Data comes after the decision
The team has to act before the report is ready, so decisions are made based on an incomplete picture of the company.
Service / Management reporting and consolidation
In the end, you can see where the company is making money and where it is just losing time and margin
If today the numbers come in too late, the report has to be pieced together manually and problems are only seen after the fact, that's what we're changing. We are building a view of the company that helps you react faster, keep an eye on receivables and make decisions on the fly.
Profitability, receivables, margin, variances and reports that help you act, not just summarise the month
Problem / report seen too late
The report appears when the decision has already been taken
In many companies the numbers formally agree, but they come too late to save anything yet. The owner reacts after the fact, because no one can see clearly beforehand what is breaking down.
Past due receivables grow unnoticed
Without regular ageing, the balance of late payments builds up over weeks. The risk of bad debt is only apparent when the amount is already large.
Management reacts after the fact
Instead of correcting the direction earlier, the company only reacts to the effect when the space for movement is already smaller.
Trends are hidden in many files
Indicators are scattered between ERP, Excel, departments and various reports, so it is difficult to quickly see the real direction of change.
Holding company without a common financial view
When several companies operate separately, management does not have a consolidated view of the group's performance - data has to be collected manually from each entity.
No one sees deviations right away
Without continuous monitoring and intelligent warnings, deviations are lost in the tables or noticed too late.
Facilities and management accounting
Analyse profitability where the result really arises
We build management reporting around the objects that matter for decision-making: customers, products, projects, channels, regions, departments and responsibility centres. This ensures that the company doesn't just look at the overall result, but can see which areas are realistically building margin and which are taking a toll on it.
Customer
Analysis of revenue, margin, cost of service, discounts, timeliness and profitability at the level of specific clients or groups of clients.
Product/service
Profitability analysis by product, service, assortment group or business line, together with the impact of costs and sales mix.
Project / order
Evaluation of the outcome at project or order level, including revenue, costs, time and operational loads.
Channel / region
Comparison of profitability and trends by sales channel, region, market or way of reaching the customer.
Department / cost or profit centre
Using responsibility, cost and profit centres to better control the outcome and assign responsibility for the numbers.
Salesman / custodian / team
Evaluation of the outcome and effectiveness at the level of the individuals or teams responsible for sales, service or implementation.
One set of objects, multiple decision levels
The same data feeds into metrics, trend analysis, AI alerts and profitability reports, so that management and teams are working on the same picture of the company.
Scope of service
Not more graphs, but figures on which decisions can be made
First we organise the data and select the numbers that really matter. Only then do we build reports, alerts and views that show where the company is making money, where it is losing money and where we need to react immediately.
Data and key indicators
We sort through the data sources and determine which indicators really help to make financial and operational decisions.
Reports and views
We design management reports and views for specific roles so that the most important information can be seen quickly and in context.
Profitability and margin
We build an analysis of the result at company, customer, product, service, project or channel level, so that you can see where the company is realistically making money and where it is losing margin.
Management facilities and centres of responsibility
We link reporting to management objects, cost centres, profit centres and other dimensions on which decisions are actually made.
AI and deviation warnings
We are adding mechanisms to track indicators, detect abnormal changes and send alerts so that the company does not notice problems until after the month has closed.
Analysis of causes and trends
We help you get down from the overall result to the cause: customer, product, channel, project, cost or process, and see the direction of change over time.
Consolidated and holding reports
Reporting covering several companies or group entities: consolidation of results, elimination of internal transactions and an aggregate view for the holding company's or investor's management.
Aging of receivables
Analysis of the age structure of receivables by time interval and counterparty. Helps monitor the timeliness of payments and identify bad debt risks earlier.
From a single source of data and well-chosen indicators to faster decisions on margins, costs, trends and profitability.
How AI and continuous monitoring works
AI keeps an eye on key indicators and warns before the problem grows
Instead of digging through reports every day, you get a signal when something worrying really happens. This reduces response time and limits oversights.
1
AI learns the normal rhythm of numbers
The system analyses historical data and recognises how margins, costs, sales, liquidity or operating efficiency typically behave at different times.
2
Detects deviations and trend changes
Rather than relying solely on rigid thresholds, AI compares current performance against a natural benchmark and can spot subtle changes that humans easily overlook.
3
Gives priority and sends a warning
Monitoring reduces false alarms and shows mainly those signals that are statistically and business relevant.
4
Helps to find the cause
Once a problem is identified, you can go down to the product, customer, project, channel, cost or team level and understand more quickly where the change is coming from.
Example of AI warning
Product margin falls faster than normal trend. Possible cause: an increase in the cost of purchase, a larger discount in the B2B channel or a change in the sales structure.
