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Concept buildA worked example of how we would build this for a typical business. Not client work: no client, no client data, no achieved results.

Workflow Automation

Concept build

Invoice Intake and Approval Workflow for a UK Finance Team

A concept build for the finance team of a UK small or mid-sized business that keys supplier invoices into its cloud accounting system by hand. Invoices arriving by email are read into structured fields with a confidence score, matched to purchase orders, approved in team chat by the budget owner and posted to the accounting system, while anything that does not match lands in an exception queue with the reason attached.

Concept build cover: invoice tokens riding a curved track through check and approval stationsConcept build
Built for
A typical SME finance team
Industry
Finance and accounting
Market
UK market
Typical timeline
4–6 weeks from invoice sampling to a supervised pilot

The brief

The problem this concept answers

A typical UK SME finance team receives supplier invoices as PDF attachments in a shared mailbox, in every layout imaginable. Someone opens each one, types the supplier, invoice number, dates, net, VAT and gross into the accounting system, then chases the budget owner for approval by email. The work piles up at month end, approvals stall in inboxes, and duplicates slip through when a supplier resends. The occasional “we have changed our bank details” email is exactly the kind of message that should never be processed on autopilot.

In the first version

  • Supplier invoices arriving by email as PDFs
  • Field extraction with a confidence score per field
  • PO matching, duplicate checks and VAT arithmetic
  • Team-chat approval and bill posting to the accounting system

Left out on purpose

  • Making payments: payment runs stay in the accounting system with the team
  • Paper invoices and expense receipts in the first version
  • Supplier onboarding and bank-detail changes, which stay manual

Explainer

The build in seven slides

Watch the narrated video, step through the slides or read the transcript.

Explainer · 7 slides · about 47 s

Concept build

Concept build: Invoice Intake and Approval Workflow for a UK Finance Team

Concept build, explained in 7 slides: a concept build for the finance team of a UK small or mid-sized business that keys supplier invoices into its cloud accounting system by hand.

Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

Workflow automation

Invoice Intake and Approval Workflow for a UK Finance Team

A concept build for the finance team of a UK small or mid-sized business that keys supplier invoices into its cloud accounting system by hand.

Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

The problem

What a typical SME finance team is up against

A typical UK SME finance team receives supplier invoices as PDF attachments in a shared mailbox, in every layout imaginable. Someone opens each one, types the supplier, invoice number, dates, net, VAT and gross into the accounting system, then chases the budget owner for approval by email.

Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

The approach

How we would build it, in 5 steps

  • Map the invoice flow and choose the first suppliers
  • Extraction to a strict schema
  • PO matching and duplicate checks
  • Approval in team chat, posting to the ledger
  • Exception queue and retries
Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

Architecture

How the pieces connect

Diagram: Invoice mailbox to LLM extraction (invoice PDF); LLM extraction to Checks + PO match (fields + scores); Purchase orders to Checks + PO match (open POs); Checks + PO match to Chat approver (clean match); Checks + PO match to Exception queue (failed check); Chat approver to Accounting system (approved bill).

Diagram with 7 parts: Invoice mailbox (source), Purchase orders (source), Checks + PO match (processing), LLM extraction (model), Chat approver (human), Exception queue (human), Accounting system (system of record).

Connections:

  • Invoice mailbox → LLM extraction (invoice PDF)
  • LLM extraction → Checks + PO match (fields + scores)
  • Purchase orders → Checks + PO match (open POs)
  • Checks + PO match → Chat approver (clean match)
  • Checks + PO match → Exception queue (failed check)
  • Chat approver → Accounting system (approved bill)
Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

Demo · sample run

Sample data

One clean invoice and one that needs a person

Scenario: One clean invoice and one that needs a person

  1. Invoice email arrivesA PDF from a repeat supplier; fields extracted with confidence scores.Done
  2. Checks passNet + VAT = gross, the VAT number matches, and a PO is found within tolerance.Done
  3. Approved in team chatThe budget owner approves in chat; the bill posts with the PDF attached.Done
  4. Ledger API timeout, then a retryPosting retries with backoff and succeeds with no manual step.Needs review
  5. Second invoice: totals mismatchGross does not equal net plus VAT, so it stops before approval.Failed
  6. Exception queueA finance reviewer sees the reason, corrects the field and resubmits.Handed to a person
Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

