Throughout the week in our In Focus series, we’ll be looking at how financial advice firms are using, and can use, artificial intelligence (AI) in ways that are practical, responsible and commercially valuable. With AI firmly at the centre of industry debate, we’ll hear from a range of experts who will share hands-on insights, real examples and clear guidance on how to introduce AI safely and effectively.
Andrea MacDonald, Partner at Saturn, highlights how AI can remove administrative burden from advice teams while keeping human judgement at the centre. She outlines the need for strong data foundations, careful change management and compliance-led implementation so firms can improve efficiency, strengthen Consumer Duty evidence and free advisers and paraplanners to focus on client relationships.
I want to start by being clear on one point: advice will always be human.
Clients and their families want empathy and a human to reassure them when making life changing decisions. The introduction of artificial intelligence does not change the need for expert advisers and paraplanners. It changes the manual labour involved in advice workflows.
Having built AI solutions for this sector and watched firms successfully implement them, I want to be honest about what that change actually involves. The opportunity is significant but realising it requires going in with clear eyes about what the journey looks like.
Advice will always be human
Clients value empathy. They value trust. We know this to be true.
That’s why humans will remain the focal point of financial advice, helping people navigate complex, emotional and often uncertain moments. As AI develops further it will remove more burdensome admin, making advice more cost effective to deliver. When cost to serve falls and capacity in the market rises, more households will be able to access meaningful conversations with a trusted professional.
AI will help close the admin gap. Only humans can close the advice gap.
That distinction is fundamental and will define the evolution of the advice profession over the next few years.
The operating model is changing
Advice has historically been high touch and high cost because the process requires deep expertise and a lot of manual work. Data lives across multiple systems that historically haven’t communicated well, and client conversations that have been transcribed by hand.
When AI is embedded safely into compliant workflows, that time spent on arduous admin tasks is gifted straight back. AI can help remove the thousands of hours spent on meeting notes, suitability reports, file checks, data extraction, back and forth emails, and regulatory documentation.
The firms seeing the greatest gains are those that approached this as a structured transformation rather than a technology switch. The building blocks matter, and the first one is data.
The data problem comes first
Before any efficiency gains are realised, firms face a more immediate challenge: their data.
AI is only as good as the data it ingests. Most advice firms have years of inconsistent fact finds, PDFs, handwritten notes and fragmented CRM records accumulated across different systems and different advisers. Getting this right unlocks everything that follows, which is why the firms making the most progress treat data as the foundation, not an afterthought.
This is also where the right technology partner makes a material difference. Data remediation isn’t a one-off project to complete before the real work begins. It’s the starting point of a longer transformation, and it looks different for every firm depending on their back-office setup, how long they’ve been operating and how consistently data has been captured over the years.
The firms that navigate this well aren’t the ones with the cleanest data going in. They’re the ones working with a partner who understands the shape of the problem, helps them prioritise what to tackle first and builds alongside them iteratively, rather than handing over a system and stepping back.
Getting this foundation right is what separates firms that see genuine compounding efficiency gains from those that end up with a faster version of the same mess. The transformation is real, but it’s a journey. The partner you choose should be willing to make it with you.
The hardest part is change management
Beyond data, the most important success factor is people.
Senior advisers who’ve run their process a particular way for decades. Compliance officers nervous about FCA scrutiny of AI generated outputs. Paraplanners who, despite all reassurances, worry their role is being devalued.
These conversations happen in every implementation, and they’re not resolved by product features. They’re resolved by leadership, by clear communication about what changes and what doesn’t, and by involving the team early rather than presenting them with a system that’s already been chosen.
The firms that get this right unlock something powerful: a team that actively embraces the change because they understood it from the start. The firms that adopt AI successfully treat it as an organisational change project that happens to involve technology. Not the other way around.
Giving advisers time back
For advisers, this shift is transformational.
Imagine finishing a client meeting with compliant, structured notes already prepared, requiring minimal manual correction. File notes that are audit ready and aligned with FCA terminology from the outset. That reclaimed time can be reinvested directly into clients, more proactive check-ins, more life planning conversations, more behavioural coaching during volatile markets, more capacity to serve families previously priced out of advice.
Today, ongoing advice costs firms around £2,000 per client per year to maintain. Firms implementing AI effectively are beginning to see that figure fall materially – not overnight, but as repetitive tasks are systematically removed from adviser and paraplanner time. Lower cost to serve means advice becomes accessible to more households without sacrificing the human relationship at its core. Growth no longer requires linear headcount increases. It requires better, more efficient infrastructure.
Elevating the role of paraplanners
For paraplanners, the impact is equally significant, and the framing matters.
The goal is to give paraplanners their expertise back. Too many currently spend a disproportionate amount of time rewriting meeting notes, restructuring client conversations into compliant terminology and checking for missing data.
When first drafts are structured, contextual and audit ready from the outset, that changes. Paraplanners can focus their expertise where it actually belongs, on complex cases, on regulatory and tax nuance, on being the quality layer that oversees AI outputs and supports advisers on technical depth.
Human judgement becomes more important as AI evolves, not less. The AI handles the repetition. Paraplanners apply the expertise. This is empowerment, not replacement.
Consumer Duty makes this more urgent, not less
The FCA’s Consumer Duty has sharpened the compliance stakes considerably. Firms now have specific, documented obligations around suitability, vulnerability identification and fair value, and the evidence burden to demonstrate meeting them is significant.
This is where well implemented AI becomes a genuine competitive advantage. When client conversations are automatically structured into FCA aligned outputs, when vulnerability flags are surfaced consistently, when audit trails are generated as a matter of course rather than assembled retrospectively, firms are better placed to evidence Consumer Duty compliance. The efficiency gain and the compliance gain are the same action.
Safe adoption, stronger compliance
None of this works without responsible implementation, and the good news is that compliance and efficiency are not in tension. Done properly, they reinforce each other.
AI in financial services must be built with compliance front and centre. Consumer protection, secure data handling and auditability are non-negotiable. The objective is more compliant processes and better client outcomes. Efficiency is a consequence of getting those things right, not a shortcut around them.
Implemented technology must be compliant by design, tested in live environments, integrated into existing workflows and built specifically for financial advice. Not generic tools layered onto sensitive processes, but purpose-built systems that understand regulation, terminology and advice context from the ground up.
When AI captures and reconfigures data compliantly and at high quality, firms see strengthened governance alongside increased efficiency.
Advice will always be human. AI ensures that humans can spend their time where it matters most, with clients, doing the work that only they can do. The firms that embrace this thoughtfully, with the right foundations and the right partner, are already seeing what that future looks like. It’s closer than most think.
By Andrea MacDonald, Partner at Saturn






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