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How small businesses can benefit from AI

By Danny Wong

minute read

     

    Canada is at the forefront of artificial intelligence (AI) innovation, investment, and application. According to a 2023 report by Deloitte (PDF), venture capital firms invested $8.64 billion CAD in Canadian AI companies, and there are a total of 670 AI startups in the country. Additionally, 42 percent of surveyed companies said they were piloting AI programs with increasing interest.

    Organizations turn to AI for accuracy, comprehensive answers, cost savings, and time savings. To stay competitive, small and medium businesses (SMBs) are turning to AI as well. This article explores the basics of AI, how to find opportunities to use it, different ways SMBs currently leverage it, and common concerns SMBs have about this emerging technology.

     

    Infographic illustrating The 5 key steps of AI

     

    AI can be broken down into five critical steps:

    1. Data collection
      Collect data either internally, licensed from third parties, or from open-source databases
    2. Information processing
      Analyze the information to uncover patterns and inconsistencies
    3. Algorithm development
      Apply machine learning to develop the algorithm and models
    4. Information output
      Summarize answers to address prompts
    5. Feedback and optimization
      Integrate feedback to train the AI for improved outputs

     

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    AI basics

    AI is made up of five key components:

    1. Data collection
      AI models, which are programs that apply algorithms (or automated instructions) to data, gather data, which may be publicly available, proprietarily owned, or licensed.
    2. Information processing
      AI models analyze the data they’re given to find patterns, relationships, and anomalies.
    3. Algorithm development
      At this stage, AI applies machine learning — a subset of AI where computers learn to perform a task without being programmed to do so — to its algorithms. AI models develop smarter ways of processing and analyzing information, which helps them make their conclusions more quickly and accurately. The biggest limitation is the quality and quantity of the data provided to AI tools.
    4. Information output
      After each prompt (the questions or guidelines used to interact with an AI tool), AI provides answers or predictions.
    5. Feedback and optimization
      People can tailor their prompts to further refine the outputs. For instance, you can ask AI to use an empathetic tone or provide 10 options for a specific question. Providing more data or clarity can help the AI model generate responses that better suit individual needs in the future.

    While a lot goes into making AI outputs successful, it’s important to remember that AI tools are in their infancy. As AI evolves, it will become an increasingly useful asset for SMBs. Of course, you can maximize an AI solution’s potential by feeding it the right information — perhaps with the help of a prompt optimization service — and applying it to targeted problem-solving.

     

    Infographic illustrating How AI can benefit your small business

     

    • AI can help automate repetitive tasks
    • AI can save employee time
    • AI can provide instant answers to questions for better and faster decision-making
    • AI can help fill information gaps
    • AI can improve quality control

     

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    How to find opportunities to use AI

    Effective use of AI requires a problem, useful data inputs, a specific prompt, actionable insight, and a feedback loop. Many SMBs wonder about the types of problems AI can solve and how they apply AI tools for their organizations. Below are five questions you can explore to determine different ways to implement AI tools at your company.

     

    1. Where are tasks repetitive?

    AI can streamline your processes and workflows by completing structured, repetitive tasks for your business.

    Common examples include data entry, generating and analyzing reports, bookkeeping, and even email replies. There are a variety of AI applications for small business that can receive specific instructions and integrate with your analytics dashboards, accounting software, and email accounts to complete repetitive tasks at scheduled intervals or whenever the AI models receive new information.

     

    2. Where can you free up employee time?

    In addition to handling repetitive tasks, AI can also take care of some time-consuming activities. From self-service chatbots to dynamic appointment scheduling, AI solutions can minimize human intervention and save your team hours of effort each week.

     

    3. Where do you need answers quickly?

    Sifting through data can feel like finding a needle in a haystack. While advanced spreadsheet formulas could help, they require technical knowledge and troubleshooting. Instead, you can use AI to pull answers out of vast amounts of data.

    Finding specific information from a database or report can be completed easily and instantly with the right AI solutions. AI can save time and reduce the risk of human error — like, for example, in the case of inventory management. With AI, businesses can manage inventory in real time, predicting demand and reducing the likelihood of stockouts and overstocks.

     

    4. Which circumstances require comprehensive answers?

    Companies love to leverage AI to streamline workflows, save employees time, and analyze loads of data. AI for small business also works well when you need to fill in information gaps.

