AI for financial services

For a financial advice or wealth firm, AI is not a black box model that decides who gets what.

Used properly, it is a set of tools that read the documents and data your firm already handles, draft the repetitive paperwork, and move information between your systems, with a person checking and owning the result.

The advice, the suitability judgement and the accountability stay exactly where the regulator expects them: with your advisers.

In practice, that covers a large share of what eats adviser and paraplanner time:

• Client onboarding and data capture: collecting and organising new client details, populating the CRM and platform, and cutting the retyping that spreads the same data across systems.
• KYC and AML admin: gathering and checking identity and source of funds documents, flagging gaps, and assembling the file a compliance reviewer signs off.
• Fact find capture: turning meeting notes and completed fact finds into structured data your paraplanner can work from, rather than loose paper and email.
• Suitability report first drafts: assembling a first pass suitability report from the fact find and research, ready for an adviser to review, adjust and approve.
• Meeting notes to CRM: writing up client meetings and filing the actions and follow ups against the right record automatically.
• Annual review and renewal chasing: tracking which clients are due, pulling valuations, and preparing the review pack and the outreach.
• Fee and valuation reporting: generating client facing valuation and fee statements from platform data on a schedule.
• Provider and platform chasing: following up outstanding requests to providers and platforms so cases do not stall waiting on someone to remember.

On the drafting tasks, generative AI does the heavy lifting of the first version, and a qualified person owns the final one. A suitability report is only ever a first draft until an adviser has read it, tested it against the client's circumstances and put their name to it.

That is not a limitation we work around; it is the point. The automation removes the blank page and retyping burden, and the adviser keeps the judgement and the accountability.

Most firms do not need one large system. They need a handful of specific, repetitive workflows handled reliably. We group the work into four areas.

Handled separately these each save a bit of time. Handled together they compound, because the same client information flows through all of them. Data captured cleanly at onboarding is the data that populates the fact find, feeds the suitability draft, and drives the review pack a year later.

Get the intake right once and every downstream task inherits it, which is where a connected set of automations pulls ahead of a drawer full of disconnected tools.

The compliance software market is crowded with enterprise products: surveillance platforms, KYC and identity vendors, advice validation tools. They are capable, and for large firms with the budget and the in house team to run them, they can be the right call.

But they are point products built for the enterprise, and the SME adviser tends to be either over served, priced out, or left adopting someone else's fixed workflow.

A bespoke build works the other way round. We look at the specific admin your firm actually repeats, and we automate that around the platform and CRM you already run, rather than handing you a new system to migrate into.

You are not buying a licence for features you will never use; you are getting the two or three workflows that cost your team the most time, built to fit how you work.

Can AI replace a financial adviser? No, and any honest answer says so plainly. Advice, suitability judgement and the accountability that comes with them are human, regulated responsibilities, and they stay that way.

What AI can do is clear the onboarding, drafting, chasing and reporting that surrounds the advice, so the adviser has more time for the client and the judgement, and less for the paperwork.

The FCA does not regulate AI through a separate AI rulebook. It regulates the outcomes, through the frameworks that already apply: Consumer Duty, the Senior Managers and Certification Regime, and the existing rules on suitability and record keeping.

That approach was reinforced in July 2026, when the FCA published the Mills Review into AI and the future of retail financial services, led by executive director Sheldon Mills.

The review set out how AI is likely to reshape firm operations and consumer journeys, and it kept accountability firmly with senior individuals in the firm rather than with the technology.

We build to that reality. Every automation produces outputs a person can see the working behind and stand over: a suitability draft an adviser can trace back to the fact find, an onboarding file a compliance reviewer can audit, a record of what was generated and when.

Nothing is a black box, everything carries a human sign off on the decisions that matter, and we do not train models on your client data.

On data protection, the ICO's guidance on AI and personal data sets the bar for how client information is handled, and our builds are designed to keep that data inside your own systems and controls.

