Fifty descriptions a week is a perfect AI use case. We'd build a tool that takes your product data - name, specs, category, images - and generates descriptions in your brand voice. Your writers review and tweak instead of writing from scratch.

That's because ChatGPT doesn't know your brand. We fine-tune the system on your existing descriptions - the ones your team has written and approved. It learns your tone, your formatting patterns, even your SEO keyword strategy. The output sounds like your best writer on their best day.

The tool only uses the data you feed it - no hallucination. It pulls specs from your product database, not from its imagination. Your team gets a review interface where they can approve, edit, or regenerate before anything goes live.

Absolutely. Once the brand model is trained, we can generate any content type. You'd have a content pipeline that turns one product entry into a full set of marketing assets - description, meta tags, three social posts, and an email snippet. All in your voice.

So your business decisions are bottlenecked on one person's availability. We'd build you an AI analyst - your team asks questions in plain English and gets answers with charts. No SQL required.

Exactly that. It translates the question into a database query, runs it, and presents the results in a clean chart or table. Your sales team could ask 'which customers haven't ordered in ninety days' and get a list they can act on immediately.

The AI handles multi-step analysis too. 'Compare retention rates between customers acquired through paid ads versus organic' - it breaks that down into the right queries, calculates the cohorts, and shows you the comparison. For forecasting, we layer in statistical models trained on your historical data.

Everything runs on your infrastructure. The AI queries your database directly - no data leaves your servers. We set up role-based access so each team member only sees data they're authorised for. Full audit logging on every query.