Typical targets

What we would measure it against

  • Typical target60–80% of standard supplier invoices posted with no field correctedBasis: Typed PDFs from repeat suppliers with a clean PO match; measured on a sample of your recent invoices
  • Typical targetEvery exception routed with a reasonBasis: Design property: each failed check writes a named reason to the exception queue
  • Typical targetBank-detail changes always reviewed by a personBasis: Design property: a hard stop in the workflow, independent of extraction confidence
  • Typical targetApproval waits measured in hours rather than daysBasis: Time from invoice receipt to approval, compared with the email-based baseline during the pilot
Concept build: Invoice Intake and Approval Workflow for a UK Finance TeamConcept build

Next step

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A free call to map your workflow, data and the first version.

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Slide 1 of 7

Architecture

How the pieces connect

  • Invoice mailbox· channel
  • Purchase orders· source
  • Checks + PO match· processing
  • LLM extraction· model
  • Chat approver· person
  • Exception queue· person
  • Accounting system· system of record
Show the architecture diagram

Architecture of the Invoice Intake and Approval Workflow for a UK Finance Team concept: Invoice mailbox → LLM extraction (invoice PDF); LLM extraction → Checks + PO match (fields + scores); Purchase orders → Checks + PO match (open POs); Checks + PO match → Chat approver (clean match); Checks + PO match → Exception queue (failed check); Chat approver → Accounting system (approved bill).

Diagram with 7 parts: Invoice mailbox (source), Purchase orders (source), Checks + PO match (processing), LLM extraction (model), Chat approver (human), Exception queue (human), Accounting system (system of record).

Connections:

  • Invoice mailbox → LLM extraction (invoice PDF)
  • LLM extraction → Checks + PO match (fields + scores)
  • Purchase orders → Checks + PO match (open POs)
  • Checks + PO match → Chat approver (clean match)
  • Checks + PO match → Exception queue (failed check)
  • Chat approver → Accounting system (approved bill)

Connections

  1. Invoice mailbox → LLM extraction (invoice PDF)
  2. LLM extraction → Checks + PO match (fields + scores)
  3. Purchase orders → Checks + PO match (open POs)
  4. Checks + PO match → Chat approver (clean match)
  5. Checks + PO match → Exception queue (failed check)
  6. Chat approver → Accounting system (approved bill)

Sample run

One run, step by step

One clean invoice and one that needs a personSample data
  1. Invoice email arrivesRoutine

    A PDF from a repeat supplier; fields extracted with confidence scores.

  2. Checks passRoutine

    Net + VAT = gross, the VAT number matches, and a PO is found within tolerance.

  3. Approved in team chatRoutine

    The budget owner approves in chat; the bill posts with the PDF attached.

  4. Ledger API timeout, then a retryNeeds care

    Posting retries with backoff and succeeds with no manual step.

  5. Second invoice: totals mismatchStopped

    Gross does not equal net plus VAT, so it stops before approval.

  6. Exception queueA person takes over

    A finance reviewer sees the reason, corrects the field and resubmits.

Build plan

How we would build it

Typical timeline
4–6 weeks from invoice sampling to a supervised pilot
Stack
  • Shared-mailbox email ingest
  • LLM extraction to a JSON schema
  • Schema and arithmetic validation
  • Accounting system API
  • Team-chat approvals
  • Queue with retries (n8n or Cloudflare Workers)
  • Audit log
  1. Map the invoice flow and choose the first suppliers

    We sample a few months of invoices and the approval trail behind them: which suppliers send most, how many invoices carry a purchase order, and where approvals wait. Repeat suppliers with clean PO matches go first; one-off and scanned paper invoices stay manual until the pipeline has earned trust.

