Three businesses, three quiet engines.

The bottleneck. Samantha ran a fully booked aesthetics clinic, but her website was a dated WordPress site that barely showed up on Google. It read like a brochure, had no blog at all, and brought in next to nothing. New-patient acquisition leaned almost entirely on word of mouth, which is fragile and hard to scale.

What we built. A complete editorial site rebuild, structured so Google and AI search engines understand exactly who the clinic is, where it is, and what it treats. On top of it, an autonomous content agent that researches and drafts a weekly blog post under Samantha’s editorial review, plus a tool that produces months of compliant social posts in minutes.

The outcome. This is the part that usually takes months. Search rankings and AI-search visibility are slow to build, especially from a standing start with no SEO behind you. Yet within weeks of launch, the new site already appears in around 1,500 local searches a month, up from almost nothing, and ranks for over 100 local terms like “aesthetics in Manchester” and “lip fillers Manchester”. Traffic is even coming through from AI assistants like ChatGPT, where the old site never surfaced at all. Enquiries now come in directly through the site, and the blog publishes weekly without Samantha touching a draft.

• Custom editorial website
• AEO content architecture
• Treatment landing pages
• Schema + structured data
• Autonomous blog agent
• Editorial review workflow

“We went from invisible on Google to showing up everywhere our clients are searching. And the blog writes itself now.” Samantha N. · Aesthetics clinic

The bottleneck. Robert’s crews ran fine. Robert didn’t. Every new job meant four hours of personal admin — quote follow-up, deposit chasing, job-pack PDFs, first-day briefs to the crew, customer expectation-setting. Almost all of it happening on his phone, after 9pm.

What we built. An autonomous onboarding agent wired into his existing CRM, calendar, and document tools. Quote-acceptance triggers a sequence: contract drafted, deposit invoice generated, customer welcome and expectation email sent, job pack assembled with the right specs for the right crew, first-day brief queued in WhatsApp for review.

The outcome. Robert reviews and approves — he doesn’t draft. The onboarding sequence runs in under twenty minutes from quote-accepted to crew-ready. He’s recovered roughly twenty hours a month, all of it previously stolen from his evenings.

• Autonomous onboarding agent
• CRM + calendar integration
• Contract + invoice automation
• Job-pack generator
• Crew brief workflow
• Review approvals layer

“They didn’t pitch me a platform. They sat with my business for a week, found the four hours a day I was losing, and handed them back.” Robert F. · Home trades operator

The bottleneck. Ella’s Instagram brought in qualified leads daily. By the time she replied, most had cooled. Her DMs were a graveyard of dropped conversations — the cost of being a one-person business with a real audience.

What we built. An autonomous DM setter trained on Ella’s voice, her offer, and her qualification criteria. It replies in seconds, asks the right qualifying questions, scores the lead, and — for the ones that fit — books them straight into her calendar. Anything ambiguous gets handed up to her with the conversation summarised.

The outcome. Ten qualified calls booked in the first seven days live. No drop-off, no cold leads, no human in the loop until the call itself. Ella spends her DMs time on conversations that close.

• IG DM setter agent
• Voice + tone training
• Qualification scorecard
• Calendar handoff
• Escalation summary layer
• Weekly performance review

“I get to spend my coaching brain on coaching, not on chasing strangers through DMs. That alone paid for the build.” Ella P. · Online coaching