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AI and automation for finance teams

AI for finance, with the control environment left intact

Reconciliation, invoice processing, month-end and reporting — automating the mechanical parts of finance while approval, judgement and accountability stay exactly where they are.

The situation

Finance teams spend their expertise on matching

The people you hired for judgement spend a large share of the month on work that is mechanical, repetitive and entirely rule-based.

  • Reconciliation done line by line, every month
  • Invoices keyed from PDFs into the ledger
  • Approvals waiting in an inbox while month-end runs down
  • The management pack rebuilt by hand from four exports
  • Intercompany balances reconciled in a spreadsheet
  • Nobody able to answer a variance question without a day of work

What it covers

Where automation and AI fit in finance

The distinction that matters throughout: preparing a number is mechanical, approving it is not.

  • Transaction matching

    Bank, ledger and invoice reconciliation automated for the clear matches, with exceptions raised for a person.

  • Invoice and document capture

    Reading invoices, receipts and statements into structured data rather than keying them. Mature technology and a reliable saving.

  • Approval workflow

    Routing, thresholds, delegation for absence and an audit trail produced automatically.

  • Close automation

    Recurring journals, accruals and checklists that run and evidence themselves.

  • Reporting

    Management and board reporting from live data rather than assembled from exports the week before.

  • Anomaly flagging

    Surfacing transactions that look unlike their history for a human to review — a prompt to look, never a conclusion.

How we work

How a finance engagement runs

Controls first. Automation that weakens segregation of duties is not a saving, it is a finding at your next audit.

  1. Map the close

    Every task, who does it, what it depends on, and how long it actually takes rather than how long it is meant to.

  2. Automate the mechanical

    Matching, capture and recurring journals — the work with a right answer that does not need judgement.

  3. Keep approval human

    Design so the person approving still sees what they are approving. Speed that removes visibility is not an improvement.

  4. Evidence it

    An audit trail that shows what ran, what it matched and who approved the rest.

Outcomes

What it can be worth

  • Reconciliation reduced to the exceptions
  • Invoices captured rather than keyed
  • Approvals moving at the pace of the business, not the inbox
  • A shorter close, with the checklist evidenced automatically
  • Reporting produced from live data
  • Qualified finance time spent on analysis rather than matching

Platforms and tooling

What we work with

Finance systems

  • Sage
  • Xero
  • NetSuite
  • Dynamics 365
  • SAP
  • Oracle

Capture and workflow

  • Document AI
  • Power Automate
  • Azure Logic Apps
  • Bespoke workflow

Data

  • SQL Server
  • PostgreSQL
  • Reporting layers
  • Azure
  • AWS

Named as platforms we work with, not as formal partnerships.

Common questions

Questions we are usually asked

  • It should not, and we would not build it that way. Automation prepares, matches and routes; a person approves. That is not caution for its own sake — segregation of duties is a control your auditors will test, and automating the approval itself is what turns an efficiency project into an audit finding.

Talk to someone who has built this

Not a salesperson working from a form. Tell us what the problem looks like and someone who has delivered this kind of work will come back to you, usually within one working day.

Book a free consultation

Tell us what you need

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