An AI assistant that knows your customers
Assistant
Ask about your own customers, tasks, hours, complaints and prices - in Danish or English. Answers come only from what is recorded in the system.
Try it: pick a question or write your own. The demo is pre-scripted with invented customers and figures - the real assistant looks things up in your own data.
Answers from your own data - not from the internet
Answers link to the customer, the complaint or the task they are based on. No estimates, averages or projections when the figure is not recorded.
The question is read
In Danish or English
The assistant looks it up
Customers, tasks, hours, complaints
The answer is written
Only from what was found
It only sees what you are allowed to see
Accounts and payroll require two-factor sign-in, in the assistant too. Conversations are kept in an audit log along with the lookups that were made.
Customers and locations
Access
Tasks and hours
Access
The customer’s accounts
No access
Changes only with your approval
Nothing is written until you press Confirm. Quotes are only ever drafts, and mails only go to the customer’s own contacts.
Book a follow-up with Hotel Marina
Written in the chat
The assistant shows a card
Customer, date and owner
You press Confirm
Only then is it saved
And the rest of what the assistant does
A customer brief before the meeting
One question gives an overview of prices, visits, hours, complaints, open cases and quotes on the customer. A CSV from one question
Ask for a list of customers or complaints, and get one file to download rather than rows in the chat. Complaints and repeat problems
Who complains the most, about what, and whether it is the same as last time - per customer, per employee and month by month. Hours against budget
Budgeted against approved hours month by month at a customer, and one employee’s hours split by month, customer or task type. Answers from your documents
With document reading switched on, room directories, contracts and the staff handbook can be searched, and the answer cites the page in the PDF. Sales and pipeline
Which deals are warm, which are missing a next step, and what the forecast looks like.