Brixon AI
Custom Agents on your AI foundation.
Once the AI Delivery System is in place, we build the workflows and agents your team needs on top of it: in your environment, behind human approval. Each with its own scope, approval boundary and acceptance test.
- After the foundation audit
- Your environment, your systems
- Scoped per engagement
The foundation, then the workflow.
The AI Delivery System installs the shared state every person and every AI environment works from. Custom workflows and agents are what runs on it afterwards. The order is the argument: automation distributes the quality of its inputs.
AI Delivery System
The shared foundation your whole team works from.
- One approved brand context and the rules that decide which version is current
- Environments, access and a controlled update path
- A short set of shared Skills and managed connections
- A named internal owner with a runbook
Software-only infrastructure, delivered work with a completion test.
See AI Delivery SystemCustom Agents
A specific recurring task, built on the audited foundation.
- Shaped to your process, your inputs and your approval gates
- Wired into the systems your team already works in
- Its own scope, approval boundary and completion test
- Never changes the BrandOS, the access model or the registry
Scoped and priced per engagement; no number is quoted before the scope exists.
Four things a generic tool cannot give you.
Runs in your environment
Deployed in your own accounts, on your keys and your data, on the foundation AI Delivery System installed.
Wired into your systems
Connected to the internal tools, databases and workflows your team already works in, through the managed connections of the foundation.
Shaped to your process
The task, the inputs, the approval gates and the boundaries are built around how the work actually happens in your house.
Governed and owned
A human approval boundary, explicit limits on what it may reach, and a person who keeps it current. Nothing runs on its own.
From foundation to a live workflow.
Implementation only ever follows a foundation that is installed and tested. That keeps every workflow on the same current context, the same access rules and the same owner.
Foundation installed and audited
Prerequisite · AI Delivery System
The AI Delivery System is in place: approved BrandOS, environments and access, the first Skills and connections, a named owner. The audit has passed.
Scope the workflow
We define exactly what it owns: the task, the inputs, the outputs, the approval gate and the boundaries it must not cross.
Build
We build the workflow or agent on your foundation, with the approval logic and guardrails the task needs.
Integrate and test
We wire it into the systems in scope through the managed connections, then test it against real work, not a demo.
Hand over
A completion test, a clean handover to the owner inside your company, and the gaps written down where they can be seen.
Questions before a build.
Do we need the AI Delivery System first?
Yes. Custom workflows and agents are built on the installed and audited foundation. Without it, every workflow would start from a different context, different access and nobody owning updates, which is the problem the foundation removes.
Whose infrastructure does it run on?
Yours. The workflow runs in your own accounts and environments, on your keys and your data, through the connections the foundation manages. You keep your own AI subscriptions; we host no models.
Which use cases qualify?
Recurring tasks with a clear input, a clear output and a person who approves the result: CRM upkeep after meetings, drafts from voice notes, first-line support replies. The use-case library shows examples.
How is it priced?
Scoped and priced per engagement. It depends on the task, the systems it connects to and the approval boundary it needs. No number is quoted before the scope exists.
What about data security and compliance?
Because it runs in your environment on the foundation, your data stays under your control, every connection reaches only what it is meant to reach, and the limits are written down and reviewable.
Intro call: 30 minutes
on one concrete workflow.
Bring one concrete workflow. We tell you where it stalls, what a shared system would change about it, and whether we are the right people for it. If not, we say that too.
Free intro call30 minutes · free · one concrete workflow, one assessment