Snap delivery notes and invoices
Photograph a delivery note or invoice to draft the record and check it against the PO.
Service · AI adoption
AI adoptionStart from your workflow, so AI actually saves time
We do not start with technology. We find the most time-consuming, rule-based work first, then put AI into it.
How we work
Three principles for AI adoption
01
Start from the workflow
Pick repetitive, rule-based work where the data already exists; results show fastest.
02
AI drafts, people confirm
Anything the AI produces is a draft until a person confirms it.
03
Numbers belong to the system
Exact figures are calculated by the system; the AI only decides what to look up.
What AI can do for you
From paperwork to decisions, hand these to AI
LINE messages become orders
Customers order on LINE; the AI turns it into a draft order.
Automatic bank reconciliation
Import bank statements and match payments to receivables automatically.
Advanced demand forecasting
Factor in weather, holidays and promotions to forecast orders per store.
Anomaly and fraud detection
Falling margins, unusual voids, rising supplier prices: flagged for you.
Daily operations briefing
Yesterday's sales, anomalies and today's to-dos on LINE or email every morning.
Suggested rollout
Start small, expand once it works
01
Map the workflow
Find the most time-consuming work and the data you already have.
02
Pick a starting point
Choose the process where results will show fastest.
03
Pilot
Run it on real data and measure the time saved.
04
Expand and integrate
Once it works, extend to other processes and systems.
Our own product
AI Native ERP: these principles, built into an ERP system
Ask about your numbers in plain language, every figure cites its source, meeting notes become to-dos, and the AI reads but never writes.
See AI Native ERP
FAQ
FAQ
Where should a small business start with AI?
Start with repetitive, rule-based work where the data already exists, such as document entry, reconciliation or meeting notes. Make it a draft-and-confirm flow first, then expand once you see results.
Will the AI make mistakes?
It can, which is why anything it produces is a draft until a person confirms it, and exact figures are calculated by the system while the AI only decides what to look up.
Do we have to replace our current system?
Not necessarily. AI features can be added alongside your existing system through APIs, or you can adopt AI Native ERP if it fits your workflow.
Can the AI see all of our data?
By design it only reads data the signed-in user already has permission to see, following your existing permission rules.