# AI agents and workflow automation

> Customer-facing and internal agents for support, research, scheduling, and work that needs a reliable human handover.

Canonical page: https://ayroflow.com/services/ai-agents

Updated: 2026-10-19

## Start with the work people repeat

Ayroflow builds AI agents around a defined business workflow: the questions people ask, the information an agent may use, and the actions it is allowed to take. Typical starting points include website support, lead qualification, research, and scheduling.

## Shape the implementation

- Map the current process, users, and desired outcome.
- Prepare approved knowledge for retrieval and grounded answers.
- Connect the necessary tools and define action permissions.
- Agree human handover, failure handling, and launch checks.

## Agree scope before choosing the stack

Share your existing tools, sample questions, and examples of work that needs review. Delivery scope, timelines, model usage, and support arrangements are agreed for each project.

## Questions

### Can an agent use our business information?

Business knowledge can be part of an implementation. Its sources, access permissions, freshness, and handling of missing information should be defined during scoping.

## Related resources

- [B.R.A.I.N.](https://ayroflow.com/products/brain)
- [Plan an AI agent](https://ayroflow.com/docs/planning-an-ai-agent)

Contact: contact@ayroflow.com