  2. Extraction to a strict schema

    An LLM reads each invoice into a fixed JSON schema (supplier, VAT number, invoice number, dates, line items, net, VAT and gross) with a confidence score per field. Validation then checks the arithmetic, the date logic and the supplier against the accounting system’s contact list. Any failed check sends the invoice to review rather than guessing.

  3. PO matching and duplicate checks

    Validated invoices are matched to open purchase orders by supplier, reference and amount within an agreed tolerance. The same supplier and invoice number seen twice is flagged as a likely duplicate. Changed bank details always stop the flow and go to a named person, whatever the confidence score says.

  4. Approval in team chat, posting to the ledger

    The budget owner receives a team-chat message with the invoice image, the extracted fields and the PO match, and approves or rejects in one click. Approval posts the bill to the accounting system through its API, with the original PDF attached; rejection returns it to the finance queue with the approver’s note. Every step writes to an audit log.

  5. Exception queue and retries

    Failed checks, low-confidence fields, unknown suppliers and accounting-API errors each land in an exception queue with a plain-language reason. API failures retry with backoff before anyone is alerted, so a short outage does not become manual work. The finance team works the queue; the pipeline handles the rest.

Typical targets

What we would measure it against

Targets for a typical business of this kind, not achieved results. A real project measures its own baseline first.
  • Typical target

    60–80% of standard supplier invoices posted with no field corrected

    Basis: For typed, digital PDFs from repeat suppliers with a clean purchase-order match; scans, handwriting and new suppliers land lower. Measured on a sample of your own recent invoices in the pilot.

  • Typical target

    Every exception routed with a reason

    Basis: Design property: each failed check writes a named reason to the exception queue

  • Typical target

    Bank-detail changes always reviewed by a person

    Basis: Design property: a hard stop in the workflow, independent of extraction confidence

  • Typical target

    Approval waits measured in hours rather than days

    Basis: Time from invoice receipt to approval, compared with the email-based baseline during the pilot

Your project

What a real project adds

  • A measured baseline

    Your current process timed and written down step by step, so every target has a starting point you agree with.

  • Scoped credentials per integration

    Each connection gets its own least-privilege key in your accounts, with rotation and revocation documented.

  • Failure handling you can see

    Retries with backoff, a dead-letter list and an exception queue owned by a named person, so nothing fails silently.

  • A runbook for your team

    How to pause a flow, replay a failed run and change a step without waiting for us.

Decisions this concept leaves for scoping

  • Making payments: payment runs stay in the accounting system with the team
  • Paper invoices and expense receipts in the first version
  • Supplier onboarding and bank-detail changes, which stay manual

FAQ

Questions about this build

Is this invoice workflow taken from a real finance team?

No. It is a concept build, written to show how we would take a typical UK SME finance team from manual keying to approved bills in its accounting system. The invoices in the demo are sample data, and the keying range rests on an audit sample we would run at scoping, not on any client’s figures.

What happens when the extraction reads a field wrong?

Most errors are caught before anyone sees them: totals that do not add up, a VAT number that does not match the supplier, or a low confidence score all send the invoice to review. The reviewer corrects the field on one screen, and each correction becomes a test case for the next extraction update.

Does this replace our accounts payable process or our accountant?

No. It removes the keying and the approval chasing, while the finance team keeps supplier setup, payment runs and month-end close. The workflow pays nothing: it posts approved bills to the accounting system, and payments are made there exactly as they are today.

How does the invoice workflow handle VAT and invoices in another currency?

VAT is checked arithmetically and against the supplier’s VAT number; an invoice where net plus VAT does not equal gross stops for review. Invoices in a foreign currency are extracted as issued and flagged for the finance team to confirm the rate, because the posted amount must follow your accounting policy, not a model’s guess.

What would the audit trail show an auditor at year end?

For every bill: the original email and PDF, the extracted fields with their confidence scores, each check and its result, who approved it and when, and the posting reference returned by the accounting system. Corrections made in the exception queue keep the before and after values, so the record shows what changed and why.

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Next step

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