There is a demand signal behind all of this that firms should not ignore.

The Mills Review found that around a fifth of UK adults, roughly eleven million people, are already open to using AI that can act on their behalf within limits they set, while also worrying about trust and control.

That is the tension a firm that automates thoughtfully can turn to its advantage: clients increasingly expect the speed AI brings, but they want to know a person is accountable for the outcome.

An automation that drafts fast and hands to an adviser to approve gives them both, and the audit trail behind it is what lets you demonstrate the control the review says consumers are asking for.

That audit trail is worth dwelling on, because it is where automation quietly earns its keep at review time. When every onboarding file, suitability draft and client statement carries a record of what was generated, from what inputs, and who approved it, a compliance review stops being an archaeology exercise.

The evidence a reviewer or the regulator would want is produced as a natural output of the work rather than reconstructed after the fact, and that consistency is itself a Consumer Duty argument: the same client gets the same standard of file every time, not whatever the individual paraplanner had time for that week.

We work with firms across the UK, from London and Manchester to Edinburgh, Leeds and Bristol, and our approach to AI is built for how the regulator here actually operates. You can see our full UK AI automation approach for the wider picture.

We do not publish a single headline figure, because a fair number depends on the workflow. A single automation, say suitability first drafts or onboarding admin, is a contained piece of work. A wider programme across onboarding, reviews and reporting is a larger one.

What we can do at the outset is size it honestly against the alternative.

The alternative for most firms is either another paraplanner or admin hire, or an enterprise regtech licence sized for a much bigger business.

A build is worth doing when the hours it reclaims, and the faster suitability and onboarding turnaround it delivers, pay it back against that headcount or licensing cost within a sensible period.

If the numbers do not clear that bar, we will tell you at the audit rather than after the invoice.

It helps to look at where the time actually leaks. It is rarely the advice itself.

It is the retyping of the same client data across the platform, the CRM and the file; the hours a paraplanner loses assembling a report from a blank page; the review that slips because nobody chased the valuation.

Those are the recurring, repetitive costs a bespoke automation is built to remove, and they are the ones that compound quietly across a full client book.

A worked example. An IFA firm was losing its paraplanners' time to suitability reports: every case meant assembling a report from the fact find and research from scratch, and turnaround was the bottleneck between advice given and advice delivered.

We built an automation that takes the completed fact find and produces a structured first draft suitability report, with the research and rationale laid out for the adviser to review, correct and approve.

The adviser still owns every word that goes to the client; what changed is that they start from a worked first draft instead of a blank template, and reports move through the firm faster.

We started narrow on purpose. One workflow, suitability first drafts, proven on live cases before anything else was added. Once that was steady, the same client data that fed the draft could feed onboarding capture and the annual review pack, because it was already being captured cleanly in one place.

That is the pattern we favour: prove one painful workflow, then let the clean data it produces make the next one cheaper to automate.

A firm that tries to automate everything at once usually ends up trusting none of it; a firm that nails one workflow and expands from it builds something the whole team relies on.

To go deeper on the building blocks, our guides to AI agents and workflow automation walk through how these systems are put together.

If onboarding, suitability drafting and review chasing are eating your advisers' and paraplanners' time, that is exactly the work we take on.

We will look at one back office workflow, tell you honestly whether a bespoke build pays for itself, and if it does, build it around the platform you already run, FCA aware and auditable from day one.

There is no obligation and no pressure to buy something you do not need.

Sometimes the audit ends with us pointing you at an off the shelf tool or a small process change instead of a build, because that is the better answer for your firm, and we would rather tell you that now than sell you work that will not repay itself.

When a bespoke build genuinely is the right call, you will know why, what it will cost, and what it will give your team back.

Book a discovery call and we will begin with the single workflow draining the most time from your advisers today.

Financial services is one of the industries we build for. We do similar back office work in healthcare, education and SaaS companies, each built around the systems and rules that sector already runs on.