# Lloyd Owen — Developer (Full Content) > I turn ambitious ideas into products people love. Developer based in the UK — mobile apps, web products, and AI transformation. --- ## Home ### Hero Taking on 1 new project. I turn ambitious ideas into products people love. I partner with founders and teams who are building something worth building — and bring it to life from concept to launch. ### Services 01 — Mobile Apps From first tap to App Store. I build mobile experiences that feel native, perform beautifully, and make people want to come back. 02 — Products & Web Apps Full-stack products that actually ship. Clean interfaces, solid architecture, and the kind of polish that turns first-time users into paying customers. 03 — AI Transformation Helping businesses — from startups to factory floors — put AI at the centre of how they operate. Not chatbots for the sake of it. Real decision-making, real efficiency, real competitive advantage. ### Pricing Simple pricing. No retainers, no hourly billing, no surprises. One price, one project, done properly. Per project — From £3k A single focused engagement built around your product. Clear scope, clean process, and everything shipped and handed over when it's done. What you get: - End-to-end product design and development - Unlimited revisions until you're happy - Direct access to me — no middlemen - Built around your timeline - Full source code and asset handover - No hidden fees, no surprise invoices --- ## About I'm Lloyd — a developer based in the UK, focused on building clean and thoughtful digital experiences. --- ## Contact Want to work together? Get in touch. Email: lloyd@lloydowen.dev --- ## Portfolio ### Finleyy — AI-powered FCA compliance agent (2026) URL: https://lloydowen.dev/portfolio/finleyy External: https://finleyy.ai The FCA Handbook is one of the most complex regulatory documents in the world. Finleyy makes it accessible — an AI agent with real-time access to regulatory data, company due diligence, and compliance guidance. Stats: Delivered in 1 month | Trained on Full FCA Handbook | Price: Free The problem: Having worked in the FCA space for years, across multiple FinTech companies, it took me around three years to understand even half of how the FCA works. The handbook alone is enormous — thousands of pages of densely written regulation, cross-referenced across dozens of sourcebooks. Compliance teams spend hours digging through it. Junior analysts drown in it. And the people who actually need quick, reliable answers — founders, compliance officers, regulated firms — are left navigating a system that was never designed to be navigable. I built Finleyy to change that. Not a chatbot with a vague understanding of finance — an AI agent with deep, structured knowledge of the entire FCA Handbook, real-time access to regulatory data, and the ability to perform the kind of due diligence that used to take days. Features: 01 — Real-time regulatory intelligence: Finleyy has real-time access to FCA data that no other AI has. It can look up the FCA register, pull regulatory rules, and track changes to the handbook as they happen — not months later. 02 — Company due diligence: Point Finleyy at any FCA-regulated firm and it will pull their authorisation status, permissions, history, and limited company accounts. It analyses financials and flags risks that would take a compliance officer hours to uncover. 03 — Compliance checks & guidance: Ask Finleyy whether a specific activity requires FCA authorisation, what the rules say about best execution, or how the Senior Managers Regime applies to your firm. It gives you answers grounded in the actual handbook — not generic AI guesswork. ### IncidentRoom — Discord-native incident management (2026) URL: https://lloydowen.dev/portfolio/incidentroom External: https://incidentroom.io Incident management that lives where your team already is. Dedicated channels, automatic status pages, and AI-powered community updates — all inside Discord. Stats: Status: In progress | Platform: Discord | Price: Free The problem: Coming from the DevOps world, I'd used Incident.io and loved it. But when I moved to a company where the entire community lived on Discord, there was nothing. No way to declare an incident, spin up a war room, or keep users informed — all in the place where your team and members already are. Most teams cobble together a workflow with manual channel creation, @everyone pings, and someone remembering to update the status page an hour later. It's chaotic, things get missed, and your community loses trust every time. IncidentRoom fixes that. One trigger — a webhook from your monitoring, or a slash command from an engineer — and the entire incident workflow kicks off automatically. The right people are in the right channel, the status page is live, and AI handles the communication so your team can focus on the fix. Features: 01 — One-click installation: Login with Discord, and you automatically have access to every server you manage. Pick a server, install the bot, and you're running — no config files, no environment variables, no setup calls. 02 — Dedicated incident channels: Trigger incidents via external webhooks or manually from the dashboard. IncidentRoom spins up a dedicated Discord channel, pulls in the right responders, and keeps everything contained — no more scrambling across DMs and threads. 03 — Automatic status pages: Every incident automatically updates a public status page. Your community sees what's happening in real time without engineers having to context-switch to write updates. 