The Big Picture: Implementation Has Replaced Experimentation

If last year was about experimenting with AI, this week’s headlines confirm that 2026 is firmly the year of putting it to work. Across financial services, the conversation has shifted from “should we try this?” to “how do we deploy it properly?” That matters for IFAs, because the tools now arriving on the market are no longer rough prototypes — they are purpose-built systems aimed squarely at the advice process.

This Week’s Standout: A Free AI Tool Built for Advisers

The most immediately practical news this week for working IFAs comes from UK company Ani Tech, which has launched a free AI cash flow modelling tool aimed squarely at financial advisers. Rather than navigating complex software or manually entering data, you describe a client’s situation in plain English and the tool builds the financial model for you. Client fact finds can be updated through simple commands, and you can compare scenarios instantly without reformatting a spreadsheet.

The wider implication is significant: AI tools like this could reduce the cost of onboarding a new client from around £800 to as little as £200. That lower cost could make it viable to serve the roughly 25 million people in the UK who currently cannot access regulated advice because the economics don’t stack up under the traditional model.

Regulatory Update: Two Things Came Into Force This Month

PS25/22 — Targeted Support is now active as of April 2026. This FCA policy allows authorised firms to use a limited amount of client data to offer “ready-made suggestions” to defined groups of consumers — without needing to complete a full suitability assessment for each person. Think of it as a regulated middle ground between generic guidance and full financial advice. AI is a natural fit for delivering this kind of service at scale.

FCA AI Live Testing — Cohort 2 also kicked off this month. This is the FCA’s sandbox for firms that want to trial AI tools in a regulated environment with regulatory oversight. If your firm is considering a meaningful AI deployment and wants to test it safely before rolling it out, this pathway is worth exploring.

On the longer-term horizon: the FCA’s Mills Review — launched in January and led by Executive Director Sheldon Mills — is examining how AI will reshape retail financial services. Recommendations reach the FCA Board in summer 2026. Separately, guidance on AI audit trails and the explainability of AI decisions is expected before year-end.

The bottom line: The rules themselves haven’t changed, but they are being actively interpreted and clarified for an AI context. If you are using AI tools in any client-facing process, document how they work and who in your firm is accountable for reviewing their outputs.

Market Disruption: The Wealth Manager Wobble

US-based fintech Altruist made headlines earlier this year when it announced its Hazel AI platform could generate fully personalised tax strategies from client documents in minutes. Shares in St James’s Place fell more than 13%, AJ Bell dropped 8%, and Quilter declined 5% as investors priced in competitive disruption.

This doesn’t mean the established players are suddenly threatened — Hazel is US-focused and not FCA-regulated. But the market reaction shows how seriously investors are now taking the possibility of AI-driven disintermediation in wealth management. Most industry analysts expect a hybrid outcome: AI handles the data-heavy, repetitive work, while qualified advisers retain responsibility for strategy, relationships, and the conversations that software cannot replicate — understanding a client’s real attitude to risk, navigating complex family dynamics, or making a judgment call when circumstances don’t fit neatly into a model.

Aveni Deploys Across Quilter’s Adviser Network

Edinburgh-based AI specialist Aveni has gone live across Quilter Financial Planning’s appointed representative firms. The tool — Aveni Assist — records, transcribes, and summarises client meetings, automatically capturing agreed actions. Aveni has also developed FinLLM, a large language model built specifically for UK financial services, trained on regulatory language and FCA requirements rather than general internet content. This distinction matters: general-purpose AI tools can struggle with COBS-specific obligations, whereas purpose-built models are designed with the regulatory context IFAs operate in already built in.

What the General AI Assistants Can and Can’t Do

General-purpose tools like ChatGPT, Claude, and Google Gemini continue to attract attention. Each has genuine strengths for specific advisory tasks. Claude is well-regarded for reading and summarising long documents such as fund factsheets, policy wordings, and regulatory papers. ChatGPT is strong for explaining financial concepts in plain language. Gemini suits those already embedded in Google Workspace.

The consensus from industry commentators is that these tools are useful for preparation and internal tasks, but are unlikely to become the dominant force in regulated client-facing services — because they are not FCA-regulated themselves. The more significant trend is the growth of specialist regulated AI agents: purpose-built tools that look and feel like familiar chat interfaces but are designed and governed specifically for financial services.

”Agentic AI” — What It Means in Practice

You may have started hearing the phrase “agentic AI” more frequently. It refers to AI that does not just answer questions — it takes actions across multiple steps on your behalf. Think of it as the difference between asking someone what to do, versus asking them to go and do it.

Early use cases in financial services include automatically pulling together meeting preparation materials, monitoring portfolios for trigger events and flagging them to the adviser, and managing the back-and-forth of onboarding documentation. Lloyds Banking Group has called 2026 the year agentic AI moves from trial to operational deployment. Around a third of UK banks are already piloting this technology, with half of those pilots expected to go live this year.

The Numbers Worth Knowing

  • 43% of UK advice firms already use AI — primarily for personalisation, data analysis, and compliance
  • 59% of financial institutions now report measurable productivity gains from AI — up from 32% a year ago
  • 44% of finance teams are expected to use agentic AI by end of 2026
  • Agentic AI could reduce adviser client onboarding costs from ~£800 to ~£200
  • 70% of consumers still prefer advice from a human — the relationship remains central

In Summary

The message this week is that AI for IFAs has moved from a future consideration to a present-tense decision. A free, adviser-specific tool launched last week. Two significant FCA frameworks came into force this month. And the market is pricing in disruption, even if the full effect is still some way off.

The advisers best placed to benefit are those getting comfortable with these tools now — not to replace the client relationships at the heart of good advice, but to free up more time to focus on them.

Sources used in this summary: