Coding acceptance rate
Shows how often the suggestion is right. Low rates mean the history or rules need attention.
An AI bill coding agent is software that suggests the general ledger account, cost centre, project and spend owner for each bill, checks it against its purchase order and receipt, and routes it for approval.
A matched bill is ready for coding.
The agent suggests GL account, cost centre and tax code.
It identifies the spend owner from past coding and the vendor record.
It compares lines with the order and notes any variance.
A coder or spend owner accepts or changes the coding.
The confirmed bill goes to the approver.
The bill coding agent proposes the ledger account, cost centre, project and spend owner for each bill. It reads past coding, the chart of accounts, purchase orders, receipts, contracts and owner records, then runs two-way or three-way matching against the order and reports any variance beyond the tolerance your team sets.
Reviewers receive a suggested coding with its reasoning and any variance, then confirm or correct it. Corrections inform later suggestions. Owners approve the spend, controllers set tolerances, and disputes stay with people. The agent routes bills and sends reminders but posts nothing itself, and it logs each suggestion and each correction.
Each task below is something the agent prepares, checks, drafts or routes, with a person keeping the decision.
It proposes accounts and cost centres from the vendor, the category and how similar bills were coded before.
It works out who is responsible for the cost from contracts, requests and department records.
It runs two-way or three-way matching and compares prices and quantities against the PO and receipt.
Price and quantity differences are listed with the amount and the likely cause.
It sends the bill to the right approver and nudges when approval is overdue.
It reads bills, past coding, chart of accounts, purchase orders, receipts, contracts and department or owner records.
It decides the most likely coding, the likely owner, and whether a bill matches within the tolerance your team sets.
It writes suggested codes, records match results, routes the bill and sends reminders. A person confirms the coding and approves.
Proposes GL, cost centre and project codes.
Finds the person responsible for the spend.
Runs two-way and three-way matches and reports differences.
Sends bills to approvers and follows up.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Coding choice | Coders pick accounts from memory and habit. | Coding is proposed from history and policy, with the reason shown. |
| Owner lookup | Bills circulate while someone works out whose budget it is. | The likely spend owner is named when the bill is ready. |
| Consistency | The same vendor is coded differently by different people. | Similar bills receive the same proposed coding unless a rule differs. |
| Variance | Differences from the order surface at approval. | Line variances against the order are shown at coding time. |
| Learning | Corrections vanish once the bill is posted. | Corrections are kept and used for later proposals. |
| If | Then | Who decides |
|---|---|---|
| The vendor has a stable coding history | It proposes the usual account and shows past examples | Coder |
| Line descriptions point to a different category | It flags the conflict with history and offers alternatives | Coder |
| The bill has no clear spend owner | It lists candidates from past approvals and asks for a pick | AP supervisor |
| A line costs more than the order line | It marks the variance and the amount difference | Buyer |
| The coding would hit a closed or restricted account | It blocks that choice and shows allowed accounts | Finance controller |
| A spend owner leaves or changes role | It asks for a current owner before routing | Finance partner |
Lines are proposed separately with their own reasons. The coder confirms the split.
No pattern exists, so the agent offers category-based options with low confidence marked. A coder decides and the choice becomes the baseline.
The agent flags lines that may need capitalisation but does not decide. Finance applies the accounting policy.
Allocation suggestions come from past splits. The budget owners agree the split before posting.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with a spend area that has consistent vendors and clear owners.
Coders compare their choice with the proposal and note disagreements.
Let high-confidence lines be pre-filled while others stay blank for a coder.
Extend to PO variance and owner routing once coding accuracy is accepted.
Shows how often the suggestion is right. Low rates mean the history or rules need attention.
Tracks bills that differ from their order or receipt.
Wait time = approval date - routed date, averagedShows how long coded bills wait with approvers.
Quick answers to what people ask most about AI bill coding agent.
Book a demoIt is an agent that proposes GL accounts, cost centres and owners for bills, matches them to orders and receipts, and routes them for approval. People confirm.
That depends on your history and chart of accounts, so we do not quote a figure. The agent shows its reasoning, and reviewers correct it, which improves later suggestions.
Two-way compares the bill with the order. Three-way also compares the receipt. The agent can run either depending on the item and your rules.
It suggests and records coding for review. A person confirms the coding before anything is finalised.
An AI purchase request agent is software that takes in employee requests to buy something, completes the missing details, checks them against spend policy and existing contracts, and routes them to the right approvers.
→An AI request triage agent is software that sorts incoming procurement requests by urgency, risk and type, so the right request reaches the right person first.
→An AI purchase order agent is software that drafts purchase orders from approved requests, checks them against budget and contract terms, and tracks what happens afterwards, from supplier confirmation to receipt.
→An invoice processing AI agent is software that captures supplier invoices from email and portals, extracts their data, matches them to vendors and purchase orders, validates tax and totals, and routes exceptions.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.