Build, Ship & Scale · AI systems and automation

Custom AI systems, engineeredto scale operations.

We find the constraint holding an established business back, then design, build and install the custom AI system that removes it. Built by two former Heads of AI and a team with more than 100 systems of collective experience.

100+ systems built collectivelyFirst production-ready version ≤ 45 daysQA tested before production
Operating systemLive
AcquireDeliverSupportOptimise
BSS Core
ArchitectureCustom
ValidationQA + UAT
OwnershipClient
Intelligence layerLearning continuously
System improvement deployed

A few examples of what becomes possible.

Five systems built by members of our current team across live business operations. They are not a catalogue - they show how we engineer around the constraint, whatever the operation requires.

01

Home-services marketing agency · $3M+/year

A 70-client SEO ceiling removed.

The entire SEO operation - research, strategy, implementation, reporting and content - built into one custom platform.

110+
SEO clients and scaling
≈$200k
annual payroll removed
15% → <6%
SEO churn
Read the case study
02

Medical marketing agency · ~$2M/year

A $15k call centre replaced.

A custom AI call centre that calls, texts, emails, reschedules, takes deposits and works 24/7.

$15k → < $1.7k
monthly running cost
≈30%
booking-rate increase
24/7
calling and follow-up
Read the case study
03

Roofing marketing agency

Creative refreshed before performance dies.

A media-buying system that auto-refreshes creatives on a cycle determined by each client’s live KPI status.

20% → <8%
monthly client churn
≈2.5×
business growth
3–14 days
KPI-led refresh cycle
Read the case study
04

High-ticket info business

Every lead called within 60 seconds.

An AI setter that calls, qualifies and warms every lead before connecting them with their assigned human closer.

40% → 75%
sales-call show rate
≈2×
closed deals
<60 sec
lead response
Read the case study
05

HVAC marketing agency · ~$1M/year

Client success without the payroll ceiling.

An AI client-success agent trained on the agency’s SOPs and call recordings, working inside Slack.

≈$150k
annual payroll saved
<8%
client churn
1
human CS specialist retained
Read the case study
Beyond the examples

If the outcome can be mapped, we can engineer the system behind it.

Bring us the operational constraint - not a list of tools. We’ll design the right combination of custom software, AI, APIs, automation and infrastructure to remove it.

Tell us what to automate

We call ourselves Build, Ship & Scale. Here’s why.

We build what your business needs, ship it as a product you own, and create the capacity for profitable scale.

01Constraint

Build

Start with the bottleneck, not the tool.

We map the process, cost or capacity ceiling holding the business back. Then we brief the system around the operation, the people using it and the result it needs to produce.

  • Constraint-first scope
  • Built around your business
  • No guesswork
02≤ 45 days

Ship

A production-ready first version within 45 days.

Our developers build it, our QA team tests it and your team validates it in a UAT environment before it goes into production. Speed matters, but reliability comes first.

  • Developer-built
  • QA tested
  • UAT before production
03Ownership

Scale

Fix capacity first. Then improve the economics.

The system becomes part of your operation and belongs to your business. We can stay on to maintain it, fix issues and add features as the next constraint appears.

  • You own the system
  • Ongoing maintenance
  • Built for volume

Built for established agencies and info businesses doing $50k+/month, with a proven operation and a constraint worth removing.

Find your highest-leverage system

Thinking from inside the build.

First-hand lessons on operating leverage, constraints and building systems that survive contact with the real business.

Strategy01

How to find the first AI system worth building

A candid, constraint-first guide for established founders - built from real decisions inside seven-figure agencies.

Architecture02

AI agents vs automation vs custom software: what should your business build?

A practical guide to choosing the simplest architecture that can actually solve the constraint.

Delivery03

Build vs buy vs hire: how should you get your AI system built?

An honest comparison of SaaS, DIY builds, internal hires and specialist product teams.

Economics04

How to calculate the ROI of an AI system before you build it

A constraint-first method for valuing capacity, profit and operating savings before committing to a build.

The technical stack

A complete technical arsenal, applied with precision.

Models, agents, telephony, ad APIs, software and infrastructure - assembled around the outcome.

ClaudeGPTHermes AgentOpen ClawPythonTypeScriptCustom APIsTwilioElevenLabsMac mini fleets
Meta Ads APIGoogle Ads APIGoHighLevelSupabasePostgresVercelAWSWebhooksZapiern8n
Outcome-led architecture

The right combination, designed as one coherent system.

Build, Ship & Scale

Start with the highest-value opportunity

What should your businessbe able to do next?

Tell us where the operation is constrained. We’ll explore the system that could change it.

Tell us what to automate