Forget the Hype. Here’s How AI Is Actually Changing How Business is Run

Businesses are using artificial intelligence (AI) across many aspects of their operations, having gone from applying it as a tool for task efficiency and customer interaction enhancement to exploiting its possibilities for redefining and reshaping how they operate and make decisions.

The impact is far-reaching and transformative as we move from task automation to sophisticated decision intelligence.

Streamlining operations with AI, shifting your focus

Tools such as ChatGPT, Claude and Gemini enable businesses to gain speed-to-market when launching a new product or service. You can use these tools to conduct customer research, generate marketing content aligned with consumer needs, test the market and launch in a shorter time span. AI-powered finance tools allow businesses to optimize their spend planning and create tighter budgets.

While we see the benefit of using these tools to streamline tasks, something of more significance is also happening. Businesses are now rethinking their hiring strategies.

You don’t necessarily need a large team of specialists to carry out these tasks. Instead, as an owner (or part of the C-suite at larger firms), you can hire an individual who can handle multiple roles while you and your product development team focus on the next great offering and your customer service zooms in on engagement, satisfaction and brand advocacy.

For example, let’s say a financial advisory firm wants to launch a new service that helps clients plan for healthcare costs in retirement. Using ChatGPT or Gemini, the firm can quickly analyze client questions, industry research and demographic trends to better understand what concerns retirees most and then draft emails, educational materials and webinar content that resonate and provide solutions. AI-powered financial planning software can model different retirement healthcare scenarios and help the firm estimate how clients might allocate savings or adjust budgets. Advisors and leadership can focus their time on building client relationships, delivering tailored financial guidance and growing their firm.

Using AI beyond just task automation

As AI moves from just helping with automating tasks, businesses are using it to analyze information for better decision-making. AI agents, for example, serve as digital assistants, helping professionals complete complex tasks such as financial data review, IT problem diagnosis

or workflow management. These systems support human decision-making by quickly analyzing large volumes of data, highlighting key insights and suggesting possible actions that enable leaders and employees to make more informed decisions.

AR and VR

New technologies like augmented reality (AR), virtual reality (VR) and extended reality (XR) are creating immersive digital environments in which AI can digest operations in real time and provide guidance. Employees might use these tools to visualize equipment performance, simulate scenarios or receive step-by-step assistance.

For example, before a construction project begins, engineers use VR to walk through a digital version of the building. AI analyzes the design and flags potential problems, such as structural conflicts, safety risks or workflow bottlenecks, to mitigate risk and avert additional expenditures, which makes the project more profitable.

In a warehouse, workers use AR headsets that highlight the fastest route to pick items. AI tracks inventory, predicts demand and directs workers to the next task, improving efficiency and reducing errors.

XR allows people to learn in simulated environments that replicate real-life situations so construction workers can train on equipment or safety scenarios without real-world risk.

Big data for business strategy development

Businesses can collect a lot of data about consumers through social media, cookies and customer surveys, providing insights into their behavior. Big data enables you to find patterns across each of these and other data sets. Larger companies are looking at these large patterns and predicting what else a customer wants or needs. Amazon is a perfect example of this. You buy a particular book or home product, and you get a list of recommendations you may be interested in, which personalizes and enhances the experience.

Smaller companies can do the same. For example, insurance agents who write liability insurance for contractors also know that these clients need workers’ comp and coverage for their tools and equipment. Using their CRM system, agents can flag these patterns and automatically send a follow-up email or message about related coverages. Just as Amazon recommends products based on what a customer buys, insurance agents use existing client data to anticipate additional needs and offer relevant coverage options, thereby expanding their books of business.

Start-ups for less

Operational and marketing costs are lower with AI, while employee productivity is higher, significantly reducing the cost of starting a business. Depending on the type of business, if software development is required, no-code or low-code AI tools for building applications can reduce the need to hire an expensive team.

All this means less capital is needed and fewer hires are initially required. There is more opportunity for entrepreneurs to go after their passions and launch and sustain profitable businesses. It also opens the possibility for smaller firms to compete more effectively with larger companies.

The road is wide open for how businesses can operate and grow with AI when used properly and effectively. The important thing is to figure out what your objectives are and how these tools can help you get there.