Okay, let’s get this out of the way first. I love data. Yes, I am an unashamed data geek. Some of my favourite business truisms are about data:
“You can’t manage what you can’t measure.”
“Without data, you’re just another person with an opinion.”
Like everyone else, I’ve also watched the rise (and rise…) of AI. These days it feels like every CEO must mention AI or they’ll soon have a different job. Whether they know what it actually means is another story.
What I want to do here is provide some practical context, grounded in data, around what AI may or may not actually do for a financial advice business.
Because without context, all we’re really doing is trying to keep up with the Joneses. Or, in modern terms, keeping up with the “perfect” lives we see on social media… or so they say.
Why AI Without Data Is Just Noise
Let’s be direct, most conversations about AI in financial advice are missing the point. AI is not a strategy, it’s not a shortcut to growth and on its own, it isn’t a competitive advantage.
Without data (clean, structured, accurate data), AI is little more than expensive guesswork. And yet, across the industry, we’re seeing firms rush to adopt AI tools before they’ve answered a fundamental question: do we actually understand how our business works?
The Real Capacity Constraint You Can’t See
Before we go too far, let’s agree on one thing. We are are talking about providing valuable advice that clients need, want and critically, are prepared to pay for.
For decades, one data point has barely moved: the average adviser conducts 5.7 client-facing meetings per week.
This suggests that, despite new tools, the underlying operating model of advice businesses hasn’t meaningfully changed.
The Invisible Ceiling on Growth
Many firms believe they have a growth problem. In reality, they have a capacity problem they haven’t yet measured.
Service agreements lock in review meetings, client events, communication commitments etc.
When you map these obligations against actual adviser availability, factoring in; holidays, sick leave, public holidays, PD days, conferences, training, and non-client work – suddenly, your available client facing capacity becomes very real, and perhaps somewhat more limited than you first thought.
Should the adviser be writing file notes?
Preparing the SOA brief? Building the SOA, and checking every detail before it goes out? Or could that be handled by support staff… or, AI?
And here’s what the data consistently shows:
Even if you take ONLY the number of promised reviews, this number is often very close to and sometimes exceeds – the number of available appointments.
You may already be operating at or beyond capacity
That means:
- No room for new clients
- Increased pressure on service delivery
- Declining client experience over time
And yet, without data, this remains invisible. So firms respond the only way they can – by pushing harder. Taking more meetings. Adding complexity. Stretching teams.
This is not a growth strategy. It’s slow erosion.
Two Levers
- Available client appointments
- Services promised to clients
Everything else including pricing, segmentation, hiring and technology is a derivative of these two variables.
You can:
- Increase capacity by freeing up adviser’s time or recruiting more advisers
- Or, adjust the service offers
The role of data is to make these trade-offs clear and measurable.
What about new clients?
Let’s bring the data back in. Let’s say on average it takes three meetings to convert a prospect into a client, and at least one meeting to figure out they’re not a good fit for you.
So every new client (or non-client) consumes scarce capacity. Which raises another uncomfortable truth. Not all prospects are worth your time.
If you have limited appointment slots, you need to make them count.
Where AI Actually Fits
This is where good businesses separate themselves and where smart investment in people, processes and technology matters.
Some metrics to consider and benchmark yourself against:
- Support staff per adviser
- Clients per support staff
The adviser’s primary role is to see clients, prospects or referral sources/centres of influence. If they’re doing anything else (outside development or strategy), something is off. Everything else should be done by someone else. Or something else!
AI does not create capacity on its own, it only amplifies the system it sits within. If your processes are unclear and inefficient: AI will replicate that inefficiency, faster.
When deployed into a well-defined, data-driven operating model, AI becomes powerful – not because it replaces advisers – but because it reshapes how work gets done.
The opportunity is straightforward:
- Automate low-value, repeatable tasks
- Standardise workflows and decision points
- Improve speed and consistency of execution
- Free advisers to focus on clients, strategy and growth
The Data Advantage
At its core, data does three things:
- Reveals truth
It shows how your business actually operates, not how you think it operates. - Enables decisions
It turns abstract strategy into measurable trade-offs. - Unlocks AI
It provides the structure and consistency AI depends on to deliver value.
Without data:
- You are guessing at capacity
- You are guessing at profitability
- Any AI adoption is speculative at best
With data:
- You can design your business intentionally
- Optimise continuously
- And scale sustainably
Final Thoughts: Stop Chasing Tools. Start Building Systems.
The most profitable firms will not be the ones that adopt AI first. They will be the ones that:
- Understand their numbers
- Design their operating model deliberately
- Invest in people and processes
- And use AI as an enabler – not a distraction
Because ultimately:
- Capacity enables growth
- Process creates capacity
- Data drives process
- And AI scales it
Making decisions in a vacuum is one of the biggest risks any business can take. If you need help with your data… you know where to find us. We have compiled the preeminent benchmarking dataset available in the Australian advice community.
Understanding your key metrics, and how you compare to your peers, can fundamentally change the quality of your strategy and decision-making – and your potential for profit.
And that’s where good data makes all the difference.
Tony Stephens, Business Health.