30 tasks an AI agent can do for you
An AI agent can take over repetitive operations, from handling enquiries and updating CRM records to reports, documents, and reminders.

Employees often spend much of their working day not on complex decisions, but on repetitive actions: receiving an enquiry, clarifying details, creating a request, checking information, scheduling a meeting, preparing a document, sending a notification, or reminding a client about payment. These are precisely the processes an AI agent can perform automatically and consistently.
For example, it can respond to initial enquiries, identify the client’s needs, distribute requests among employees, update CRM data, check service availability, prepare a personalised offer, create tasks, book a consultation, and monitor the request’s subsequent status.
An AI agent can also support internal processes: compile daily reports, analyse metrics, identify overdue tasks, remind employees about important actions, sort documents, prepare email drafts, and notify a manager about problems. Its permissions, data sources, and authorised actions must all be defined in advance.
The main value of an AI agent is not that it completely replaces an employee, but that it takes over repetitive operations. People retain control over important decisions, while the team gains more time for sales, product development, and client work.
A catalogue of AI agent use cases in business
I have prepared a detailed PDF guide containing 30 practical scenarios, each with a task description, required integrations, expected outcome, implementation complexity, and recommendations for a secure launch.
