Why does month-end reporting take a week?

The figures for each report gathered from every system automatically, reconciled before anyone sees them, with every number traced to where it came from.

See it worked through

The numbers exist.
Assembling them takes the week.

Month-end reporting is mostly copying: exports from each system, pasted into spreadsheets, checked by hand and pasted again into the pack.

Exports and pastes.

Each figure passes through several spreadsheets before it reaches the report.

Checks done by hand.

Totals are tied out line by line, late at night, by the people who should be explaining them.

No trail behind a number.

When a director asks where a figure came from, someone has to rebuild it.

What the AI reads.

Every figure in the report read from the system that owns it, and tied out against the others before it is used.

In

  • General ledger
  • Sales and billing systems
  • Payroll and HR
  • Operational systems
  • Last month’s pack and its definitions

At work

  1. Understand Maps each line of the report to the systems and definitions behind it.
  2. Check Reconciles each figure against the ledger and last month, and flags anything that doesn’t tie.
  3. Operate Assembles the pack and drafts the commentary for the finance team to edit.

Out

A finished pack. Every number links back to its source.

Every figure tied out.
Every number traced.

The finance team starts from a pack that is already assembled and reconciled, and spends its time on what changed and why.

Monthly management pack · September · DraftIllustrative

5 lines · 4 tie out · 1 to explain

LineFigureCheckDetailValue
P&L 1RevenueTies outBilling system agrees with the ledger£12.84m
P&L 4Payroll costsTies outPayroll run agrees with the ledger£3.12m
P&L 6Freight costsDoesn’t tieLedger £410k; carrier bills £452k; accrual missing£410k
KPI 2Orders shipped on timeTies outWarehouse system · 9,412 of 10,060 orders93.6%
KPI 5HeadcountTies outHR system at 30 September412

Illustrative example. Company, figures and systems are fictional.

Built for finance teams.

The AI assembles and checks. Your team signs off the numbers.

Nothing posted automatically.

Adjustments and commentary are proposed for the finance team to approve.

How Operate works ↗

Every number traced.

Each figure links to the system, the report and the filters it came from.

How Check works ↗

Your definitions, every month.

Reports use the definitions your team has agreed, so the numbers stay comparable.

How Understand works ↗

The documents and data behind this work answer other questions too.

How did the North region do last quarter?

Ask your data

Plain-language answers from your own databases, within each person’s access.

See how →

Can we trust these numbers?

Data quality

Find duplicates, gaps and records that disagree across systems.

See how →

What should we have charged?

Revenue leakage

Find money that should have been charged.

See how →

What are our emissions, by site?

Sustainability reporting

From raw figures to board-ready reports, every number auditable.

See how →

Bring us last month’s pack and the exports behind it.

We’ll show you how much of it can be assembled and reconciled automatically, line by line.

Talk to us →
LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India