Process automation with AI
Salto Angel automates the repetitive part of an operation — reading, routing, drafting, checking — and leaves your team on the cases that need judgment.
Automate a step, not the whole company
We pick a process with a clear input and a clear done: a form, a document, a queue of messages, a deploy. AI helps where the step used to need a person to read or decide a routine case. The rest of the company stays as it is until that step is stable.
Where it usually lands
Back-office documents, lead routing, first-response support, proposal drafts, and software checks. Language models draft and classify. Rules and classic models cover what must be exact. Computer vision enters when the input is an image or a scan.
People stay accountable
Every automation has an owner and a path for the weird case. We log what ran, what was skipped, and what a person changed. That is how a growing company trusts the system enough to let it touch real work.
Software that checks itself
Cauca QA is automation applied to your own product: tests that run on each deploy so a release does not depend on someone clicking through the same screens. Other processes get the same idea, fitted to their tools.
Related products
Frequently asked questions
What processes can you automate with AI?
Repetitive ones with examples: classifying requests, extracting fields from documents, routing leads, drafting a first answer, or checking software after a change.
Will this replace the team?
It removes repetitive steps. People keep the exceptions, the relationship, and the decisions the automation is not allowed to make.
Do you connect to the tools we already use?
Yes. Automation that cannot read or write your systems does not finish the job. Integration is part of the service.
How do we know it is working?
With a definition of done, a sample of cases you review, and a log of what the automation did. We do not call it done because a demo looked fluent.