USE CASES
What companies automate with AI agents
AI agents work best on recurring work that can be described with rules and examples. Below are typical processes to start with. Every solution is built around your process, and decisions that are yours stay yours to approve.
Customer enquiries and replies
The agent reads an incoming enquiry, finds the answer in your guides and past replies, and drafts a response in your tone. A person reviews and sends it.
Preparing sales quotes
The agent gathers the client's details, your price list and similar past quotes, and assembles a draft quote that only needs a final review.
Document review
Contracts, invoices or applications are checked against agreed rules. The agent flags deviations and missing information; a person decides on the exceptions.
Report preparation
Recurring monthly, project or client reports are compiled from existing data into one consistent format, with references to where every number came from.
CRM data processing
The agent cleans, enriches and structures records. When a field is missing or contradictory, it becomes a question rather than an assumption.
Internal knowledge search
Employees ask in their own words and get an answer based on your documents, with a reference to the source so the answer can be checked.
Order and project follow-up
The agent tracks deadlines and statuses, prepares reminders and weekly summaries, and highlights what needs attention.
Email and document classification
Incoming emails and documents are sorted into the right category and routed to the right person or the next workflow stage.
Moving data between systems
When the same information is copied by hand from one tool to another, an agent can do it — provided the systems can be accessed, for example through an API.
Your process isn't on the list? That doesn't mean it won't fit. In an intro meeting we'll tell you honestly whether AI is the right solution.