Four things an agent cannot infer on its own.
A model that only describes the happy path is not enough. What makes an agent usable is everything around it — the cases your teams handle without thinking about them.
Flow and exceptions
The path a case actually takes, including the detours that exist because reality required them.
Roles and approvals
Who is allowed to decide what, and at which point a human has to look at it.
Documents and sources
Which system holds the authoritative record for this step — and which does not.
Expert rules
The written and unwritten rules your teams apply, captured as part of the model.
Context in, result back, entry written.
It receives the context of its step
Not the whole system. The role that applies here, the sources released here, the rule in force here.
It acts inside the model
The agent is a task in the process, not a service running alongside it. It cannot skip a step that the model requires.
It hands the result back
Into the same case, with an audit entry: input, model, version, result, role and timestamp.
The difference to an assistant integration. The agent is not given access to the process. The process is given access to the agent. Governance is therefore part of execution, not a review that happens afterwards.
BPMN 2.0, and nothing on top of it.
Models are written in BPMN 2.0 and stay exportable. They can be read, versioned and reviewed without DYNAMIXS.AI — by your own architects, by an auditor or by a tool you already use. There is no proprietary format to migrate out of.
Changes are made in the model. In most cases that means no development work, no release cycle and no dependency on us to adjust a rule.
Bring one real process.
We will walk through where an agent fits in it, what it needs to be approved and what operating it requires.
Book a conversationDYNAMIXS.AI GmbH · Munich · info@dynamixs.ai · +49 89 452136-22