Example: from email to updated system
- A customer emails an order change.
- AI reads the email and identifies the order and the change.
- Rules check whether the change is allowed.
- The workflow updates the order system and confirms to the customer.
- Anything unusual goes to a person with a summary.
Building blocks
- Triggers — new email, form, message, file or schedule.
- AI steps — classify, extract, summarise, decide.
- Deterministic steps — create, update, notify, through APIs.
- Human-in-the-loop — approvals and exception handling.
- Monitoring — logs, alerts and reports.
Which processes fit best?
High-volume processes with clear rules but messy inputs: order changes, intake forms, invoice processing, lead routing, onboarding and support triage. See our AI automation services.
Frequently asked questions
Is autonomous automation safe?
With limited permissions, approvals for important actions, logs and monitoring, it is controlled. Fully unsupervised automation is rarely needed.
Can it work with legacy systems?
Usually yes — through APIs, databases or file exports. Systems without any interface may need extra integration work.