Effects and benefits
Reporting that helps you act sooner rather than explaining afterwards
Well-chosen metrics, clear views and AI monitoring shorten the path from data to decision. The company sees a change more quickly and can react before it translates into a larger margin, cost or result problem.
Faster decisions
The most important information is immediately visible, so the board and managers spend less time looking for data and more time acting.
Earlier detection of risks
AI and continuous monitoring help to spot abnormal changes before the problem becomes fully apparent in periodic reports.
Better control of profitability
The company sees not only the overall result, but also where margins are rising, where they are falling and which business objects are really affecting profitability.
Less manual analysis
The automation of monitoring, alerts and parts of the analysis reduces manual reporting and reduces the burden on the team.
Control of receivables and liquidity
Regular aging of receivables by time frame and counterparty allows for earlier response to payment risks and better planning of cash liquidity.
Common logic for management and operations
The same set of indicators, objects and data can support management and operational teams, improving consistency of decisions across the company.
Final result
The company sees the change earlier, understands the cause sooner and reacts before the problem hits the bottom line.
For whom
For companies that want to see profitability, ratios and variances faster
This service is best suited where a company no longer wants to manage solely on the basis of late interim reports. It provides the greatest value to organisations that need faster access to key figures, better visibility of margins and earlier capture of risks.
Growing and increasingly complex companies
For organisations where growth in the number of customers, products, projects or branches makes it difficult to assess real profitability and decision-making priorities.
Companies with multiple margin and cost objects
For businesses that want to analyse performance not only at a company-wide level, but also at the level of customers, products, channels, projects, teams or responsibility centres.
Companies with dispersed data and indicators
For organisations where data is scattered between ERP, sheets, departments and various reports, making it difficult to see the full picture quickly.
Management and operational managers
For those who make decisions about the margins, costs, prices, efficiency and direction of the business and need consistent metrics and quick context for action.
This solution makes sense if...
- The report appears when the problem is already visible in the result,
- the most important indicators are dispersed among many files or systems,
- it is difficult to see the profitability of a customer, product, project or channel,
- The team spends too much time manually assembling data,
- the company wants to detect deviations and analyse trends earlier rather than only after the period closure.
FAQ
The most common questions about reporting, aging of receivables and consolidation
These are questions from companies who want to stop guessing and finally see the numbers on time.
How does this differ from normal financial reporting?
Financial reporting is mainly used to formally capture the result and reporting, while management reporting is intended to support day-to-day decisions on margins, costs, efficiency and direction of the company.
Does this only work for large companies?
No. This type of reporting makes sense wherever a company needs the right information at the right time and does not want to waste time with manual data submission and unclear metrics.
What data is needed to get started?
Most often, it starts with data from ERP, accounting, sales, operations and support sheets and then organises their logic and indicator definitions.
Can indicators be counted for customers, products and projects?
Yes, if the company has properly aligned data and allocation of revenue and costs. Then you can analyse profitability and ratios at customer, product, project or other business area level.
How often can reports be updated?
It depends on the processes and data sources, but reports and views can update either cyclically or closer to real time if the data is properly linked.
What exactly does AI do in this process?
AI helps to monitor key indicators, detect deviations, catch trend changes and suggest which signals are really business-relevant.
Is AI replacing the analyst or people keeping an eye on the numbers?
No. AI speeds up monitoring and pinpoints signals worthy of attention, but business logic, indicator selection and interpretation in the context of the company are still needed.
How to reduce hype and false warnings?
The key is to set the indicators, thresholds, business context and priorities well, so that the system does not inundate users with every change, but rather prompts what really needs to be responded to.
What does it look like to run such reporting?
Typically, one starts by structuring the data sources, defining the profitability areas and roles of report recipients, and only then builds the views, alerts and monitoring logic.
Is the aging of receivables part of this reporting?
Yes. Aging of receivables is a standard element of the reporting model - analysing the balance by time interval (e.g. 0-30, 31-60, 61-90, over 90 days) and by counterparty. It allows you to monitor the timeliness of payments, identify customers generating bad debt risk and plan collection activities in advance.
Does the reporting cover multiple companies or a holding structure?
Yes. We offer consolidated reports for groups and holding companies: a summary of the results of several entities, elimination of intra-group transactions and a common financial view for management or investors. Reporting can include a breakdown by subsidiary, centre of responsibility and parent company.
If the numbers are coming in too late today, we'll show you how to turn it around
You don't need to start with an elaborate dashboard. Just work out which numbers really determine your margins, liquidity and growth rate, and then arrange them so that they are visible when you need them.
After the first interview:
- we will show which figures are really worthy of daily attention,
- we will point out where you are losing margin, liquidity or reaction time today,
- we will propose a simple model of reports and alerts tailored to your company.