We agree the metrics first
Before launch we define the handful of numbers that matter: response time, qualification rate, booked appointments, show rate and follow-up completion.
Client work & scenarios
Real client projects, every claim labeled
Below are systems we actually built for named businesses — AI agents, finance dashboards, audits and automations — followed by illustrative scenarios for seven business types. Client pages use only numbers the project files prove; scenario pages claim no results at all.
How to read this page
- Client work Named businesses, real builds, with figures taken from the delivery record.
- No invented results Where a project only covers a build, we say so and claim nothing more.
- Scenarios Seven example builds, clearly labeled — business type, problem and workflow logic.
- Permission-first Personal names, credentials and client data stay private.
Client work
Real projects, built for real businesses
Twelve engagements across AI agents, DM automation, voice, dashboards, audits and research. Each page states what was built, what the project files prove, and what it does not claim.
Aello Pilates Studio
Reconciliation engine, live money-flow dashboard and a bilingual AI assistant for a Muscat pilates studio — IN2, Paymob and Bank Muscat in one view.
Two Tails Pet Company
A TikTok Shop performance audit: ~19,252 product views to one sale, one campaign where three were believed to run, and a per-video creative scorecard.
JeTech
Break-even ROAS per SKU, a campaign keep/cut audit and 15 video concepts — built from the shop's own margins, not benchmarks.
MUUVA Beauty
A ManyChat AI assistant for a brow studio that screens brow history, collects three specific photos and routes the right clients to Acuity booking.
CheapHomesGermany
A multilingual AI receptionist across WhatsApp, Instagram and Messenger — live property data, strict human handover rules and token-cost control.
Firma Broadway
A Spanish-first AI intake for a California injury law firm: answer questions 24/7, collect phone numbers, never give legal advice.
New Century Headstones
A sensitive-industry Meta chatbot that answers cemetery and price questions with care, then books Square appointments across three locations.
Reliant Insurance
An ElevenLabs voice agent audit: consent-based SMS, truthful failure handling, privacy guardrails and a 12-scenario test suite.
MB Aesthetics Clinic
The clinic reported that 92% of landing-page visitors left without enquiring (client-reported). We built a concierge to answer questions, check live Zoho availability and book.
Lillowe Beats
A self-hosted FFmpeg renderer with a JSON2Video-compatible API — long-form meditation videos with seamless audio loops and outro fades.
NMHomeStart
Five SEO-shaped pages for a first-time-buyer realtor in Albuquerque — live IDX listings, lead capture and an honest domain decision.
Real Estate Social Alert
An n8n + Lofty automation that turns social messages from existing leads into one consolidated note and one review task after ten quiet minutes.
Client permission & labeling
Client pages are published with the business's name only where it is a public brand. Personal names, credentials, account identifiers and customer data are never published. Figures come from the project's delivery records and are labeled as build facts, client-reported data or claims to verify — never dressed up as outcomes.
Read this first
Two kinds of pages, labeled differently on purpose
Client pages describe systems we built and cite the numbers the project files prove — sync counts, tested scenarios, audit figures taken from the client's own platforms. Where an engagement was a build, an audit or a staged draft, the page says exactly that. We do not convert scope into results, and we do not publish client data beyond what describes the work.
Scenario pages are different: they show the business type, the manual problem and the system we would build for it, with no client and no outcome claimed. Read those as proposal templates for your industry, not as results.
Illustrative scenario
Illustrative scenario. We publish measurable results only when we have client permission and verified data. Everything on the scenario pages describes a proposed workflow, not an outcome we achieved.
Illustrative scenarios
Seven business types, seven example builds
Pick the one closest to how your business actually runs. These are clearly labeled scenarios — no client and no result is claimed on any of them.
HVAC
AI intake for an HVAC company — no-cool and no-heat calls, tune-ups, maintenance agreements, SEER2 replacement quotes and dispatch.
Plumbing
AI dispatch for a plumbing company — burst pipes, water heaters, drains, repipes and sewer lines routed to the right tech.
Roofing
AI intake for a roofing company — storm damage, inspections, estimates, insurance claims and tarping requests.
Dental
AI reception for a dental practice — scheduling and admin only: new-patient exams, hygiene recall, insurance verification and reminders.
Real Estate
AI follow-up for real estate leads — buyer and seller leads, showings, lead ads and drip follow-up.
Online Coach
AI booking for an online coach — discovery calls, an application funnel, webinars and no-show recovery.
Instagram Business
Instagram DM sales for a small business — comment-to-DM, DM follow-up, link-in-bio and booked calls.
Honest reporting
How we report results honestly
When a system goes live, we agree on what we will measure — and we only publish it with permission.
We measure from real data
Numbers come from your CRM, calendar and conversation records — not from estimates, screenshots or a marketing narrative.
We ask before we publish
If a result is worth sharing, we ask the client for written permission and verify the data with them first. No permission, no publication.
We label anything hypothetical
Worked examples are marked as illustrative scenarios, exactly like the pages in this section. We never dress up a hypothetical as a case study.
We separate work from outcome
“The agent replies instantly” is a description of the build. “It produced more revenue” is an outcome that needs proof. We keep the two apart.
We tell you when the fit is wrong
Sometimes the fastest win is not automation. If that is true for you, an honest audit should say so rather than sell a build.
Illustrative scenario
Illustrative scenario. We publish measurable results only when we have client permission and verified data.
Every scenario, same route
Audit → build → launch → optimize
Whichever scenario fits you, the engagement runs the same four stages.
1
Audit
We map how leads arrive today and find the single biggest leak in the journey.
2
Build
We configure the capture, response, qualification and follow-up layers on your tools.
3
Launch
You approve the knowledge base and escalation rules, then the system goes live.
4
Optimize
We review the agreed metrics together and tune the system over time.
Timelines vary by scope. We confirm dates after the audit — no fixed promises.
Get your plan
Turn a scenario into a plan for your business
Tell us how leads and follow-up work today. On a free strategy call we will map the fastest fix for your situation — often the first automation worth building.
- A free 15-minute AI strategy call — no obligation.
- A scoped blueprint: the biggest leak, and the first automation to fix it.
- Honest fit check — we will tell you if automation is not your fastest win.
The fastest way in: answer six short questions and we will map your lead journey, find the biggest leak and show the fastest automation win — before we ever get on a call.
Free strategy call · No commitment · We reply by email
Keep going
Related pages
The full system
Industries
AI services
Illustrative scenario
Illustrative scenario. We publish measurable results only when we have client permission and verified data.
Ready to map one of these onto your business?
Book a free AI strategy call and we will walk the scenario that fits you against your live pipeline.