04 — AI-powered comms: IncidentRoom uses AI to read the channel contents and draft community updates while engineers focus on the actual problem. It auto-resolves when the incident is closed — no loose ends, no forgotten status pages. ### Clarian — AI-powered RegTech platform (2025) URL: https://lloydowen.dev/portfolio/clarian An AI RegTech platform for managing firm networks, staff fitness & propriety, and regulatory risk — catching issues before the FCA does. Stats: Role: Founder & Developer | Industry: RegTech | Status: Prototype The idea: Regulated firms manage networks of companies and hundreds of staff — all with training deadlines, fitness & propriety checks, and FCA reporting obligations. Most of them do it with spreadsheets, email threads, and a prayer. Clarian was built to replace that. A single platform where firms can manage their entire compliance network, track staff certifications, and let AI continuously monitor for the kind of subtle risks — gaps in address history, expired certifications, non-compliant promotions — that the FCA will find if you don't. Features: 01 — Firm & network management: Manage entire networks of regulated firms and their staff from a single dashboard. Track authorisations, permissions, company details, and keep a full audit trail the FCA expects — without the spreadsheets. 02 — Automated compliance monitoring: Configurable rules engine built around FCA guidelines. Address history gaps, missing certifications, overdue reviews — Clarian watches for them continuously and flags issues before they become problems. 03 — AI-powered promotions review: Upload financial promotions and Clarian's AI analyses them against FCA rules in seconds. It catches missing #Ad disclosures, insufficient risk warnings, and regulatory breaches that a manual review might miss. --- ## Blog ### AI is changing business — and most companies aren't ready Published: 2026-04-12 URL: https://lloydowen.dev/blog/ai-is-changing-business Something interesting is happening. Businesses that have never had a tech team — manufacturers, logistics companies, traditional retailers — are picking up the phone and asking about AI. Not because they understand it. But because they know something has shifted, and they don't want to be left behind. Most of the time, these conversations start the same way: "We keep hearing about AI but we don't really know what it means for us." And that's honest. That's the right starting point. The gap between hype and reality: The AI conversation in most boardrooms is dominated by fear and hype in equal measure. People hear "AI" and think they need to build the next ChatGPT. They don't. What they actually need is to take the data they're already sitting on — years of it, buried in spreadsheets, ERPs, email threads, and legacy systems — and make it useful. That's where the real opportunity is. Not in building AI products. In using AI to understand your own business better than you ever could manually. What this actually looks like: I've built systems for businesses where the entire workflow looks like this: overnight, the system pulls in sales data from their POS, manufacturing output from their ERP, supplier emails, delivery schedules, even customer complaints. By the time the managing director sits down with their coffee the next morning, they have a dashboard telling them: - Which product lines are trending up and which are quietly dying - Where the bottlenecks are in production before they become problems - Which suppliers are consistently late and what that's costing them - What to prioritise today based on everything that happened yesterday No jargon. No "prompt engineering." Just actionable intelligence, bespoke to their business, delivered before they've even asked the question. Legacy data is the goldmine nobody's mining: Here's what surprises most people: the AI doesn't need clean, perfect data to be useful. It's remarkably good at finding patterns in messy, real-world information — the kind every business has been accumulating for years without thinking about it. That spreadsheet your operations manager has been maintaining since 2014? It contains insights about seasonal demand patterns that nobody has ever spotted. Those thousands of customer emails sitting in a shared inbox? They contain product feedback more honest than any survey you could run. The businesses getting the most value from AI aren't the ones with the cleanest data. They're the ones willing to point AI at the mess and let it find the signal. Why bespoke matters: Off-the-shelf AI tools are fine for generic tasks. But a manufacturing business in the Midlands has nothing in common with a SaaS company in San Francisco. Their data is different, their workflows are different, their decisions are different. The dashboards I build are designed around how the business actually operates — not how a software company thinks they should operate. Every metric, every insight, every recommendation is tailored to the decisions that specific team needs to make every day. The shift is already happening: The businesses I'm working with aren't tech companies. They're the kind of places where people have been doing things the same way for twenty years. And when they see their first AI-powered dashboard — when they see a machine surface an insight that would have taken their team a week to find manually — something clicks. It's not about replacing people. It's about giving them leverage they didn't know was possible. The ones who embrace this now will have a compounding advantage. The ones who wait will spend the next five years catching up. If you're running a