Solutions / Financial analyst

Financial analyst agent

Spend is reviewed continuously rather than at month-end: variances explained, unusual transactions flagged with reasons, and savings proposed with the numbers behind them.

Finance ML & analytics Finance · Professional services
2–3 days → hours
per monthly close review
5–15%
of budget typically addressable
daily
review instead of monthly
Who it is for

CFOs and controllers with a complex cost structure across several entities, currencies or cost centres.

The problem

By the time the numbers are explained, the month is gone.

01

Variance analysis is archaeology

The close produces a number that differs from plan, and then someone spends days working out why. The answer arrives after the decisions it should have informed.

02

Anomalies hide in the aggregate

A duplicated subscription, a drifting rate, a supplier quietly repricing — none of it moves the total enough to notice until it has run for a year.

03

Savings work is never anyone’s week

Everyone agrees the spend could be tightened. Nobody has the two weeks it takes to prove where.

How it works

From trigger to result, step by step.

01

Pull the data

Ledger, bank feeds, subscriptions, payroll and supplier data are consolidated on a schedule, across entities and currencies.

02

Detect what changed

Actuals are compared against plan and against the account’s own history. The agent isolates the transactions driving each variance rather than reporting the variance alone.

03

Explain in plain language

Each finding is written as a sentence a non-finance manager can act on, with the underlying transactions attached.

04

Flag the unusual

Duplicates, off-pattern payments, price drift and dormant subscriptions are surfaced with the evidence and a confidence level — for review, never for automatic action.

05

Propose and track

Optimisations are proposed with an estimated annual value, and the ones you accept are tracked so the saving is verified rather than assumed.

Before / after

What changes on the ground.

Today, by hand
×Variance explained days after the close
×Anomalies found by accident
×Savings ideas argued from intuition
×Reporting effort repeated every month
With the automation running
Variance explained as it happens
Anomalies flagged with evidence
Savings proposed with the numbers attached
The recurring effort is the review, not the assembly
What you get

Delivered, not demoed.

A consolidated view across your entities, currencies and cost centres
Continuous variance and anomaly detection with the driving transactions attached
A monthly written pack you can put in front of a board
A tracked list of accepted optimisations and their realised value
Documentation and handover
Built with

We build in your stack rather than moving you onto ours. The list below is what this solution most often connects to — other systems are a scoping question, not a blocker.

NetSuite QuickBooks Xero Stripe Snowflake Postgres OpenAI Anthropic dbt Slack
Time to production5–8 weeks
Build priceFixed quote
First stepFree mini-audit
Honest limits

When this is not the right solution.

·This is analysis, not authorisation. It never moves money, changes a ledger entry or cancels a contract — every action stays with your team.
·If your chart of accounts is inconsistent across entities, the agent will report that inconsistency rather than see through it. Cleaning it up comes first.
·With a single entity and a simple cost base, a good spreadsheet and an hour a month will beat this on cost.

Questions we get about this one

No, and it should not. It reads financial data and writes findings. Payments, ledger changes and contract decisions stay entirely with your finance team.

Bring us the process that hurts.

The mini-audit is free: we take your version of this process apart and tell you plainly whether automating it pays. If it does, you get a scope and a fixed price.