- Sorting incoming emails and requests, and routing them to the right person.
- Copying data between tools: forms to CRM, orders to invoicing, spreadsheets to databases.
- Reading documents (invoices, contracts, forms) and extracting the key information.
- Drafting standard replies, quotes and follow-up messages for a person to approve.
- Producing weekly reports and summaries from several sources.
01Repetitive tasks AI handles well
02How to choose the first task to automate
Pick a task that is frequent, follows clear rules most of the time and has a measurable cost. A simple score helps: hours per week × number of people × how often mistakes happen. Start with the highest score that does not involve sensitive decisions.
03Five steps to automate it safely
- Map the task step by step, including the exceptions people handle today.
- Collect real examples (emails, documents, cases) to test against.
- Automate the common path and send exceptions to a person.
- Run in parallel for a short period, comparing the AI's output with your team's.
- Measure and extend: track time saved and errors, then take on the next task.
04What not to automate (yet)
Keep people in charge of decisions with legal, financial or personal consequences, and of conversations where empathy matters. AI should prepare the work and suggest, while a person decides. See how we build AI automation with human oversight built in.
05Frequently asked questions
- Do we need technical staff to automate tasks with AI?
- Not necessarily. Simple automations can be built with no-code tools. Critical or complex processes are better built and maintained by specialists.
- How quickly can we see results?
- A first automation on a well-defined task is often live within a few weeks, and its time savings can be measured from the first month.
- Will AI replace our employees?
- In practice it removes the repetitive part of their work, so they can spend more time on customers, sales and decisions.