Financial reporting
Financial reporting prepared,variances flagged.
The AI financial reporting agent gathers the figures from your systems at every period close, builds the reports in the agreed format and highlights values that break the usual pattern. The finance team checks, explains and decides. The agent does not keep the books and does not provide financial advice.
Preparing reports takes up time that should go into analysis
At every month-end close, someone exports data from the ERP, pastes it into the same spreadsheets, checks the formulas, rebuilds the charts and writes a commentary. Significant variances only become visible at the end, sometimes after the report has gone to management. The process is repetitive, but a single copying error can spread through all the figures.
- The same exports and formulas redone by hand every period
- Data from the ERP, the bank and separate spreadsheets, hard to piece together
- Variances against budget or the previous month are discovered late
- Little time left for explaining the figures and making recommendations
Who it is for
- Finance directors and controllers who prepare the same reports for management every month
- Companies with several sites or cost centres that consolidate data from different sources
- Business owners who want a clear report on sales, costs and cash flow without waiting for days
- Small finance teams, where preparing reports leaves little time for analysis
What the report looks like
Month-end close, ready for review.
On the agreed date, the agent gathers the figures, fills in the report in the team's format and flags what falls outside the pattern. The controller reviews, explains and decides what goes to management.
Illustrative example · demo data, not from a client
Report prepared: Monthly management report · October · sent to the controller for review
Revenue by business line
- Products
- Services
- Subscriptions
↑ 18.2%
RON · on last November
Annual cost budget
10 of 12 months78%
spent at 31 October
- Spent78%
- Left22%
Gross margin
+1.2 pp31.4%
On September, above the agreed threshold
Flagged variances
3 to review- Transport · Cluj+38% vs. budget
- Collections, key accounts−12% vs. Sep
- Software licencesbilled twice?
Days sales outstanding
target 45 days38 days
down from 44 in August
Draft commentary
Revenue is 4.2% above budget, driven by services. Watch transport costs in Cluj, which rose for the second month in a row.
Cash in and out
last 6 months, three years overlaid
- Collections
- Payments
Costs by centre
6 months- Bucharesthead officeRON 443,000+2%
- ClujwarehouseRON 302,000+38%
- IașibranchRON 109,000−3%
Invoices processed
1,912
in close week
The agent prepares and flags; the finance team reviews and decides. The figures above are made up for the example.
What the financial reporting agent does
- 01
Collects the period's data
On the agreed date, it takes the ERP exports, bank statements and internal spreadsheets, with read-only access.
- 02
Builds the periodic reports
It fills in the reports in the team's format: sales, costs by centre, margin, receipts, compared with the budget.
- 03
Flags variances
It highlights values that exceed the agreed thresholds against budget, the previous period or the usual pattern.
- 04
Proposes an explanatory commentary
It drafts a first version of the covering note, with what has changed and where the team should look.
- 05
Checks data consistency
It flags totals that do not match between sources or periods with missing data, before reporting.
How it works
How a periodic report is prepared
The steps marked in yellow are approved by a person.
- Input
- Action
- AI
- Human in the loop
- Result
- 01
Input
Period close
On the agreed date, the agent starts preparing the report.
- 02
Action
Takes in the data
It reads the exports from the ERP, the bank and the approved spreadsheets.
- 03
AI
Report and variances
It fills in the report and highlights values outside the thresholds.
- 04
Human in the loop
Controller checks
The finance team confirms the figures and explains the variances.
- 05
Result
Approved report
The validated version is distributed to management.
What data and tools the agent uses
- Exports from, or read access to, the ERP and the accounting software
- The approved budget and reports from previous periods
- The report templates the finance team uses today
- The variance thresholds and flagging rules set by the controller
- Bank statements or receipts reports, where needed
Possible integrations
- SAP Business One
- WinMentor
- Saga
- SmartBill
- Oblio
- Microsoft Excel / SharePoint
- Google Sheets
- Power BI
- Looker Studio
- SAP Business One
- WinMentor
- Saga
- SmartBill
- Oblio
- Microsoft Excel / SharePoint
- Google Sheets
- Power BI
- Looker Studio
Each integration's compatibility is checked during the analysis phase, for the systems and versions you use.
Control and transparency
What stays in human hands
- Checking and approving every report before it is distributed
- Explaining the variances and drawing conclusions for management
- Any accounting entry, tax return or financial decision
- Setting the flagging thresholds and the structure of the reports
Limits and how we manage them
- It is not an accounting, audit or financial advisory service and does not replace qualified specialists
- Reports reflect the source data, so it works best when the ERP records are up to date
- A flagged variance is not an explanation; the cause has to be established by the team
- The commentary proposed by the agent can misinterpret a variation and must be reviewed before distribution
How we measure report quality
We agree the indicators together before launch and track them afterwards. The values depend on the process, the data and the volume.
- Agreement of figures with sources
- The controller reconciles the report totals with the ERP over the first pilot periods.
- Relevance of flagged variances
- The team notes which flags were useful and which significant variances were missed.
- Corrections to the proposed commentary
- We compare the note drafted by the agent with the final approved version.
- Report preparation time
- We measure the time from period close to a report ready for checking.
How we implement the reporting agent
- 01
Report inventory
We establish which reports are prepared periodically, from which sources, for whom and with what rules.
- 02
Connecting the sources
We set up read access to the ERP and spreadsheets and define the flagging thresholds with the controller.
- 03
Running in parallel
For a few periods, the agent prepares the reports in parallel with the team, and the differences are analysed.
- 04
Moving into everyday use
Once validated, the agent's report becomes the starting point, and the team checks and approves it.
Use cases
The scenarios below are conceptual examples, not delivered implementations.
- Private clinic network
Monthly report by location
The agent prepares revenue and costs for each clinic, compared with the budget, and highlights locations with unusual variations.
Conceptual example - Furniture manufacturing
Monitoring production costs
Every month, the agent compares material costs per order with the internal standard and flags variances for the cost controller.
Conceptual example - HoReCa distribution
Weekly receipts report
The agent matches invoices issued with payments received and highlights clients whose delays exceed the agreed threshold, for the finance team.
Conceptual example
Frequently asked questions
Is it an accounting or financial advisory service?
No. The agent prepares reports and flags variances for your team. Accounting, tax returns and financial decisions stay with qualified specialists. For broader analytics and business intelligence projects, we have a dedicated service.
What happens if the data from different sources does not match?
The agent does not pick a version on its own. It flags the difference, shows the sources that disagree and holds the report at the checking stage until it is clarified.
How is financial data protected?
The agent only gets read access to the sources it needs, and reports stay in your own workspaces. Together we decide where the data is processed, who has access and how long logs are kept.
How is it different from a dashboard?
A dashboard displays figures. The agent prepares the full report for the period, checks data consistency and drafts a first explanation of the variances, which the team reviews.
How is it different from the AI data analysis agent?
The reporting agent prepares the same reports at every period close, in the finance team's format, and flags variances. The data analysis agent answers new, one-off questions asked in natural language. They can be used together, on the same sources.
How do we get started?
With an inventory of the reports prepared periodically. We connect the sources with read-only access, set the flagging thresholds with the controller and run the agent in parallel with the team for a few periods before everyday use.
Can’t find the answer? Write to us and we’ll reply directly.
Want your monthly report ready to check, not to build?
Show us the reports you prepare periodically and we will look at which part an agent could prepare, with validation by the finance team.
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