Exact Online AI koppeling

From a single question to a real analysis

An ordinary question gives you an answer from your administration. An analysis goes a step further: the assistant combines multiple data points, such as outstanding items, due dates, revenue and purchase value, into an overview with a conclusion. You ask for it in plain language and get the insight back, without setting up a report yourself, placing columns side by side or exporting.

These deeper analyses use the Analytics plan, which is built to calculate across larger volumes of data. You run them on demand: you request the analysis when you need it. Below is what each analysis does, which data goes into it and what you get back.


The analyses at a glance

Cash flow forecast

 

Projects how much money comes in and goes out over the coming months, so you can plan ahead: is there room for a large purchase, or is a tight month coming up?

Which data
Your current cash position as a starting point, your outstanding accounts receivable and payable on their due date, and your average cash flow over recent months as a baseline.
What you get back
An expected balance per month, with a short conclusion about the month when it gets tightest.
Example: "Create a cash flow forecast for the next 3 months based on outstanding accounts receivable and payable."

Accounts receivable ageing analysis

 

Shows how long your invoices have been outstanding and which customers are building up payment risk. An ideal basis for your receivables follow-up: you know right away who to contact first.

Which data
All your outstanding sales invoices with their due date, grouped by customer.
What you get back
The amounts split by age (0 to 30, 30 to 60, 60 to 90 and 90 days or older), with the biggest risk items highlighted.
Example: "Give an ageing analysis of my accounts receivable and name the biggest risk items."

Gross margin per product group

 

Shows your margin per product group and reveals where it drops the hardest, as support for pricing and purchasing decisions.

Which data
Your revenue per product group and the associated purchase value over the chosen period.
What you get back
The gross margin per group, with the sharpest decliners highlighted.
Example: "Calculate my gross margin per product group and show where it drops the hardest."

Costs year over year

 

Compares your costs with the same period last year and points out the biggest deviations, so you quickly see which items are out of line.

Which data
Your actual costs per general ledger account for the chosen period and for the same period a year earlier.
What you get back
The costs per general ledger account next to last year, with the biggest differences explained.
Example: "Compare my actual costs per general ledger account with last year and explain the biggest deviations."

Smart paying

 

Determines which invoices you can pay later without missing a due date, so you keep money in the bank longer.

Which data
Your outstanding accounts payable with their due date.
What you get back
An overview of which payments you can postpone and until what date.
Example: "Which suppliers can I pay later without missing a due date?"

Working capital in key figures

 

Calculates your DSO (how quickly you get paid on average), your DPO (how quickly you pay yourself) and your working capital need, and compares with last quarter.

Which data
Your outstanding accounts receivable and payable, your revenue and purchases over the period, and your stock if you keep it, plus the same figures from last quarter.
What you get back
Your DSO, DPO and working capital need, with the change compared to last quarter.
Example: "Calculate my DSO, DPO and working capital need and compare with the previous quarter."

This is what an answer looks like

By way of illustration, here is a worked-out ageing analysis. You get the other analyses back in the same clear format: first the figures, then a short conclusion.

An ageing analysis of accounts receivable as an answer in the chat, with the amounts per age category and a conclusion
An ageing analysis of your accounts receivable: the amounts per age category, with the biggest risk items highlighted.

Asking follow-up questions on your analysis

An analysis is not an endpoint. You can ask follow-up questions on it right away, without rerunning the analysis. For example:

1"Give an ageing analysis of my accounts receivable."
2"Focus on the items older than 60 days."
3"Draft a payment reminder for those customers."

This is how you go from an analysis to a concrete next step. If that becomes a writing action, such as drafting a reminder, it comes ready as a draft that you approve first. Want to review an analysis more often without requesting it again? Then you turn it into a dashboard.


Frequently asked questions

Are these analyses available in every plan?
The deeper analyses use the Analytics plan, which is built to calculate across larger volumes of data. Single questions and short overviews can be asked in every plan.
How current are the figures in an analysis?
Table of contents