business and you've been wondering what AI could actually do for you — not in theory, but in practice — let's have a conversation. The answer is probably more tangible than you think. ### I use AI to build websites faster — here's what nobody tells you Published: 2026-04-02 URL: https://lloydowen.dev/blog/i-use-ai-to-build-websites-faster I'm going to be honest about something that most people in my industry won't say out loud: AI has dramatically changed how fast I deliver projects. Things that used to take me a month are now taking a week. And I don't think that makes me lazy — I think it makes me dangerous. But before you assume this is another breathless "AI is amazing" post, stick around. Because the full picture is a lot more nuanced than the headlines suggest. How I actually use it: I don't hand AI the keys and walk away. That's how you end up with a codebase that looks like it was written by someone who read the first chapter of three different tutorials and gave up on all of them. What I do is guide it — very narrowly. I use AI to hyperfocus on specific elements that would usually eat up days of my time. Repetitive component scaffolding. Boilerplate that I've written a hundred times before. Translating a design into markup. Wiring up API integrations where the pattern is well-established. The boring stuff. The stuff that doesn't need my creative brain — it needs my fingers to type faster. AI handles that brilliantly. And by offloading those hours, I can spend my actual thinking time on the things that matter: architecture, user experience, business logic, performance. It still does stupid things: Let me be clear: AI is not a senior developer. It's not even a reliable junior. It's more like an incredibly fast intern who occasionally produces something brilliant and occasionally produces something that would take your production server down in minutes. I've watched it confidently generate code that looks perfectly reasonable on the surface but has subtle architectural flaws that would haunt you six months down the line. It duplicates logic instead of abstracting it. It picks the wrong data-fetching strategy. It ignores edge cases that any experienced developer would catch instinctively. The difference is that I catch those things. I've spent over a decade building web applications, and that experience is what turns AI from a liability into leverage. I know what good architecture looks like. I know when something will scale and when it'll fall over. AI doesn't know any of that — it just pattern-matches against training data and hopes for the best. Can anyone build a website with AI now? Technically, yes. And this is where the conversation gets interesting. There are people right now — with zero engineering background — using AI tools to generate entire websites and applications. And some of them genuinely work. They load, the buttons do things, it looks reasonable. So the question becomes: do you still need a developer? The answer is the same as it's always been when someone asks "can I do this myself?" — you can, but should you? You can do your own plumbing too. You might even get water to come out of the tap. But when the pipes burst at 2am because something wasn't fitted properly, you'll wish you'd called someone who understood the system. What AI-generated code from a non-developer typically lacks: - Sensible architecture that doesn't collapse when requirements change - Security considerations — authentication, input validation, data handling - Performance optimisation — lazy loading, caching strategies, efficient queries - Accessibility and SEO fundamentals - Maintainability — the code needs to make sense to the next person who touches it - Error handling that doesn't just hide problems These aren't nice-to-haves. They're the difference between a toy and a product. And they come from years of building things, breaking things, and learning from the wreckage. AI can't shortcut that. The real competitive advantage: Here's what I think is actually happening: AI is widening the gap between good engineers and everyone else. If you know what you're doing, AI makes you significantly faster without sacrificing quality. If you don't know what you're doing, AI lets you produce more bad code in less time. A decade of experience means I know what to ask for, how to validate what comes back, and when to throw it away and write something myself. I understand the full stack — from the database schema to the deployment pipeline — so I can spot when AI is making assumptions that will cause problems later. That's the bit the hype cycle glosses over. AI is a force multiplier, not a replacement. And the value of the multiplier depends entirely on what it's multiplying. What this means for my clients: For the businesses I work with, the practical impact is straightforward: they get higher quality work, delivered faster, at a price that reflects the efficiency. A simple web project that would have taken a month of billable hours now takes a week — because I'm not spending four days on boilerplate and repetitive implementation. But the thinking, the planning, the architecture, the decisions about what to build and how to build it — that's still me. That's still a human with ten years of context about what works and what doesn't. AI hasn't replaced that, and I don't see it replacing it anytime soon. If you're looking for someone who uses every tool available — including AI — to deliver real results without cutting corners, get in touch. I'd rather show you what this looks like in practice than try to convince you in a blog post.