Cordrey The Journal

The Journal

Writing on AI,
automation, and operations

Showing 22 articles

What the next wave of enterprise AI actually means for your firm

Enterprise AI is shifting from cheap experimentation to cost-conscious deployment. Here is what the OpenAI and Microsoft announcements this week mean for professional services firms.

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What Claude for Small Business actually does for a wealth management firm

Anthropic launched 15 ready-to-run agentic workflows for tools most small advice firms already use. Here is what that means in practice, and where the FCA guardrails sit.

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Intelliflo vs Xplan vs Plannr: which practice management platform is right for your firm?

A plain comparison of Intelliflo, Xplan, and Plannr for UK financial advice firms: what each does well, where each falls short, and how to choose between them.

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How intelligent routing makes multi-agent AI systems safe enough for regulated firms

Most multi-agent AI pilots fail before reaching production. This article explains what routing is, why it matters for compliance, and how to judge whether your firm is ready.

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The AI token shortage begins

Flat-rate AI subscriptions are giving way to usage-based billing. Here is what that means for a financial advice firm running AI tools today.

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Automating client onboarding: a step-by-step guide for IFAs

Advisers spend around 15 hours per client on onboarding, and more than half of that time isn't client-facing. Here's how to change that systematically.

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Why UK financial services firms are reluctant to adopt AI

Regulatory uncertainty, cybersecurity liability, and the gap between AI capability and organisational readiness are keeping many UK advice firms on the sidelines. Here's what that costs.

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How to automate suitability report drafting without breaching Consumer Duty

How advice firms can use AI to draft suitability reports faster, while keeping the human oversight and audit trails that Consumer Duty actually requires.

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The realistic limits of today's AI, explained without hype

What current AI can and cannot do reliably, and how financial advice firms can make better decisions by understanding the difference between genuine capability and vendor promise.

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What your adviser should know about AI and your investments

How AI is being used in investment management, what that means for your portfolio, and the questions worth asking your adviser at your next review.

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A Plain English Guide to Large Language Models for Business Owners

Get an introduction to large language models and their applications in business, explained in plain English

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What the FCA and Bank of England joint AI statement means for your advice firm right now

The FCA, Bank of England, and HM Treasury published a joint statement on 15 May 2026 on frontier AI models and cyber resilience.

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How to spot AI-washing in software you already pay for

Every platform you use has added an AI feature in the last 18 months. Most of them are not worth your attention. Here is how to tell the difference.

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Why most AI pilots in advice firms never make it to production

The reason your automation project stalled has nothing to do with the technology. Here is what actually goes wrong and how to fix it.

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Why only 12 percent of firms using AI tools see real business impact

Most firms that adopt AI tools see no measurable return. The gap between the 12 percent who do and the rest comes down to three operational decisions made early.

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What deepfake fraud means for FCA-regulated firms and how to protect client verification workflows

Deepfake voice fraud is accelerating fast. Here is how advice firms should redesign verification workflows before the next attempt hits.

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A working definition of AI-ready for a small business

Most firms chase technical readiness when the real blocker is a simpler one: knowing what problem you're actually trying to solve.

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What an automation audit actually involves

A plain account of what happens during an automation audit, what it costs, and how to run a basic version yourself in under an hour.

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Why your data is the bottleneck, not the AI model

Firms stall on AI projects not because the technology is immature, but because their data is fragmented, inconsistent, and never designed for machine consumption.

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Zapier, Make, or n8n: which automation platform actually fits a wealth management firm

A direct comparison of Zapier, Make, and n8n for IFAs and wealth managers — covering cost, compliance fit, data residency, and where each platform breaks.

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The five AI terms every SME owner should understand before buying anything

On the words that vendors use to sell you things, and what they actually mean when the jargon is stripped away.

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Most 'we need AI' projects end at Level 1.

On why the honest first answer to most AI questions is that you already have a tool that does this.

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