    For instance, your employees may struggle to list all the components that go into a particular project or process. Trained AI models can instantly produce a comprehensive checklist. Team members may forget specific instructions or requirements for activities like posting on social media, editing existing posts, or uploading content to a common content management system. Even publicly available AI tools can generate a clear, step-by-step guide.

     

    5. What are typical quality control scenarios?

    Are your quality control processes manual or labour intensive? There are a number of ways you can integrate AI and improve quality assurance. For instance, you can build AI into your production line, fulfilment processes, inventory management systems, and real-time monitoring tools to offer alerts and notifications when issues arise.

     

    How small businesses are using AI

    Across Canada, SMBs in a wide variety of industries use AI in easy, creative, and sometimes sophisticated ways to improve their business intelligence, customer experience, cybersecurity, data handling, and supply chain operations.

    A few common examples include:

    • Analytics
      AI can analyze customer behaviours, financial performance, marketing data, resource utilization, sales trends, and more. Then, it can highlight areas of success and provide actionable insight on areas that need improvement.
    • Content ideation
      AI can be a great starting point when it comes to content creation. AI tools can offer content inspiration in the form of alternate headlines, topic ideas, suggested hashtags and emojis, and more to bolster marketing efforts.
    • Customer service and sales
      Companies often use AI to power chatbots and email automation, offering customers and prospects helpful responses to guide them along the sales process.
    • Cybersecurity
      AI can help with preventative and reactive solutions for cybersecurity. AI tools look for vulnerabilities in your data management and storage, communications tools, and website security. AI tools can also patch up any potential cybersecurity issues when they arise.
    • Data entry
      AI scans the web, your private database, or a select data upload to summarize, categorize, and label the data in a manner that is useful for your business purposes. AI tools take a good chunk of the manual labour out of the process. You can ask AI to tackle a variety of information — from spreadsheets to text documents and even audio files.
    • Inventory management
      Between demand forecasting, dynamic pricing, just-in-time ordering, shelf-life management, stock-level management, and warehouse optimization, AI can help with a wide variety of inventory-management tasks.

     

    Infographic illustrating 4 AI concerns debunked

     

    • It’s expensive
      • Enterprises spend a lot of money licensing AI tools, which can be cost prohibitive for SMBs.
      • At the same time, SMBs can try dozens of free AI solutions for a wide spectrum of needs.
    • It’s complicated
      • Some AI platforms need custom integrations or specialized programming.
      • Other platforms offer no-code solutions, and companies can offer education programs to get employees up to speed.
    • It’s a security risk
      • Many AI tools plug into company databases and systems, which can cause a security vulnerability.
      • Though security isn’t guaranteed, you can minimize your risk by allowing only limited access to company systems or using third-party data instead.
    • It’s irrelevant
      • Some businesses may think AI won’t work for their organization.
      • Beyond the many AI use cases companies already employ, new ones continue to emerge.

     

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    Small business concerns about AI

    SMBs may feel hesitant to adopt AI due to the following concerns:

    1. It’s expensive
      While the potential cost of certain AI solutions may feel like a barrier, many tools are free and offer a variety of use cases. Other AI tools are available with per-use pricing or a monthly or annual licence fee. The costs vary widely depending on business needs and the provider, but you can still benefit from free solutions as you begin to integrate AI into your operations.
    2. It’s complicated
      Advanced use cases may require custom integrations with company data or third parties. With that said, you can still use AI for different data sets and tasks that integrate quickly or require no technical integrations at all.
    3. It’s a security risk
      Certain AI tools need access to proprietary data and systems. This level of access can lead to new attack vectors and vulnerabilities. Though security isn’t guaranteed — even with a paid service — you can minimize your risk by giving AI platforms limited access to private data or by using public or third-party data services only.
    4. It’s irrelevant
      Some people dismiss the benefits of AI. A few quick demos might not be enough to convince business owners to use AI tools regularly. Take the time to investigate your options and learn how you could best onboard and use them.

    While the concerns above are valid, you can find free or cost-effective AI solutions that are easy to use, integrate, and create safeguards for. No matter the industry or company size, small business owners can find AI use cases that create a net benefit for their customer experience, organization, and workflows.

     

    Moving forward with AI

    Companies across Canada are increasingly turning to AI. SMBs can leverage AI to enhance business processes, increase operational efficiency, and stay competitive. While concerns may arise before teams decide to employ AI tools for small businesses, you can overcome those objections and reiterate the potential of AI implementation. One way is to try free AI solutions which open the door for more discovery and discussion around expanding AI usage within your organization.