SME & Family Business Adviser, Fellow of the Family Firm Institute. He can be contacted at entrepreneurtnt@gmail.com
