We audit what already exists.
We look at what you have today and which processes live only in your team's heads. No generic questionnaires — we come to understand your system.
We build AI systems that decide and act on their own — with a human approving every important step, limited permissions, and a log of everything they do. No shortcuts, no winging it. For teams about to put AI somewhere that matters.
ES · EN — Based in LATAM · 15+ years shipping software
Nobody arrives saying “I want an AI system.” They arrive saying “I have this problem.” Find yourself in the phrase — each tier has a clear deliverable, duration, and price.
“I have an idea, nothing built yet.”
From: a loose idea. To: clarity on what to build and with what.
Initial assessment — what to build first, a clear build-vs-buy call, and which tools to use.
“I built something with Cursor or Bolt and I'm scared to put it in front of real customers.”
From: a fragile prototype. To: reviewed code, ready for users.
Full review — code, security holes, architecture, and a clear plan for what to fix first.
“I need an AI doing real work, not a demo.”
From: plans on paper. To: a system running with real customers.
Build & launch — an AI system in real customer use, with a document your team can read and maintain.
“It's live and I need it to keep improving.”
From: a live system. To: a system that improves with every use.
Monthly retainer — one fixed point of contact, continuous improvements, and capability expansion.
— Start small, move fast, scale what works.
We look at what you have today and which processes live only in your team's heads. No generic questionnaires — we come to understand your system.
We turn those processes into clear rules a machine (or a new hire) can follow. The first deliverable is almost always a document anyone can read and review.
AI systems in real customer use, with a log of every decision, limited permissions, and a preview of the result before applying. No security shortcuts.
No client logos we can't name. Real code, commit history, changelogs. The evidence lives in the repo.
A system that decides which AI handles each task on GitHub and Linear — without the criteria living only in one person's head.
An AI that moves real money between crypto protocols to optimize yield — with safety brakes.
Not impressions per month or “happy clients.” Delivery metrics, auditable.
This is a fragment of the real text file that runs orch-agents. The criteria that used to live only in one person's head — which AI handles each situation — now lives in a file anyone can read and review.
templates:
tdd-workflow: [coder, tester]
feature-build: [architect, coder, reviewer]
security-audit: [security-architect]
github:
events:
pull_request.opened: github-ops
issues.labeled.bug: tdd-workflow
workflow_run.failure: quick-fix
agents:
routing:
bug: tdd-workflow
feature: feature-build
security: security-audit
default: quick-fix Real excerpt from the repository. Full version at github.com/be-automata/orch-agents.
We don't sell you our own platform. For each project we pick the tools that serve your situation — and we explain why before writing a single line. We serve the problem, not a specific tool.
Limited permissions, preview before applying, human review. Not a checklist at the end — it's the architecture from day one.
The bottleneck is rarely the AI. It's that your organization hasn't described its own work in a form a machine (or a new hire) can follow. Our first deliverable is almost always a document anyone can read and review.
30 minutes. We assess your case and give you a realistic timeline and architecture.
Within 5 days of the call. Architecture, phases, costs, tools chosen and why.
First launch in under 4 weeks from kickoff.
No pitch, no commitment. If we're not the match, we'll tell you who is.