The Rise of AI in Business:
Turning Potential into Performance

Artificial Intelligence (AI) isn’t new. But what is new is its accessibility — and the speed at which it’s advancing. For decades, AI was the domain of scientists, researchers, and tech companies, especially the larger companies. Today, it’s powering everyday tools inside almost every business, from small tradies to global enterprises.

For me, AI is not about replacing people or making automated decisions for us. It’s about removing friction, unlocking insights previously hidden in complexity, and strengthening our ability to make better decisions — faster and more confidently.

At 1Centre, we believe AI is here to augment or boost human intelligence, not override it. Decisions remain in human hands when it comes to user experience, risk profiling, anti-fraud exposure and more – now, however, we can be informed by real-time data, explained insights, immediacy in Q&A’s 24/7, instant visibility – the list goes on.

The Evolution of AI: From Concept to Everyday Business Essential

1950s–1980s | Rules-based logic + early neural networks.

• This refers to the first-generation logic which most of us know as ‘if… then’ logic – still used today. For example, ‘if’ the DOB falls within this range, ‘then’ it can pass.
• Neural networks refer to the earliest attempts to make AI behave like the Human brain.

1990s–2000s | Automation + web-scale data processing

• Automation refers to using computers to perform repetitive tasks automatically, like sorting emails or documents, or automatically processing transactions
• Web scale refers to the emergence of the Internet and cloud computing – think Google. I can still remember the days when Google wasn’t a thing.

2010s | Deep learning + cloud computing accelerates progress.

• Deep learning is where things start becoming interesting. Above, I referred to basic neural networks; well, Deep learning is a more advanced version of this with layers –think facial recognition or language translation to name a few.
• We all know the term ‘cloud computing’, put simply it allows you and me to essentially rent computing power on demand, enabling us to store and access our data from anywhere in the world, and the list goes on.

2020–2023 | AI becomes mainstream — speech, images, predictive engines

• As capability has evolved, it’s allowed AI to become mainstream so you and I can access it at very little cost, which is super cool in my books. I think about Siri or Alexa; my 11-year-old uses voice-to-text to speed up whatever it is she’s doing. We could all list the tools we use daily that have now become mainstream.

2024+ | Generative AI + Explainable AI reshape business operations.

• We’ve all been exposed to this major shift. Generative AI in business has transformed a lot of repetitive tasks, in particular, by using Gen AI Agents. At 1Centre, we have an Agent, whose name is Poppy. She can understand customer requests, reason with customers, take action and create new content if required. She’s available 24/7, and if she can’t assist, she’ll reach out to one of the team to help.
• Explainable AI focuses on transparency. So why did the AI recommend this? Or what data influenced this? For us at 1Centre is ensures every risk insight or identity verification can be understood and trusted.

To provide additional context, using AI is not a set-and-forget software. It’s constant, continuous, and essentially does not have an end date. For example, we’ve been iterating 1Centre Anti-fraud for the last 5years since its inception – if we didn’t, we’d already be behind, exposing our customers to the ever-evolving risks in play when transacting online, diminishing the user experience and not keeping up to date with the latest tech.

AI has shifted from:

AI Adoption: Businesses Are Moving from Curiosity to Core Strategy

Once considered experimental, AI is now a strategic business imperative. And if that sounds crazy… check the numbers. Talk to your peer group. Talk to your board. Talk to your competitors. The shift is already happening — at speed.

AI is reshaping how organisations operate, profit, and serve customers. And the companies lagging behind aren’t ignoring AI because they disagree with its direction necessarily — they’re ignoring it because:

1. They can’t keep up
2. They don’t know where to start
3. They believe ‘this too shall pass’
4. The belief that it’s up to someone else to deal with
5. or AI doesn’t impact me

Do you remember not that long ago when any request involving technology was sent straight to the IT team? The CEO or CFO approved it, IT delivered it — maybe 6-12 months later, depending on business priorities.

Those days are gone.

AI is breaking out of its old silo. It
is no longer a technology function — it’s

• A capability function;
• A growth function;
• A risk management function;
• A customer experience function.

We’re now seeing AI embedded directly into the operations of businesses, in particular the repetitive and/or resource-intensive tasks that now technology can do at the click of a button:

This shift matters. Because organisations winning today aren’t just experimenting with AI — they are operationalising it. The adoption story isn’t about if anymore — it’s about where, how quickly, and
with what strategic advantage.

It’s no longer a technology transformation. It’s a business transformation.

And the businesses embracing it today are building the competitive moat everyone else will be forced to climb tomorrow.

Where AI Creates the Most Immediate Value

Businesses are already using AI to:

This is the world 1Centre is building in and for — where trade moves more efficiently because intelligence is embedded into every interaction.

What’s Coming Next: The Future of AI in Business

Over the next 3–5 years, we will see some major shifts:

Real-Time Decisioning Intelligence

Businesses will move beyond dashboards or static reports to continuous data insight — regulated, explainable, and proactive. Open API’s and access to once inaccessible data enable endless possibilities to go directly to the source of all the data.

Industry-Specific AI Models

Not just general chatbots — but AI built for:

• Trade credit
• Suppy ecosystems
• Finance risk
• Payments and behaviour signals

Autonomous Operations

Not autonomy from humans — but automation to serve us every day. Technology lifts the load; people drive the direction, for example.

AI-Enabled Collaboration

Systems that talk to each other, matching supply and demand dynamically across industries.

Guardrails Become Crucial

The rise of:

• Ethical frameworks
• Data rights and governance
• Transparency standards
• Trust as currency

And that’s why 1Centre focuses so strongly on explainability, privacy, and supplier-owned data — trust can never be automated.

Final Thought

AI won’t replace businesses. But businesses using AI will outperform
those that don’t.

This is not hype — it’s clear and accelerating.

The future of trade belongs to organisations that combine:

• Human judgement
• Data-led intelligence
• Ethical, secure AI design
  

At 1Centre, we are committed to leading that future — building a trade ecosystem where AI doesn’t just streamline operations…It transforms
confidence, resilience, and growth for every business that touches it.