Services / AI & automation
AI integration & workflow automation
Klyroo connects software and AI around useful business tasks. The starting point is a clear process: what comes in, what needs to happen, and where a person should review the result.
Connected workflows
Reduce repeated movement of information between tools. Map the trigger, required data, actions, and exceptions so each handoff has a clear purpose.
AI-assisted tasks
Explore assistants for search, drafting, classification, or summarising where they suit the problem. Decide what a useful answer looks like before adding a model.
Integrations
Connect websites, products, and existing systems through the interfaces they support. Consider permissions, failure handling, and how the team will know when a step needs attention.
How the work takes shape
Select one process, understand its inputs and exceptions, then build and review a focused workflow. Test with representative examples before deciding how widely to use it.
What to bring to the first conversation
Bring examples of the task, the tools involved, typical exceptions, and the person responsible for the final result. Those details help distinguish rules-based automation from an AI use case.
Questions, answered.
Does every automation need AI?
No. If a task follows clear rules, a conventional integration or automation may be enough. AI is useful when the task involves language or less structured information.
Can people remain involved in an automated workflow?
Yes. A workflow can pause for review, route exceptions, or require approval before the next action. The review points should be defined with the process.