Let’s be honest: most of the conversation about AI so far has been about saving.
Saving time, saving cost, saving people from routine tasks. That matters – but it’s only half the story. The real question for any ambitious business leader is: how can AI help us make more money?
This is the next phase of AI adoption. It’s where leaders stop seeing AI as a back-office tool and start viewing it as a strategic driver of value. When done right, AI doesn’t just cut costs. It unlocks capacity, helps businesses grow faster and strengthens confidence among investors, shareholders and staff alike.
According to Gartner, 91% of Boards of Directors believe AI will be a key contributor to shareholder value. They might sound like an optimistic bunch, but they’re not wrong. The challenge isn’t whether AI can generate returns – it’s how to make those returns show up on your balance sheet.
And my own personal experience with AI is proof that AI can add value, a lot of value to be precise. In the space of 12 months Alcea’s revenue doubled, and our processes became more efficient as we optimised them, so our costs reduced, and we saved time across the team.
How quickly can AI deliver results?
Business leaders often ask us, “When will we actually see the impact of AI?”
The good news is usually sooner than you think (if the work has been strategically planned and assessed based on key business requirements and measures).
- Research from McKinsey’s State of AI report found that companies using AI in marketing and sales saw revenue increases of 3–15% and sales ROI improvements of 10–20% within the first year.
- In operations, PwC estimates that AI-driven process optimisation can cut costs by up to 25% and increase productivity by as much as 40%.
- And a Microsoft Work Trend Index (2024) showed that 85% of business leaders said AI helped teams make faster, more confident decisions.
At Alcea, we’ve seen those numbers play out in practice. One professional services client used AI to improve project planning and proposal writing. Within six weeks, they were completing 20% more work without any extra headcount. The technology didn’t replace anyone. It made the business more profitable, more efficient and more attractive to clients.
Strategy first, tools second
When AI works, it’s because it’s led by strategy – not by shiny tools.
Too often, businesses jump into AI piecemeal: departments and functions investigating, testing and trialling without any clear business case or wider strategic understanding of the business’s needs. The outcome? Limited ROI, wasted time, wasted money and no clear success story to tell the bank.
The companies that see strong returns are the ones that link AI directly to their business goals: revenue, growth, innovation, customer experience. In short, they know why they’re doing it and what success looks like. By taking time (and I’m talking hours here, not months) to really consider business strategy and goals and where AI could make the biggest difference, returns are much more straightforward to predict.
Building the business case: six questions every Board should ask
If you’re making the business case for AI, these six questions will help frame your thinking:
- What are your business goals for the next three years?
Knowing your wider strategic goals will help you focus on the biggest wins, not on shiny tools that can be distracting and costly. - Where will AI create value fastest?
Focus on the areas where time or resource savings can be redirected into growth. - How will it strengthen our revenue streams?
Look for opportunities to scale existing services, reach new markets or enhance customer experience. - What’s the measurable return on investment?
Be specific. Define metrics such as time saved, sales uplift or increased client retention. - How will it enhance stakeholder confidence?
Transparent, ethical and well-managed AI adoption builds trust with investors, staff and customers alike. - Can this success be repeated?
A good AI pilot creates a blueprint. Replicating results across teams is how ROI compounds.
When these six questions are answered clearly, AI becomes less about risk and more about opportunity. It moves from “nice to have” to a proven revenue driver.
Why the opportunity belongs to SMEs
Across the UK, medium-sized businesses have the agility to make AI work faster than large corporates weighed down by bureaucracy. More than half of medium-sized businesses already see AI as a long-term strategic goal, yet many still hesitate because of uncertainty around costs or readiness.
But here’s the truth that we see day in day out: hesitation costs more. The businesses that move now will build new capabilities, attract talent and future-proof their operations long before AI becomes standard practice.
Make money, save money, improve your business’s bottom line
AI doesn’t just help businesses save money – it helps them make it.
It frees up people to focus on what truly matters: creating value, driving innovation and delivering for customers. It’s time we stop thinking of AI as a technical investment and start seeing it as a strategic one.
So, here’s my question to you: where could AI deliver the most growth in your business this financial year?
If you’re not sure, take our UK SME AI Readiness Check-up – a free, three-minute survey that benchmarks where your business stands and helps you plan next steps.
The real risk isn’t being behind on AI. It’s missing the strategic opportunity to get ahead.
