End-to-end automation for a
35-year-old business.

A business with 35 years behind it has 35 years of process — most of it in people's heads and manual routines. We rebuilt the front and back of the operation as AI employees, from the website and the phones to the way sales meetings turn into presentations.

The problem

Long-established businesses run on habit. Calls handled the way they always were, email answered when someone got to it, meetings that lived and died in someone's memory, and marketing that happened when there was time. Nothing was broken exactly — it was just all manual, all dependent on people, and impossible to scale without adding staff.

What we built

• New website — rebuilt as a modern, conversion-focused site.
• AI receptionists at scale — roughly 35 AI receptionists placed across the business, so calls are answered, qualified, and booked without a missed opportunity.
• Social media management — content and posting handled as an ongoing function.
• Email automation — the full flow of inbound email triaged, prioritized, answered, and routed, so nothing sits.
• Booking automation — appointments captured and scheduled without manual back-and-forth.
• Facebook post automation — social posting running on schedule.
• Meeting-to-presentation automation — the standout piece: the system reviews the business's Zoom meetings, reads through each conversation, and on sales calls identifies what the client actually needs. From that, it generates a tailored presentation. The step that used to mean an hour of someone's time after every call now happens automatically.

Why it matters

This is what "done-for-you AI employees" looks like across a whole company rather than a single task. Reception, marketing, email, scheduling, and even the judgment-heavy work of turning a sales conversation into a follow-up presentation — all running as employees inside a business that had operated the same way for three and a half decades.

The meeting engine, specifically

The Zoom automation deserves its own line because it's where most people assume a human is still required. The system ingests the meeting, extracts the substance of the conversation, determines the prospect's needs on a sales call, and produces a presentation built around them. It's a concrete example of an AI employee doing work that looks like it needs a person — reliably, every time, without the call notes getting lost.