Let's be honest: is it a tech stack... or just a stack of tech?

There's a famous story from the 1960s space race that perfectly captures the challenge facing financial advice technology today.

Faced with the problem of pens not working in zero gravity, NASA reportedly spent millions developing a pressurised pen that could write in space. They landed with a great new invention - the Anti-Gravity Space Pen.

The Russians faced the same problem but approached it differently... They used a pencil.

The lesson is simple - the most sophisticated solution isn't always the most effective one.

Financial advice technology has evolved in much the same way.

Over the past decade and more, advice firms have invested heavily in technology to deliver a more cost-effective, streamlined and engaging advice experience. During the fintech boom of the 2010s, firms adopted specialist tools to improve different parts of the advice process - CRMs, risk profiling tools, digital fact finds, client portals, cashflow modelling, digital onboarding, document generation, research tools and more.

The COVID-19 pandemic accelerated this digital transformation even further. Almost overnight, advice firms digitalised meetings, signatures, onboarding and communication workflows simply to keep operating.

And now we've entered the artificial intelligence (AI) era - another wave of innovation, another promise of transformation, and in many ways, another technology arms race.

To be clear, much of this investment was absolutely necessary. Advice firms have modernised dramatically, and many of these tools delivered genuine improvements for advisers and clients alike.

And importantly, firms weren't making poor decisions.

In most cases, they were responding rationally to very real pressures:

• increasing regulatory complexity
• rising client expectations
• operational efficiency demands
• and the rapid digitisation of financial services more broadly

The challenge is that technology decisions were often made incrementally over time - solving individual workflow problems without always reviewing the operating model underneath them.

As new challenges emerged, new technologies emerged alongside them.

And what is the result? Did all this technology actually simplify the business?

Despite rising technology spend, advisers are still navigating operational friction, fragmented workflows, duplicated data, manual processing and increasing complexity.

In many cases, what emerged wasn't a deliberately designed tech stack at all - it was a stack of tech that evolved organically over time.

The result is often duplicated administration, disconnected client data, manual workarounds and inconsistent processes. Most importantly, advice firms having to adapt themselves to technology instead of technology supporting the adviser.

And this is where the AI conversation becomes genuinely important.

Right now, advice firms are understandably excited about AI. Adoption is accelerating rapidly across the industry, particularly around meeting notes, file summaries, document production and client engagement.

The opportunity is real.

But AI also has the potential to expose a challenge the industry has been gradually creating over many years. Namely, AI is only as intelligent as the workflow and data beneath it.

Applied on top of fragmented systems and inconsistent workflow design, AI risks becoming just another disconnected layer of technology.

Applied intentionally, however, AI has the potential to fundamentally improve the advice experience.

This is where many leading firms are beginning to think differently.

Importantly, many firms are now moving toward more integrated and consolidated advice platforms rather than continuing to add standalone tools.

That shift matters because the future of AI in advice will not be built on disconnected applications.

It will be built on trusted platforms.

Platforms that provide:

• a single source of truth for client data
• integrated workflow engines across the advice process
• and intelligent orchestration layered across those workflows

At its best, AI should not feel like another separate piece of software advisers need to manage.

It should feel embedded into the workflow itself - reducing noise rather than creating more of it. It should surface insight, identify opportunities, automate repetitive tasks and help advisers focus more deeply on strategic client relationships.

One of the most practical examples emerging today is meeting intelligence.

Client meetings contain enormous amounts of valuable information, yet historically much of that insight has remained trapped in handwritten notes, memory or unstructured records. Advisers then spend significant time manually documenting conversations, updating CRMs and identifying follow-up actions.

Integrated AI can now capture meeting transcripts from Teams or Zoom conversations, generate structured and compliant meeting notes, identify potential advice opportunities, surface next best actions and convert relevant information into structured CRM data automatically.

The real opportunity here is not simply faster administration.

It's workflow intelligence.

It's the ability to move advisers out of manual processing and data entry, and into insight, strategy and client engagement.

And that may ultimately become the defining difference between firms that simply adopt AI and firms that truly benefit from it.

The next generation of advice businesses won't win by adding the most technology. They'll win by building the most intelligent and intentional workflows, because the future of advice technology isn't another arms race. It's thoughtful, integrated workflow design.

So perhaps the question advice firms should now ask themselves isn't How do we race towards the age of AI but perhaps:

Are we building a genuine tech stack...or just adding to the stack of tech?