Deciding on yesterday’s numbers
The business data exists, but scattered: some in the ERP, some in accounting, some in a spreadsheet one person maintains. We pull it together every night, apply a single definition per indicator, and send you a report written in business language rather than a table. And when something moves out of the ordinary, you hear about it then — not at quarter close.
Signs you need this
- Monday morning goes into building the weekly report.
- Sales, production and management keep three sheets that disagree.
- A key account cut its order and nobody noticed until close.
Management
3 automations in this area
Automated reporting
The numbers pulled together and explained, without spending Monday morning in Excel.
- In
- Sales, production, stock or cash data spread across several sources.
- What it does
- Pulls it together every night, calculates your KPIs and has AI write a summary of what changed and why.
- Out
- A report in your inbox every week, written in business language rather than tables.
- Human review
- You decide which indicators matter and which thresholds are normal.
- Connects to
- ERP, Excel or Google Sheets, databases, ad platforms and email.
- Outcome
- Decisions based on yesterday’s data instead of last month’s.
- Example
- Every Monday at 7am an email arrives with the week’s sales, margin by product family and the three variances worth a look.
Management dashboards
A dashboard with the indicators you actually use, always current and defined the same way for everyone.
- In
- Your business data sources, each in its own format.
- What it does
- Unifies and cleans the data, applies a single definition per indicator and refreshes the dashboard.
- Out
- One dashboard the whole management team uses, with history and the ability to drill down.
- Human review
- Indicator definitions are agreed with you and documented.
- Connects to
- ERP, CRM, accounting, databases, Looker Studio or Power BI.
- Outcome
- One single version of the numbers, instead of three spreadsheets that disagree.
- Example
- Management, sales and production stop keeping their own sheet and look at the same dashboard in the Tuesday meeting.
Alerts and anomaly detection
We tell you when something moves out of the ordinary, not once it is already a problem.
- In
- Day-to-day business activity: sales, margins, collections, stock, incidents.
- What it does
- Learns what normal looks like in your company and detects drops, spikes, odd margins or figures that do not add up.
- Out
- An alert with the context and the reason, in the channel you already use — not another report.
- Human review
- You tune the sensitivity so it does not become noise nobody reads.
- Connects to
- ERP, accounting, CRM, databases, email and Slack or Teams.
- Outcome
- Problems spotted in days instead of at quarter close.
- Example
- A key account drops its usual order by 40% and the sales team gets the alert that same week.
Outcomes and examples are illustrative estimates. The specific target for your process is agreed after the diagnosis, in writing.
Do you recognise any of these processes?
Tell us which one costs you the most time. In a short call we work out whether automating it makes sense and, if it does, we send you the diagnosis with the scope and the quote in writing.
Request a diagnosis