AI workflow automation
The use of language models to execute multi-step business processes across connected tools, combining deterministic actions with steps that require judgment or language understanding.
In more detail
Traditional automation follows a fixed script: if this exact trigger fires, run these exact steps. It breaks the moment the input varies. AI workflow automation adds a language model to the loop so the workflow can read unstructured input, make a judgment, draft language, and choose a branch, then hand the deterministic parts (moving data, calling an API, updating a record) back to conventional automation.
The value shows up in processes that were previously too messy to automate: routing an inbound request, summarizing a document, deciding whether an exception needs a human, or drafting a reply. The AI handles the ambiguous middle, the connectors handle the reliable edges, and the two together cover work that neither could finish alone.
Where this shows up at Ceven
Ceven is an AI workflow automation platform in exactly this sense. You describe the outcome in plain language, Ceven builds the workflow, and it runs across 1,000+ connected tools with AI steps for the judgment and human-approval gates before anything consequential is written back. Every run lands in a full audit trail, and it is free to start.