01
Repetitive processes
Stable sequences that can run with less manual intervention.
AUTOMATION
Automation when rules are enough. AI when context is required.
We do not turn every workflow into an agent. We combine deterministic automation and artificial intelligence according to what the process actually needs.
Analyze a processPROCESSES
What can be part of a workflow
02
Tool synchronization
Moving information between systems when integrations support it.
03
Classification & extraction
AI where content requires interpretation and simple rules are not enough.
04
Context preparation
Retrieving and organizing information before a task.
05
Human escalation
Approval or intervention points where automation should not decide alone.
06
Traceability
Records of events, actions and exceptions according to scope.
DECISION
When should you use automation and when AI?
If a task can be described with stable rules, traditional automation is usually enough. AI becomes useful when the process must interpret language, use context, generate content, classify complex information or choose between alternatives that are not fully deterministic.
| Need | Approach |
|---|---|
| Stable rule | Automation |
| Language interpretation | AI |
| Access to tools | Tools / integration |
| Internal knowledge | RAG / context |
| Reusable action | Skill |
| Oversight | Dashboard / logs |
QUESTIONS
Frequently asked questions
We use automation for stable rules and AI when the process needs interpretation, context, generation or decisions that are not fully deterministic.
No. Adding an agent unnecessarily increases complexity. We combine rules, integrations and AI only where each layer adds value.