Use cases
skai in practice
Not the brochure, but what actually happened
Every use case on this page describes a starting point and what changed afterwards. The companies come from different industries, but the pattern is the same: knowledge sits scattered across systems, routine enquiries tie up people, and what was agreed in a meeting disappears into someone’s notes.
In the AI wiki of a nationwide organisation, a chatbot answers questions about forms and processes. In the housing sector, the same building block handles routine tenant enquiries. On the construction site, minutes with tasks are created without anyone taking notes.
The same platform sits behind all of them: answers from your own knowledge, meeting notes for minutes, workflows for recurring processes and the chatbot for communication with the outside world. All of it sits in every account, see pricing.
Construction & property development
AI meeting notes on the construction site
- Minutes are created automatically instead of by hand
- Clear tasks and responsibilities after every meeting
- Meeting knowledge becomes a searchable knowledge base
Housing sector
Digital assistant for customer communication
- Noticeably shorter response times for standard enquiries
- Appointments and damage reports handled digitally
- The team has room for complex matters
Social services · nationwide
AI chatbot as an internal Wikipedia
- Faster onboarding of new employees
- Consistent forms and standardised processes
- A central knowledge store for all branch offices