AI agents where fixed rules fall short.
An agent reads documents, finds the context and works through several steps in a row.
Not every process needs an AI agent.
Standard automation handles fixed rules more reliably.
- Variable input
- The document arrives in a different form each time.
- Several steps
- The task passes through several systems.
- Context
- The data sits in several sources.
- Exceptions
- A rule cannot cover every case.
An agent in production has firm limits.
- One task
- A defined task, not a general role.
- Limited access
- Only the data and tools the task needs.
- Human approval
- A person confirms sensitive steps.
- Audit trail
- Every step can be traced.
Inside the systems you already have.
It reads emails, sorts requests and prepares material from ERP and CRM.
An agent is a layer, not the whole solution.
Discuss a suitable agent scenario.
An introductory 30 minutes on your specific situation. Together we decide where it makes sense to start.