Complete guide to AI for businesses
AI: the double-edged sword
AI is everywhere, chatbots, email, code, reports. Some companies fire staff to replace them with AI. Here's the thing:
Unless you're Jeff Bezos or running a business with advanced digital infrastructure, this strategy will likely do you more harm than good.
Common mistakes: treating AI as a universal solution. Not every task benefits from it.
Any artificial intelligence should be evaluated based on the real value it can provide and the specific results you expect to see.
When applied badly, AI produces errors and hallucinations. Problems compound. Costs balloon.
What is artificial intelligence?
Algorithms trained on vast amounts of data. Most are generalists or fine-tuned versions of third-party pre-trained models.
How it works: you provide context → AI analyses patterns → it generates a response. Three steps:
- Context analysis.
- Pattern matching.
- Response generation.
It relies on mathematical models and neural networks that mimic the human brain. It follows statistical patterns; it doesn't "understand" like a person does.
AI has no inherent ability to create something from nothing. It has no inventiveness, no cunning, no capacity to imagine scenarios that weren't in its training data.
Types of AI
- Narrow or specific: discrete tasks. Siri, Alexa.
- General: reasons like a human. Still theoretical.
- Fine-tuned: adjusted with extra data for specific tasks.
- Predictive: analyses large data volumes to forecast sales, detect fraud.
- RPA (Robotic Process Automation): repeating rule-based tasks.
How to use AI in your business
- Customer support with chatbots and virtual assistants.
- Data analysis and decision-making.
- Automation of repetitive tasks (RPA).
- Personalisation of the customer experience.
- Optimisation of marketing campaigns.
- Fraud detection and security.
Each section in the full post includes a practical example.
Text generation tools
OpenAI: the pioneer
- Playground (
platform.openai.com/playground/chat) - control over tone, length, "temperature" (creativity). - ChatGPT (
chatgpt.com) - quick responses, straightforward content. Always check for artificial-sounding language. - OpenAI API - advanced customisation and automation, requires coding.
Microsoft Copilot
copilot.microsoft.com - built into Word/Excel/PowerPoint/Outlook.
- Word: drafting, summarising, editing.
- Excel: formulas, analysis, charts.
- PowerPoint: presentations from notes.
- Outlook: drafting, summarising threads, prioritising.
Limitations: human review is essential; critical formulas need verification; presentations require visual refinement.
Google Gemini
gemini.google.com - multipurpose AI (text, images, analysis) integrated with Google Workspace.
- Content generation, images and charts.
- Data analysis and pattern recognition.
- Real-time assistant in Docs/Sheets/Slides.
Limitations: locked into Google's ecosystem, data privacy concerns, review required.
Claude from Anthropic
claude.ai - ethical approach and contextual understanding.
- Long, coherent conversations.
- Writing and ideation.
- Thoughtful, careful responses.
- Adaptable to business policies.
Advantages: consistency in dialogue, security, suited to regulated sectors (finance, healthcare, education). Limitations: higher cost, doesn't generate images, human review needed for complex topics.
Free vs paid AI
- Free: for getting started, basic work. ChatGPT free tier.
- Paid: for control, memory, customisation. GPT-4, Copilot Pro.
Paid AI is worth the investment if you genuinely need advanced support or want to streamline specific workflows in your business.
What you should never do
- Don't upload sensitive data. Tools (especially free ones) train on your inputs.
- Don't automate without checking. Never let AI send directly to clients without review.
- Don't forget the limits. It's no substitute for human judgment. Verify everything.
Next steps
The next article covers generative AI for images and video.
Take it slow. AI is amazing, but learn to walk before you run.
Sample prompt for natural emails:
Act as a business consultant and write a short, direct, professional email to a client who has shown interest in our [Service Name]. Use a friendly, accessible tone, avoiding stiff phrases like "I hope this finds you well" or anything that sounds unnatural. Briefly describe the main benefits of the service, emphasising how it can help the client improve [relevant area]. Skip jargon. Keep it simple. Include a warm invitation for the client to get in touch with any questions or to book a call.
Detected WP categories (with URL)
/category/estrategia-empresarial//category/inteligencia-artificial/
Relevant external links
- platform.openai.com/playground/chat
- chatgpt.com
- copilot.microsoft.com
- gemini.google.com
- claude.ai
CTAs
- Inline form + policy checkbox
- "Book my session"
- WhatsApp me
