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Understanding AI in your business

Think of AI as your next team hire. Not a single tool, but a set of intelligent workers you can deploy across your organisation. Each one brings graduate-level knowledge, can learn from feedback, and works with the tools you already use. This page will show you how to:

Learn the building blocks

Understand what makes AI systems work

Meet your new hires

Discover the three roles AI can play

Know the frontier

See which models power modern AI

Track the trajectory

Understand how fast AI is improving
You don’t need to become a technical expert. Focus on understanding what AI can do and where it fits in your work.

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The six building blocks of AI

Every AI system you use, whether it is ChatGPT, Copilot, Claude, or Gemini, is built from the same core components. Understanding these helps you get better results.

Model

The AI’s education level. Think of it as hiring a graduate versus a PhD. Stronger models reason more deeply but cost more to run.Graduate level: GPT-4o, Claude Sonnet, Gemini ProPhD level: GPT-5 Thinking, Claude Opus, Gemini Ultra

Context

The experience and documents you provide. AI only knows what you give it in the conversation, plus any files you attach.More context means better, more relevant answers.

Tools

What the AI can connect to. This includes internet search, reading from your CRM, writing to databases, or browsing the web.Tools extend what AI can do beyond just conversation.

Modalities

The AI’s senses. Modern AI can read and write text, speak and hear audio, and see and create images.Each modality opens new use cases for your work.

Learning

How the AI improves. When you give feedback using thumbs up or thumbs down, some systems learn your preferences over time.Your feedback shapes better future responses.

Guardrails

Safety boundaries built into every AI. These prevent harmful outputs like bioweapon instructions or illegal content.Guardrails keep AI safe for business use.
When AI gives you a poor result, ask yourself: Did I give it enough context? Did I choose the right model? Does it have the tools it needs?

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Meet your three new hires

AI works best when you give it a clear role. Think of these as three types of team members you can deploy for different tasks.
The secret: tell the AI the role, the output format, and the length. That covers most of what you need for good results.

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The frontier models powering AI

Everything you use is built on a small number of foundation models. These are the “brains” that companies like OpenAI, Google, and Anthropic have trained.

ChatGPT (OpenAI)

The most widely used. Strong at conversation, voice mode, and creative tasks. Custom GPTs let you build specialised assistants.

Claude (Anthropic)

Known for thoughtful, nuanced responses. Excels at long documents, analysis, and creating artifacts like code or reports.

Gemini (Google)

Deep integration with Google Workspace. Works directly with Gmail, Drive, and Docs without needing to upload files.

Copilot (Microsoft)

Built into Microsoft 365. The Work tab accesses your company data while keeping everything secure and private.
You don’t need to pick one. Many organisations use different tools for different tasks. The key is knowing which tool fits each job.

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What to expect: The fastest improving technology in history

AI capabilities are advancing faster than any technology we have seen. Understanding this trajectory helps you plan for what is coming, not just what exists today.

2023: The starting point

AI scored around 10% on PhD-level science questions. Useful for simple tasks, but limited reasoning. Most outputs required heavy human editing.

2025: Where we are now

AI now scores 94% on those same questions. That is a 9x improvement in just two years. Complex analysis and reasoning are now routine.

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Expert parity is arriving

Recent benchmarks show AI approaching 50% win rates against human domain experts across multiple fields. This means AI advice is becoming competitive with professional consultants.

What this means

Tasks that once required expensive expertise are becoming accessible to everyone. Research, analysis, and strategic thinking can now be augmented at scale.The gap between having expert advice and not having it is closing.

What it doesn't mean

AI is not replacing human judgment. It is augmenting it. The best results come from humans and AI working together, each contributing what they do best.Expertise in using AI becomes the new competitive advantage.

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Performance varies by sector

AI performs differently across industries. Understanding where your sector sits helps you calibrate expectations.

Highest AI performance

Real Estate and Leasing: Strong pattern matching and market analysis.Manufacturing: Process optimisation and quality control.Professional Services: Research, analysis, and document work.Retail and Wholesale: Customer insights and inventory management.

More cautious adoption

Healthcare: High stakes require extensive validation.Government: Regulatory requirements and public accountability.Finance and Insurance: Compliance obligations shape what is possible.These sectors are improving but move more carefully.
Even in cautious sectors, AI is finding valuable applications. The question is not whether to use AI, but where to start and how to govern it properly.

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What to expect in the next two years

Based on current trajectories, here is what business leaders should prepare for.
Today’s “thinking” models that pause to reason through problems will become the default. AI will tackle increasingly complex, multi-step problems that currently require senior human judgment.Prepare by: Identifying complex analytical tasks that could benefit from deeper AI reasoning.
AI will move beyond answering questions to completing multi-step tasks independently. Book the meeting, research the topic, draft the document, and send it for review, all from a single instruction.Prepare by: Mapping workflows that could run with AI orchestration and human oversight at key checkpoints.
Switching between text, voice, images, and video will become effortless. AI will watch a video and summarise it, look at a whiteboard and turn it into a document, or join a call and take notes automatically.Prepare by: Considering how voice and visual AI could change your customer and employee interactions.
AI will remember context across interactions and tailor every response to the individual. What once required dedicated account managers becomes possible for every customer.Prepare by: Thinking about how personalised experiences could differentiate your offering.
The same capabilities that cost dollars today will cost cents. This makes AI viable for high-volume, low-margin applications that are not economical yet.Prepare by: Identifying use cases you have dismissed as too expensive and revisiting them regularly.
The organisations that benefit most from AI in two years are the ones building capability today. Experimentation now creates advantage later.

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What this means for your team

The practical takeaway is simple: every staff member now has access to three new hires. An Assistant for tasks, a Thinker for decisions, and a Creator for content.

Individual Productivity

Each person can accomplish more. Drafting, research, analysis, and content creation all become faster with AI support.

Team Capacity

Small teams can punch above their weight. AI handles the repetitive work so humans can focus on judgment and relationships.
Start small. Pick one task this week where AI could help. Try the Assistant, Thinker, or Creator approach and see what happens.

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Quick checkpoint (you’re done when…)

Building blocks

You can name the six components of AI systems

Three hires

You know when to use Assistant, Thinker, or Creator

Frontier models

You understand which AI tools fit which tasks

The trajectory

You grasp how quickly AI is improving and what is coming

Ready to practice?

Complete the mini challenges to test your understanding