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Use Cases
See which decisions your team can make faster and with confidence
Examples of AI decision systems working on top of your data. The system prepares the numbers and the options, your team makes the call.
Sales
Price every deal with the whole picture
For owners and commercial teams who price, quote and sell every day.
Complex quotes in minutes, with margin shown
A specialist assembles each complex quote by hand. The client waits, errors slip in, and you learn the margin after the deal.
Your team gets a quote built from price lists and past deals, with the margin shown before it goes out.
- Built on
- ERP, price lists, past quotes
- Your team decides
- Final price and discount
25–75%
Operations
Plan before it costs you
For operations leaders who plan stock, capacity and investment.
Buy the right stock at the right time
Buyers order from habit and spreadsheets. Cash sits in slow stock while fast items run out.
Your team sees what to order and when, balancing stockouts against cash tied up in stock.
- Built on
- ERP, sales history, supplier lead times
- Your team decides
- Which purchase orders to place
up to 65%
Healthcare
Be there at the right moment
For clinic leaders. Your team stays in control of every patient contact and clinical decision.
Know who comes next
Reminders and campaigns go to everyone, so the patient who needs a visit is missed or gets the wrong message.
Your team reaches the right patient in time, with the right message.
- Built on
- Visit history, scheduling, EHR/EMR exports
- Your team decides
- Who to contact, and how
19.3% → 15.9%
Consulting
Scale your expertise
For consulting firms that want their method to work between engagements.
Turn your method into a working tool
Your expertise is delivered by people, one client at a time. Capacity caps revenue.
Your method keeps working between engagements, proposing next steps from your logic.
- Built on
- Your framework and client data
- Your team decides
- The logic, and which advice goes out
Ventures
Launch your digital product
For founders and startup teams building a new digital product.
CTO and product management instead of developers
Developers need a spec to start. But in a product the requirements come from customers, not from a document.
A CTO and product management set the IT strategy and run development cycles. Early sales matter more than features.
- Your team decides
- What to test, and when to build
Many features, weak fit to market needs
Early traction that attracts capital
43%
What happens next
From your business problem to an implementation plan
- 01Share the problem
On a 30-minute call, tell us about the business problem or task you want to improve. Together we shape the approach
- 02Get a free prototype
We turn the agreed approach into a free prototype so you can see how the solution could work
- 03Plan the implementation
We define the implementation path and estimate the effort needed to build it
Choose how to start
Bring us the workflow, decision or scope you want to improve
Not ready for a call? Send us a message or follow our notes on LinkedIn
