As AI becomes increasingly embedded in business tools and daily operations, SMEs are faced with a growing list of acronyms and options. From platform-native AI features in your favourite apps to ambitious talk of AGI (Artificial General Intelligence), the AI ecosystem can seem both promising and perplexing.
In this quick-read blog, we’ll break down the four most commonly misunderstood types of AI technologies: platform-native AI, general AI, AGI, and in-house tools built with APIs to LLMs (Large Language Models)—and what they mean for your business.
1. Platform-Native AI: The Convenient Default
What it is:
These are AI features embedded inside existing software platforms like Microsoft 365 Copilot, Google Workspace, Salesforce Einstein, or Shopify Magic. You don’t have to set anything up—these tools are already baked into the system you’re paying for.
Examples:
- Auto-summarising emails in Outlook
- Predictive typing in Gmail
- AI-powered product descriptions in Shopify
Pros:
- No setup or technical expertise required
- Seamless integration
- Included in your existing licence (sometimes with an add-on fee)
Cons:
- Limited to the platform’s capabilities
- No control over how the AI behaves or is trained
- Potentially shares your data with the platform provider
Best for SMEs who:
Want instant productivity boosts without technical investment.
2. General AI: The Customisable Swiss Army Knife
What it is:
General AI refers to publicly available large language models (LLMs) and tools like OpenAI’s ChatGPT, Google’s Gemini, or Anthropic’s Claude. These models can handle a wide variety of tasks across domains, and are not tied to any specific platform.
Examples:
- ChatGPT answering customer queries
- Claude helping draft legal text
- Gemini summarising competitor news
Pros:
- Versatile and constantly updated
- Access via web or mobile app
- Often plug-and-play with minimal effort
Cons:
- Not always secure or compliant for business use
- Risk of employees using them without oversight
- Generic outputs unless fine-tuned or prompted well
Best for SMEs who:
Need on-demand support, ideation, or content creation—but aren’t ready for customisation.
3. AGI (Artificial General Intelligence): Theoretical, Not Practical (Yet)
What it is:
AGI refers to a future form of AI that can perform any intellectual task a human can, across all domains, without specific training. Think sci-fi level intelligence, capable of reasoning, empathy, and creativity like a human being.
Examples:
- As of today, there are none. AGI doesn’t exist yet.
- OpenAI, DeepMind, and others are working toward it.
Pros:
- If realised, AGI could revolutionise everything from medicine to engineering to education.
Cons:
- It’s still experimental, and not commercially available
- Raises significant ethical, safety, and control questions
- Not relevant to operational SME decisions in 2025
Best for SMEs who:
Want to stay informed, but shouldn’t base strategies on it just yet.
4. In-House API-Based Tools: Custom AI with Strategic Control
What it is:
These are bespoke tools your company builds using APIs from AI providers like OpenAI, Anthropic, or Cohere. You’re not using someone else’s front-end; you’re integrating AI directly into your systems—ERP, CRM, intranet, data pipelines.
Examples:
- A customer service tool that uses OpenAI API to generate draft responses but adds internal tone-of-voice logic
- An internal chatbot trained on your company’s documentation and SOPs
- A predictive model for sales forecasting, plugged into your CRM and analytics platform
Pros:
- Highly customisable
- Better control over data and compliance
- Builds intellectual property and long-term efficiency
Cons:
- Requires technical skill or consultancy support
- Initial build costs more than off-the-shelf options
- Ongoing maintenance and governance needed
Best for SMEs who:
Are ready to scale with AI and want a competitive edge that isn’t shared with the rest of the market.
Final Thoughts: Which One Should You Choose?
It’s not about choosing one over the others—it’s about choosing the right tool for the right task.
- Use platform-native AI for instant wins and convenience.
- Use general AI tools when you need flexibility without deep integration.
- Ignore AGI (for now), but stay aware of its trajectory.
- Invest in API-based in-house tools when you want lasting competitive differentiation.
At Strategic AI Consultancy, we help SMEs bridge the gap between what’s available and what’s possible. Whether you’re exploring quick productivity gains or ready to build custom AI workflows, our team can help you move safely and strategically.