How I Help — 02

The right tools for your firm — not just the hyped ones

Advisers are being sold AI tools constantly, and most vendor pitches skip the questions that actually matter — where client data goes, what the UK GDPR implications are and whether the tool genuinely fits how your firm operates. This is a rigorous, independent evaluation of specific tools against your regulatory context, so you can commit with confidence rather than optimism — and so your compliance team has the information they need to sign off with confidence too.

Discuss your tech stack
The Problem

Most AI tool decisions are made for the wrong reasons

Vendor demos don't cover the technical compliance questions

The sales pitch shows you the best-case scenario. It doesn't tell you whether client data is sent to US servers, whether it's used to train the underlying model or what that means for your obligations as the data controller under UK GDPR. Your compliance team needs that information, even if vendors won't volunteer it.

"Everyone's using it" isn't a strategy for FCA-regulated firms

What works for a US RIA or an unregulated business isn't necessarily appropriate for an FCA-regulated IFA. The UK regulatory environment, your client data obligations and how your practice actually operates all affect which tools are suitable.

The integration question gets asked too late, or not at all

A tool that doesn't connect to your back-office system or CRM creates manual workarounds that eat the time you were supposed to save. Integration feasibility needs to be assessed before purchase, not after.

What I Evaluate

A rigorous framework — not a checklist

My tool evaluation framework covers eight dimensions for every AI product under consideration. It's the same framework I'd apply whether we're assessing a note-taking tool, a CRM AI layer, a content generator or a full practice management platform.

I'm not affiliated with any software vendor. My recommendation is based entirely on what's right for your firm.

The output is a written evaluation — one section per tool assessed — with a clear recommendation (proceed / proceed with conditions / do not proceed) and the reasoning behind it.

01
Data handling & storage
Where does your data go? Who can access it? Is it used for model training?
02
Regulatory compliance (technical view)
Assessment against FCA obligations and UK GDPR — including data controller responsibilities your compliance team may not know to ask about, such as where client data is processed and stored.
03
Integration compatibility
How it connects (or doesn't) with your existing back-office and CRM.
04
Practical time saving
Realistic assessment of actual time saved vs. implementation and maintenance burden.
05
Client data risk
Specific assessment of risk to client confidentiality and relationship trust.
06
Staff adoption probability
How likely the tool is to be adopted consistently by your team.
07
Vendor stability
Financial health, track record and longevity indicators for the provider.
08
Total cost of ownership
Full cost picture including implementation, training and ongoing maintenance.
Tool Categories

Common areas where advisers are making tool decisions right now

Meeting intelligence

AI note-takers and transcription tools that sit inside client meetings. High convenience, significant compliance considerations.

Content generation

Tools that assist with writing client communications, reports, newsletters and social content. Quality and compliance vary widely.

CRM AI layers

AI features built into or bolted onto existing CRM systems — client scoring, next-action suggestions, pipeline analysis.

Back-office automation

Doc processing, compliance checking, report generation — AI tools inside a regulated workflow with big compliance stakes and time-savings.

Research & analysis

Investment research tools, market analysis platforms and portfolio commentary assistants with AI capabilities.

Client-facing AI

Chatbots, onboarding tools and digital touchpoints that clients interact with directly. Highest reputational stakes.

Get started

Don't commit to a tool before you've had it properly evaluated

A tech stack review is especially useful when you're actively considering specific tools, reviewing your existing setup or preparing to present an AI adoption proposal to your compliance team or board.

Book a discovery call Start with an AI Readiness Audit