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Artificial Intelligence Basics For Novice Business Users

Sept. 16, 2025

From analyzing spread sheet data in seconds to creating high-quality presentations in minutes, artificial intelligence (AI) is transforming how businesses operate. For many professionals, the concept still feels abstract or intimidating. This article breaks down AI fundamentals in plain terms, explores how it's being used in work and life, and offers tips for getting better results from AI tools.

Whether you're a small business owner, a team leader, or just curious about the technology, this guide will help you understand what AI can (and can't) do, and how to use it more safely and effectively. As you consider adopting AI tools in your office, consider 78% of companies worldwide use AI in at least one business function yet only 1% of companies describe their AI adoption as "mature," according to Hostinger. This means even if you're a late adopter, there's plenty of time to cautiously and purposefully begin using AI without feeling left behind.

AI Misconceptions

  • AI is all-knowing: It has limitations and can make errors, especially with recent or niche information
  • AI eliminates jobs: It typically augments human work by handling routine tasks, freeing people for creative and strategic activities
  • AI is instant expertise: It requires proper implementation, oversight, and human verification
  • AI is only for tech companies: Businesses of all sizes across industries are finding practical applications

What Is AI, Really?

At its core, AI refers to computer systems that can perform tasks typically requiring human intelligence. This includes learning from data, recognizing patterns, making decisions, and generating human-like content. Most AI tools we use today are "narrow AI," which means they're designed to excel at specific tasks rather than having general intelligence.

AI in Your Daily Business Operations

AI is already embedded in tools you use daily, often without realizing it:

  • Communication: Drafting emails, summarizing lengthy documents, and transcribing meeting notes
  • Customer service: Powering chatbots, routing inquiries, and generating personalized responses
  • Marketing: Creating content, analyzing consumer behavior, and coding HTML for websites
  • Financial operations: Detecting unusual transactions, forecasting cash flow, and streamlining expense reporting
  • Productivity: Scheduling meetings, prioritizing tasks, and automating routine workflows

Getting Better Results from AI

AI is only as good as the instructions you give it. That's where "prompt engineering" comes in, the art of crafting effective AI instructions. Effective prompts are clear, specific, and goal-oriented.

Experiment with these prompts to see how AI can support various business functions:

  1. Sales outreach: "Write a follow-up email to a potential client who attended our webinar but hasn't responded to initial contact. They work in health care administration and expressed interest in workflow automation."
  2. Market research: "Create 15 survey questions to understand why customers choose our competitors' products over ours. Focus on price sensitivity, feature preferences, and customer service expectations."
  3. Employee development: "Design a 30-day skill-building plan for a junior account manager who needs to improve their project management capabilities while maintaining current responsibilities."
  4. Social media: "Generate 10 LinkedIn post ideas that position our accounting firm as a thought leader without directly selling our services. Include potential hashtags for each post."
  5. Customer retention: "Create a framework for identifying at-risk clients based on engagement patterns, with specific intervention strategies for each risk level."
  6. Meeting facilitation: "Develop a workshop structure to help our leadership team identify our company's core values, including activities, discussion questions, and methods for reaching consensus."
  7. Presentation preparation: "Outline a 15-minute investor pitch for our startup that addresses market opportunity, our unique solution, business model, and growth strategy."
  8. Process documentation: "Create a template for documenting our internal procedures that is comprehensive enough for training but concise enough for quick reference."
  9. Crisis planning: "List potential business disruptions for a retail business, with initial response steps for each scenario."
  10. Vendor evaluation: "Develop a scoring rubric for assessing potential inventory management software solutions, including weighted criteria for features, support, cost, and integration capabilities."

Techniques to improve AI output quality:

  • Show the AI what good results look like
  • Include relevant background information about your business or audience
  • Specify word count, tone, format, or other parameters
  • Request step-by-step thinking for complex problems
  • Instruct the AI to ask you three questions before answering

Business Considerations When Adopting AI

Before implementing AI tools, consider these factors:

  • Data privacy: Ensure sensitive business or customer information isn't shared with public (free) AI tools
  • Quality control: Establish processes to verify AI-generated content before external use
  • Training needs: Prepare your team to use AI tools effectively and responsibly
  • Integration: Choose tools that work with your existing systems and workflows
  • ROI measurement: Define clear metrics to evaluate AI return on investment
  • Compliance: Publish an AI Usage Policy for all staff to acknowledge

Many AI tools now offer subscriptions starting around $30 per user per month. Note the only type of AI tool that doesn't learn from your data is a paid AI tool. When an AI agent learns from you, that means your information is public and could be discovered by others via their prompts.

Getting Started with AI

  1. Identify pain points
  2. Set clear goals
  3. Start small
  4. Select appropriate tools
  5. Train your team
  6. Implement guidelines
  7. Measure results

Pitfalls to Avoid

  • Unrealistic expectations: AI isn't magic—it has specific capabilities and limitations
  • Overlooking human oversight: Always have review and question AI-generated content
  • Starting too big: Focus on solving specific problems rather than complete transformations
  • Neglecting team adoption: Ensure employees understand the value and proper use of new tools
  • Ignoring data quality: AI outputs reflect the quality of inputs and training

Business AI Tools to Explore

  • Content creation: ChatGPT, Jasper, Claude, Copy.ai, GrammarlyGO, Predis.ai
  • Meeting productivity: Otter.ai, Fireflies.ai, Microsoft Copilot, Fathom, tl;dv, Zoom AI Companion, MeetGeek
  • Customer service: Intercom, Zendesk Answer Bot, Ada, Forethought, Drift, Freshdesk Freddy AI, HubSpot Service Hub AI
  • Data analysis: Obviously AI, Akkio, Tableau with Einstein, MonkeyLearn, Power BI with Copilot, Polymer AI, BigQuery ML
  • Project management: Asana with Work Assistant, ClickUp Brain, Motion, Notion AI, Trello with Butler, Monday.com AI Assistant
  • Design and visuals: Canva Magic Design, Adobe Firefly, DALL·E, Runway ML, Figma AI
  • Coding and development: GitHub Copilot, Replit Ghostwriter, Amazon CodeWhisperer, Tabnine, Div-idy
  • Cybersecurity: Darktrace, CrowdStrike Falcon with AI, Microsoft Security Copilot, SentinelOne Purple AI, Palo Alto Cortex XSIAM

Try AI Yourself

Here are five example prompts to test in your favorite AI tool:

  1. Content creation: "Draft three different email subject lines for a workshop on business productivity tools. The audience is small business owners with limited technical expertise."
  2. Customer service: "Create a decision tree for our support team to handle common customer complaints about shipping delays."
  3. Process improvement: "List 10 questions to ask employees when evaluating our current onboarding process for inefficiencies."
  4. Meeting productivity: "Generate an agenda template for a 30-minute weekly team check-in that maximizes engagement and minimizes wasted time."
  5. Strategy development: "Outline a SWOT analysis framework specific to a small marketing agency considering expanding into video production services."

Cybersecurity Risk Assessment

Do you know if your company is secure against cyber threats? Do you have the right security policies, tools, and practices in place to protect your data, reputation, and productivity? If you're not sure, it's time for a cybersecurity risk assessment (CSRA). STACK Cyber's CSRA will meticulously identify and evaluate vulnerabilities and risks within your IT environment. We'll assess your network, systems, applications, and devices, and provide you a detailed report and action plan to improve your security posture. Don't wait until it's too late.

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