AI & Finance Automation

Let the system read the data first and tell you what changed.

Routine consolidation runs automatically, and AI reviews the result to surface anomalies, explain them in business language and propose the next action.

Data consolidationAnomaly detectionPlain-language explanationsRecommended actions

AI detection feed

Signals reviewed this week

Sample data

Records processed

18,420

Automated

Anomalies flagged

7

This week

Manual hours saved

~11h

Per month

AI detected

Collection risk is rising even though revenue stays above plan.

Recommended action

Review the five largest overdue accounts before Week 10.

Detection layer

Source data → AI detection → business action.

Illustrative examples of the kind of signals the system surfaces.

Source data

Invoices & receivables

AI detected

Payment behaviour of 5 accounts slipped past 30 days

Recommended action

Start structured reminders and review credit terms

Source data

Sales & pricing

AI detected

Discount depth grew faster than volume on Line B

Recommended action

Cap discount authority and review the top 10 deals

Source data

Purchasing

AI detected

Unit purchase cost rose 3.1% without a price update

Recommended action

Model a 2% price adjustment on affected lines

Source data

Operations

AI detected

Delivery delays cluster in two regions

Recommended action

Review carrier SLA before peak season

Data signal

18,420 transactions consolidated across sales, purchasing and banking.

AI detected

Seven anomalies exceed the tolerance you defined.

Business action

Two require a decision this week; five are logged for monitoring.

Automation examples

The manual work that disappears.

Data consolidation

Sales, accounting and bank exports merged into one clean dataset on a schedule.

Reconciliation checks

Mismatches between invoices, payments and orders are flagged automatically.

Report distribution

The management pack is generated and delivered on a fixed day each month.

Payment reminders

Overdue invoices trigger a structured reminder sequence.

Threshold alerts

Cash, margin and overdue limits notify the right person immediately.

Commentary drafting

AI drafts the variance explanation for your review, not your typing.

How it runs

Automation with a human decision at the end.

1

Ingest

Data is collected from your existing systems on a schedule.

2

Clean

Duplicates, gaps and mismatches are resolved by rules.

3

Detect

AI compares against plan, history and your tolerances.

4

Decide

You get a short list of actions — the decision stays yours.

Ready to see this running on your numbers?

The routine work runs on its own; you spend your time on the decisions.