Enterprise companies spend thousands on data teams, Power BI, and Tableau engineers — just to turn their business data into something they can actually see and act on.

Here's the thing: your small business already has all that data sitting in your software. You just haven't visualised it yet.

With AI tools like Lovable and Claude, you can build a fully custom dashboard — a command centre that can grow further — one that rivals anything an enterprise team would produce — in a few hours, with no developers required.

Let me show you how.

This one's part data visualisation, part CRM.

We built it for a renewable energy fund to track every asset they're evaluating — solar, wind, you name it — across every stage of their acquisition pipeline.

The team can filter deals by type, stage, DA, operations status, and more. They can add and enrich deal information as they move through the process, and compare deals side by side.

There's also a masked version they share with potential LPs — a clean, always-live view of what the fund holds and what they're pursuing. A serious upgrade from sending a PDF deck.

Our team at Phlo exports financial data from Xero and uses Lovable to turn it into a clean, web-based dashboard for clients.

Instead of handing someone a P&L spreadsheet and hoping they understand it, clients get interactive graphs that break down their financials in a way that actually makes sense.

We then connected an LLM so clients can ask plain-English questions like "What's my net profit this quarter?" — and get an instant answer.

The AI also flags areas of improvement, which the accountant reviews before surfacing them on the dashboard. It's like giving every client their own CFO-level insight tool.

This is one of my favourite examples I've come across — Tess, a marketer with zero coding background, built her own internal command centre to manage multiple brands and her entire business from a single dashboard.

No developers. No technical knowledge. Just a clear idea of what she needed and the right AI tools to build it.

This is exactly what I'm talking about. It doesn't matter what industry you're in or what your business looks like — if you have data spread across multiple tools, you can centralise it, visualise it, and actually use it to make decisions.

1. Find your data

Start with what you already have. Most tools (Xero, HubSpot, spreadsheets, etc.) let you export to CSV — start there. If a CSV export isn't possible, use an AI browser agent like Claude's Chrome extension, Perplexity Comet, or GPT Atlas. Log in to the platform, clearly describe what data you need, and let it work through the pages. You'll end up with a table you can paste into Excel.

2. Write your brief with Claude

Don't just dump your data in and hope for the best. First, use Claude to generate a Product Requirements Document (PRD) for your dashboard.

Try this prompt:

"Make a Product Requirements Document for [describe the dashboard you want]. Feel free to ask me any questions to get clarification."

That last line matters. LLMs won't always ask for more detail when they need it — and that's where you get generic, mediocre output. Inviting questions gets you something actually tailored to your situation.

Pro tip: Use a voice-to-text tool like Whisperflow to explain what you want. It's faster and more natural than typing a brief from scratch.

3. Review your PRD before building

Read through it. Ask for changes. The clearer your blueprint, the less back-and-forth when you're actually building — and the fewer tokens you burn.

4. Build it in Lovable or Claude Code

Upload your PRD and your sample data. Once the structure looks right, upload your full dataset. Done — you have a dashboard.

From here, you can ask:

That last one is where it gets really powerful. Combining multiple data sources can surface patterns and opportunities you'd never spot manually.

If you've got a data source and an idea, you're closer than you think.

Book a call → and we'll map out what your dashboard could look like — and how fast we can get it live. https://phloing.com/book