Sort, summarise and suggest the next step
Reduce reading and data entry while a person keeps the decision.
We ask first: How many cases come in? Who decides the priority today?
Examples
Examples of what we can help you improve.
Common problem types, not customer cases. The right solution depends on your situation, and sometimes the answer is a simpler routine instead of AI.
Six common starting points
Under each example are the questions we usually start with. The answers decide whether there is a reasonable first pilot.
Extract, check and route information
Turn invoices, forms, contracts or reports into a traceable flow.
We ask first: Which information is retyped by hand? Where do errors occur?
Make the right information easier to find
Give source-grounded answers with permissions and a clear path for uncertain cases.
We ask first: Where are the answers today? Who may see what?
From conversation to ownership and follow-up
Compile decisions and proposed actions without hiding who owns them.
We ask first: What happens after the meeting today? What gets lost?
Highlight deviations that need attention
Gather recurring signals and prepare a situation overview for human judgement.
We ask first: Which signals are followed today? Who acts when something deviates?
Reduce copying between tools
Automate clear transfers and make errors or missing information visible.
We ask first: Which systems are involved? What is copied every day?
Explore a concrete example
How AI works with clear controls.
Follow a late delivery, an IT incident or an answer from internal knowledge. Try the controls and explore thirty workplace situations.
From example to your own starting point
1. Recognise the problem type
It is enough that you see the similarity. Nobody needs to know the solution in advance.
2. Take the value check
Sixty seconds that show where a first candidate might be.
3. Tell us how you work today
In the first conversation we narrow down the problem, the owner and the next decision.
Don't see your situation here?