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Barion AI

Build with Barion / 03

AUTOMATE THE WORK.NOT THEACCOUNTABILITY.

Operational work that is repetitive and well understood is a good candidate for an agent. Handing it to an unbounded model is not the same thing, and the difference is entirely in the controls.
Autonomy
Bounded by policy
Approval
On consequential actions
Accountability
Stays human

The spectrum

Four things, one overloaded word

The useful question is not how intelligent the system is. It is who holds authority, and what happens when the system is wrong.

  • Assistant

    Behaviour
    Suggests
    Authority
    None. A person does everything.
    When it is wrong
    A bad suggestion is ignored.

  • Copilot

    Behaviour
    Helps execute
    Authority
    A person drives every step.
    When it is wrong
    A bad step is caught in the moment.

  • Workflow automation

    Behaviour
    Follows fixed rules
    Authority
    None. It cannot deviate.
    When it is wrong
    An unanticipated case breaks it or passes through wrongly.

  • Controlled agent

    Behaviour
    Evaluates context and acts within policy
    Authority
    Bounded, with approval gates on consequential actions.
    When it is wrong
    It stops, logs and escalates to a named human.

Readiness

What makes a workflow a strong candidate

The more of these are true, the better this goes. Where several are missing, the honest answer is to fix that first.
01Clear triggers
You can say precisely what starts the work. "When someone notices" is not a trigger.
02Accessible data
The information the agent needs can be reached programmatically and is reliable enough to act on.
03Defined tools
The systems it touches are known, and access can be granted per operation rather than wholesale.
04Repeatable decisions
The judgement follows a pattern often enough that the pattern can be written down and checked.
05Explicit permissions
You can state what it may do, and more importantly what it may never do.
06Known exceptions
The ways this work usually goes wrong are understood, so the agent can recognise them.
07Escalation owners
A named person for each failure class, agreed before deployment rather than during an incident.
08Measurable outcomes
You can tell afterwards whether a run was correct. Without that, improvement is guesswork.

When not to

Where we will tell you not to do this

An agent applied to a process nobody understands does not fix the process. It industrialises the confusion and adds a machine to blame.
A gate is only a control if something is genuinely held by it.
  • Ownership of the workflow is undefined
  • The underlying data is unreliable or incomplete
  • Actions are irreversible and cannot wait for approval
  • Permission boundaries cannot be drawn
  • There is no audit requirement and nobody would review a log
  • The process is not understood well enough to write down

Who does what

The split

We build the boundaries and the evidence trail. You define what the work is and who answers for it.

Barion AI contributes

  • Permission and tool-access design
  • Policy evaluation before any action
  • Approval gates on the critical path
  • Action logging and reporting
  • Retry limits and failure handling
  • Escalation routing

You contribute

  • The workflow and its triggers
  • Tool and system access
  • What the agent may never do
  • Who approves and who is escalated to
  • The measure of a correct outcome

The product this capability is shaping is Barion Agents, which is not yet available. Engagements now inform how it is built.

Continue

Where to go next

Assess an agent workflow

Bring a workflow you already understand well. We will go through the readiness list with you and say plainly whether it is a candidate yet.

Assess an agent workflow All four paths