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Language Model Concept

 

AI Agent for an Accounts Payable Clerk 

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1. Purpose and scope objective:

 

Design an AI Agent that performs the core work of an AP clerk: invoice capture, validation, approvals routing, payment preparation, and query handling, while keeping a human in control for exceptions and final approvals.

 

Scope:

  • Invoices from suppliers

  • Credit notes

  • Vendor master data updates

  • AP email inbox and internal queries

 

2. High‑level value chain

  1. Invoice intake

  2. Data extraction and enrichment

  3. Validation and matching approval workflow

  4. Payment run preparation

  5. Posting & reconciliation

  6. Vendor & internal queries

  7. Monitoring, controls, and learning

 

3. Business architecture flow (step by step)

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3.1 Invoice intake

  • Channels: Supplier email inbox, upload portal, EDI/API feeds, scanned paper.

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  • AI Agent responsibilities:

  • Monitor AP email inbox.

  • Classify incoming messages (invoice, statement, query, spam).

  • Save invoice documents to DMS or AP system with standard naming.

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  • Human oversight:​​

  • ​​Handle ambiguous documents and unusual formats.

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3.2 Data extraction and enrichment:

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  • Inputs:

  •  Invoice PDFs/images, EDI data.

 

  • AI capabilities:

  • OCR + parsing to extract header and line‑level data (supplier, dates, PO, amounts, tax, line items).

  • Standardise currencies, tax codes, GL codes based on rules and history.

  • Auto‑suggest cost centres and accounts using past invoices. Human oversight: Verify low‑confidence extractions, confirm coding for new vendors or unusual spend types.

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3.3 Validation and matching

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  • Business rules:

  • 3‑way match where applicable: PO – GRN – invoice.

  • Tolerances on price/quantity.

  • Duplicate invoice checks (vendor, number, date, amount).

  • Compliance checks (approved vendor, contract terms, tax rules).

 

  • AI Agent responsibilities:

  • Perform automated matching and rule checks.

  • Flag discrepancies as exceptions, classify reason (price variance, missing PO, duplicate, unapproved vendor).

  • Propose corrections (e.g., suggest likely PO, cost centre or approver).

  • Human oversight: Resolve exceptions the agent cannot auto‑clear.Approve overrides to tolerances or policy.

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3.4 Approval workflow

  • Routing logic:

  • Approval matrix by amount, cost centre, department, vendor risk, and type of spend.

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  • AI Agent responsibilities:

  • Determine who needs to approve based on rules.

  • Send approval tasks/emails/messages with invoice summary and links.

  • Chase approvers with smart reminders and escalation paths.

  • Surface key risks (e.g., new vendor, large variance, high amount). Human oversight: Approvers review and approve/reject. AP manager resolves escalated or overdue approvals.

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3.5 Payment run preparation

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  • Pre‑payment checks:

  • Due date and early‑payment discount logic.

  • Vendor banking data validity.

  • Cash‑flow rules and payment calendar.

 

  • AI Agent responsibilities:

  • Build proposed payment batches (by date, currency, bank).

  • Prioritise invoices based on terms, discount opportunities, and company cash‑flow rules.

  • Generate payment files (ABA/SEPA/etc.) or payment instructions for review.

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  • Human oversight:

  • Accountatnt / finance lead reviews and approves payment batches.

  • Final sign‑off in banking platform.

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3.6 Posting & reconciliation

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AI Agent responsibilities:

  • Post approved invoices into ERP/AP system with correct coding.

  • Match payments to open invoices, close them out.

  • Assist with month‑end accrual suggestions for un‑invoiced POs or received‑not‑invoiced items. Human oversight: Review journals with material impact.Confirm accruals and adjustments.

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3.7 Vendor and internal queries

  • Query types:

  • “When will this invoice be paid?”

  • “Why was this invoice short‑paid or rejected?”

  • “What’s our balance with you?”AI Agent responsibilities:Act as first‑line AP assistant via email or chat.Pull live status from AP system and respond with structured explanations.Draft responses for complex cases for a human to approve.

  • Human oversight:Handle disputes, escalations, or policy‑sensitive communications.

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3.8 Monitoring, controls, and learning

  • Controls:

  • Segregation of duties: AI assists, humans approve payments and major changes.

  • Audit trail for every AI action (who/when/what suggested, who approved).

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  • Analytics:

  • KPIs: cycle time, touchless rate, exception rate, discount capture, late‑payment rate, duplicate prevention, fraud flags.

 

  • Continuous improvement:

  • The agent learns from human corrections to improve coding, matching and routing.

  • Finance and your AI agency adjust business rules and thresholds over time.

 

4. Logical component view (what systems exist)

  • Channel & Intake Layer

  • Email listener, supplier portal, scan station, EDI/API gateway.

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  • AI & Automation Layer

  • Invoice capture & OCR service

  • Document classifier

  • Matching and rules engine

  • Workflow/approvals engine

  • Conversational agent (for AP helpdesk)

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  • Core Finance Systems

  • ERP/AP module, vendor master, purchase order system, banking/payment system.

 

  • Data & Governance

  • Data warehouse or reporting layer, logs/audit store, security and access management.

   

     

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