12 Systems Built.
12 Clients Who Got Their Time Back.

The Problem

Agents were doing paperwork instead of selling.

What We Built

A financial services agency was bottlenecked by paperwork. Agents spent 2–3 hours per lead on KYC forms and suitability reports instead of closing deals. We built a custom AI agent trained on their knowledge base that drafts compliance-grade reports in under 60 seconds. Capacity doubled. Policies up 30%. Paid back in 3 weeks.

The Problem

Scaling influencer marketing meant adding more VAs to manage more chaos.

What We Built

Based Bodyworks was scaling their influencer marketing program and drowning in spreadsheet chaos — 8 virtual assistants managing 250+ Google Sheets. We built them a custom CRM from scratch: centralised data, automated tracking, and a clean approval workflow. One VA now runs the whole operation.

The Problem

Mass tort ads attract angry, emotional comments — and one person can't keep up with 100+ accounts.

What We Built

A mass tort marketing agency was running emotionally charged ads across 100+ Meta ad accounts. One employee spent their entire day moderating comments — too slow to hide the angry ones before prospects saw them, too slow to reply to interested leads before they moved on. We automated the whole thing via Meta Graph API webhooks.

The Problem

One price format across all markets means every visitor sees a number that feels slightly wrong — and that costs conversions.

What We Built

Lux Armony was selling decorative lighting products globally with one fixed price everywhere. But Germany, Japan, and the US have completely different psychological pricing expectations. We built a geolocation-triggered pricing engine on Shopify that applies the right price format for each country automatically — at scale, with no manual work.

The Problem

Everyone on the team was doing too many things — and customer follow-ups kept falling through the cracks.

What We Built

Endure was losing reorders and reviews not because their product was bad, but because a small team wearing too many hats kept forgetting to follow up at the right time. We built a trigger-based Slack notification system that fires at day 7, 20, and 30+ after every purchase — with full customer context in every alert.

The Problem

The team was spending their best hours building reports instead of improving campaigns.

What We Built

LiveDove Media was spending hours every week manually pulling Meta Ads performance data, pasting it into spreadsheets, and building reports for clients. We automated the full pipeline: daily data pulls from Meta Ads API into Google Sheets, then live Looker Studio dashboards that clients can access 24/7. No more manual exports. No more static PDFs.

The Problem

Assistants were spending most of their day building quotes for leads who would never book.

What We Built

Amington Hall's assistants were spending 1+ hour creating custom wedding quotes — mostly for leads who never converted. We built a one-click quote generation system: enter a Pipedrive customer ID, and a fully formatted, pricing-calculated Google Sheets quote is ready in under 60 seconds.

The Problem

The team was burning 2–3 hours per unqualified lead — discovery call plus manual doc creation — just to find out the lead wasn't a fit.

What We Built

Amington Hall's website form collected basic contact info — and that meant every inquiry required a 30–60 minute discovery call just to gather qualification data. We built a comprehensive form that captures everything upfront and auto-generates a formatted 3-page Google Doc with the full lead profile on every submission.

The Problem

The core product was slow, breaking regularly, and 4 months from complete failure.

What We Built

The Law Practice Exchange runs the #1 marketplace for buying and selling law firms in the US. Their AI-powered valuation system was timing out at 30+ minutes, failing mid-process regularly, and 4 months from complete breakage due to OpenAI API deprecation. We rebuilt the entire system: new API, parallel processing, background execution, and vector stores for better AI accuracy.

The Problem

Paid ad traffic was visiting with intent and leaving without a trace — ad spend wasted on anonymous visitors.

What We Built

LPE was spending heavily on paid ads that drove high-intent traffic — but 95–98% of visitors left without filling out a form. We deployed RB2B to identify business visitors in real time, built an n8n pipeline to research and ICP-qualify each one, and triggered personalised email sequences the same day they visited.

The Problem

A large WordPress/Elementor site with accumulated SEO debt — and Elementor has no API to fix it programmatically.

What We Built

LPE's WordPress/Elementor site had accumulated hundreds of broken links, missing meta tags, and SEO issues across hundreds of pages. Manual fixing would have taken weeks. The core problem: Elementor has no API, so automations can't access or edit page content. We built a custom WordPress plugin to solve that, then automated the entire audit and fix cycle.

The Problem

Manual outreach was hitting a hard ceiling — too few leads, too slow, no scalability.

What We Built

Varvier Filtration, a French industrial filtration company, needed to scale B2B outreach without scaling headcount. Manual cold email was capped at 10–20 qualified leads per week per rep. We built a fully automated pipeline: daily lead sourcing from Apollo, AI-personalised first lines, automated Instantly campaigns, and intelligent handling of every reply type — including OOO, redirects, and interest signals.