Managed fleet deployment

You bought the AI. You never got the operating system.

Your team is drowning in delivery work while your AI subscriptions sit in a browser tab. Everyone bought the tools. Almost nobody got a working operating system out of them. We install one, wire it to the software you already run, and operate it every month.

Built on OpenClaw, the open source operations layer we run our own company on.
belken · governance loglive
From our own fleet, right now
0
Governed decisions on record, one line per action, and counting.
Content batch producedstagedfor approval
Nightly QA passchecks14 / 14
Model routed on cost gateloggedopus to sonnet
Governed  Logged  Auditable  Built on OpenClaw, open source  You own the whole thing  We run it every month  Work ships without you prompting  
What a fleet actually is

Real roles. Real jobs.
No magic.

A fleet is a set of governed AI agents, each with a defined job, wired into the tools your business already runs. Here is the same lineup we run ourselves.

Content operator

Produces and packages work every day. Scripts, drafts, images, and posts, built to your brief and staged for your approval before anything goes out the door.

Research analyst

Watches your market, your competitors, and your inbox for what changed, and hands you the short version every morning.

Operations agent

Runs the QA and reporting loops. Checks the work, catches what broke, and writes the daily summary you actually read.

Engineering agent

Ships against written specs. Builds features, fixes, and internal tools, with every change logged and open to review.

Voice arm

When the business needs phones, a voice agent answers calls, books jobs, and texts people back. This is where our AI Receptionist fits, as one part of the fleet.

Every agent is governed, logged, and auditable. Every decision it makes is written down. It runs on infrastructure you control, built on OpenClaw, which is open source, so you own the whole thing and nothing is ever held hostage.

The moat

We do not sell anything
we do not run.

This whole company runs on the fleet we just described. The walkthrough below is our own operation, recorded start to finish.

Fleet demo · recording in progress
The full walkthrough of our fleet operating on real work lands here shortly. Screen recorded, real jobs, real receipts.
LiveOur fleet builds and operates a real production video platform, not a slide deck.
NightlyIt publishes and QA checks its own output every night, with no one prompting it.
1,900+Governed decisions recorded in a database you can read, one line per action, and growing.
Fit

Who this is for,
and who it is not.

This is a big commitment on both sides. The fastest way to know if it makes sense is to read the second column first.

This is for you if

You already believe, and you want it running

  • You are an agency, e-commerce brand, B2B SaaS team, or dev shop doing roughly a million a year or more.
  • You already use AI and you want it operating, not chatting in a tab.
  • Delivery work is eating your team and you want that load off them.
  • You are ready to give a governed system real, scoped access to do real work.
This is not for you if

You are still deciding whether any of this is real

  • You need convincing that AI is real before you would spend a dollar on it.
  • You want a free pilot to see if it might work.
  • You want one automation set up once, and then goodbye.
  • You want another tool your team logs into, rather than a system that runs on its own.
What you get

Outcomes,
not features.

You are not buying software seats. You are buying three things that show up whether or not you think about them.

01

Work ships without you

Real output lands every day without you prompting anything. You open your laptop to work already done, not a blank chat box waiting for an instruction.

02

You can see exactly what happened

Any morning, you can read what your AI staff did and why. Every action is logged in plain language, so nothing is a black box.

03

It compounds

The fleet keeps its memory and gets better at your business every week. What you teach it once, it holds, so it is worth more in month six than in month one.

Week 1

First agents live on real work

We wire the fleet to your tools and put the first agents on actual jobs, not a sandbox demo.

Day 30

Full fleet operating

The complete fleet is running with governance and reporting in place, and you are reading its work every morning.

Pricing

Real numbers.
No contact-us games.

Scope decides where you land in each range. We tell you the number on the call, not after three follow-ups.

Deployment · one time

Build and install the fleet

$7,500 to $15,000
Depending on scope
  • Discovery of the workflows that cost you the most
  • Agents built and wired to your tools and accounts
  • Governance, permissions, and audit logging set up
  • First agents live on real work in week one
Book a fit call
Managed operation The product

We run and evolve it every month

$3,000 to $7,500 / mo
Month to month, cancel any time
  • We operate the fleet so it keeps shipping
  • New agents added and existing ones retuned as you grow
  • Weekly reporting on what the fleet did
  • A human engineer accountable for the whole thing
Book a fit call

Why managed? An unmanaged fleet decays. Agents drift, tools change, priorities move, and six months later it quietly stops earning its keep. Ours come with the operator who keeps it sharp, which is the whole point of the retainer.

Straight answers

The three things
that stop a booking.

01

Will it break things or go rogue?

Governance is the product. Approval gates on anything that matters, full audit logs, hard permission boundaries per agent, and a human engineer accountable for every fleet we run. It does what it is allowed to do, and you can read every move it made.

02

We tried ChatGPT and agents before, and it fizzled.

Tools fizzle because nobody operates them. This is staffed infrastructure with memory, verification rules, and a weekly operating rhythm behind it. The model was never the hard part. Running it every day was, and that is the part we take.

03

What about lock-in?

Open source foundation, your accounts, your hardware or cloud, and a documented handover included. You can fire us and keep the fleet running. Nothing sits behind a door only we hold the key to.

Questions

For the
skeptical buyer.

What do the agents actually do all day?

They run the recurring work your business depends on: producing content, watching your market, checking and reporting on the work, shipping against specs, and answering calls if you need it. Each one has a defined job and a log you can read any time.

What access do you need, and how is it secured?

Only the tools each agent needs for its job, scoped per agent, with permission boundaries and audit logs on everything. You grant access on your own accounts, and you can revoke it at any time.

Who is behind this?

Ken, a Principal DevOps Engineer with more than twenty years in infrastructure, who runs BelKen on the exact same stack we install for you. You are hiring the engineer who runs his own company on this.

How fast do we see value?

First agents are live on real work in week one. By day 30 the full fleet is operating, with governance and reporting already in place.

What does the retainer cover, and can we cancel?

Monthly operation and evolution of your fleet. We run it, retune it, add agents, and report on what it did. It is month to month, so you can cancel any time and keep what is yours.

Start here

If you want the machine, bring your messiest workflow.

Book a 30 minute fit call and come with the workflow that eats the most of your team's time. If we are the right fit, you will leave knowing exactly what a governed fleet does for it. If we are not, we will tell you.