Not a chatbot. An operations layer.

AI agents that make your next hire irrelevant.

Your next €65k hire just inherits the backlog and fixes nothing that compounds. We build one operations layer inside your own environment that runs the work your team does by hand today. You own it. You keep the keys.

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Mission Control ● live · 19:12 CET
Revenue today
€19.000
ROAS · all-time
3.42×
MTD · €10M target
€2.64M
Inbox triageflagging VIP refundsLive
Ad opsscaled top set +18% budgetLive
Win-back flowidle · awaiting triggerIdle
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90%+
Accuracy, trained on your voice
conditional on input budget
60+
Automations in the build
+ 80 sub-agents
24/7
Autonomous, always on
human-in-the-loop
30
Days of aftercare included
+ 24/7 debug agent
The problem

Revenue is climbing. Operations are breaking.

50 orders a day became 500. 1,200 tickets a month, by hand. An agency at €15k a month that never compounds. It is not your product that is stalling. It is your operation, and one more hire just multiplies the chaos.

95%
of enterprise GenAI pilots show no P&L impact
MIT NANDA · 2025
12,000
AI agencies exist; ~60% under 5 projects
SuperDupr · 2026
47%
say a core function stops if their vendor walks
AI Assembly Lines
40%
of enterprise apps carry task AI agents by 2026
Gartner · 2025
Why most automation dies

Not a chatbot.
An operations layer.

A chatbot answers questions. This does the work. Four ways automation dies, and how the Foundation Build answers each.

Failure 01

Automating a broken process

"100× a broken process is 100× the mess."
The build's answerDiscovery and scope first. We design the process before we deploy a single agent.
Failure 02

The demo-to-production gap

"The demo worked because it was built for the happy path."
The build's answerHardened, audit-trailed, trained on your edge cases to 90%+ accuracy. Built to run, not to demo.
Failure 03

Vendor lock-in

"A core function stops the moment the vendor changes pricing or walks."
The build's answerOwned, not rented. It lives in your environment and stays yours. You keep the keys.
Failure 04

The 30-day cliff

"By day 30 it is abandoned, or a high-maintenance liability."
The build's answer30 days of aftercare, a 24/7 Telegram debug agent, and 9 documented playbooks.
The Foundation Build

An operations layer in your own environment. Built once. Yours forever.

60+

Automations

The repetitive work your team does by hand, running on its own.

50+

Core agents

Trained on your voice, offers and edge cases.

80+

Sub-agents

Specialised workers behind the scenes, orchestrated.

9

Playbooks

Documented department SOPs your team actually keeps.

One Mission Control. Eight scattered data sources, one screen you own.

Containerized, firewalled, audit-trailed. We deploy and harden it. You keep the keys. Not a demo. A screenshot from the system you'll own.

Open Mission Control
How it ships

Three steps. Zero handoff drama.

Discovery & Scope

We map your operation and design the process first, so we never automate chaos. You see exactly what it will and will not do.

Build & Harden

We build it in your environment, train it on your voice to 90%+ accuracy, and harden it: containerized, audit-trailed, exec allowlists.

Deploy & Own

We hand you the keys with 9 playbooks, 30 days of aftercare and a 24/7 debug agent. Then it compounds, quarter after quarter.

Deploy. Own. Compound.
The math

A new hire costs $65k a year, forever. This you build once and own.

Most chosen
Foundation Build
€20k

A one-time, client-owned AI operations layer. No SaaS subscription. No retainer. No chatbot.

  • 60+ automations, 50+ voice-trained agents, 80+ sub-agents
  • 9 department playbooks + one owned Mission Control
  • Hardened: containerized, firewalled, audit-trailed
  • 30 days aftercare + a 24/7 debug agent
  • You keep the keys. No long-term contract.
Book Discovery Call
€15k a month, every month again. Nothing compounds. A build does.

The €15k/mo agency that never compounds. The $65k/yr FTE you pay without flinching. The build costs less, never retires, and compounds instead of resetting.

2 deployment slots · Q3 2026
Who builds it

Operators first.
Consultants never.

We have watched the freelance install break after three weeks and the agency bleed you dry. We tell you exactly what it will do, then build it inside your house. Amsterdam × Dubai.

LG
Leon Ghatas
Founder & Chief Architect
DS
Damian Schneider
CEO & Strategy
TO
Trevor Onueseke
COO & Operations
Answered before you ask

The objections, answered.

Isn't this just a ChatGPT wrapper?
No. ChatGPT answers questions. This does the work, inside your environment, trained on your voice and edge cases, hardened as infrastructure. You own it. It is not rented and it does not reset.
What if it strands me after handoff?
There is a named, accountable path: 30 days of aftercare, a 24/7 Telegram debug agent, and 9 documented playbooks. You bring the style. We tune the tech.
I prefer a trial first.
Reasonable, post-Klarna. That is why we lead with a screenshot from the system you'll own, never a claim we can't back. Start with Discovery and Scope: a low-risk entry that designs the process before anything is deployed.
What does the 90%+ accuracy depend on?
Hitting your input budget. The condition is the credibility: meet the training inputs and you land at 90%+ on your edge cases. Human-in-the-loop stays the point, never "set and forget."
Why owned instead of a subscription?
Because 47% of teams say a core function stops the moment a vendor changes pricing or walks. Owned, in your environment, you keep the keys. Nothing resets. Everything compounds.
Earned urgency
Waiting has a price. Stop paying it.

Every week without the layer is more manual work and capacity you pay for but don't get back. 2 deployment slots for Q3 2026.

Book Discovery Call See the live Mission Control