January 26, 2026 by Howard Williams

How to Automate Accounts Payable (AP) with ThinkAutomation and OptimaGPT

Use Cases

Modernising financial processes requires an intelligent system capable of mapping unstructured data to structured ERP schemas.

By leveraging accounts payable automation, organisations can move beyond rigid templates and utilise Large Language Models (LLMs) to handle the high variance found in global invoicing.

The Challenge: Unstructured Data & Security Risks

Traditional AP workflows fail due to three primary technical hurdles:

Template Fragility

Standard OCR breaks when vendor invoice layouts change by even a few pixels.

Data Sovereignty

Processing sensitive financial payloads through public AI APIs (like OpenAI) introduces significant compliance risks and data-residency concerns.

Integration Silos

Bridging the gap between an IMAP stream and a legacy SQL-based ERP often requires extensive custom middleware.

The Solution: How to Streamline AP Processes with Private AI

To solve for how to streamline accounts payable processes, we deploy a Private AI solution. ThinkAutomation serves as the orchestration layer, while OptimaGPT acts as the self-hosted inference server. This configuration ensures accounts payable safe ai, where all Protected Financial Information (PFI) remains within the corporate firewall.

The 5 Step Technical Workflow for AP Automation

1. Multi-protocol ingestion

ThinkAutomation monitors the designated accounts@ endpoint via IMAP/OAuth2 or watches a local SFTP directory. Upon arrival, the system isolates the attachment and initiates a pre-processing check to validate file integrity and filter out non-invoice noise.

2. Intelligent Extraction

Rather than relying on coordinate-based extraction, ThinkAutomation passes the document’s text layer to the local OptimaGPT instance.

The Prompt

A structured system message instructs the LLM (e.g. Llama 3 or Mistral) to parse the text and return a JSON object.

The Payload

The AI identifies the Invoice_ID, Tax_ID, Line_Items, and Currency Code with high contextual accuracy, even on non-standard layouts.

3.Automated 3-Way Matching & Validation

ThinkAutomation executes a SQL Lookup or RESTful API call to the internal ERP to perform a 3-way match:

Match A: Does the PO number in the JSON exist in the database?

Match B: Is the vendor’s bank account on the invoice verified in the Master Vendor File?

Match C: Are the goods marked as ‘Received’ in the warehouse management system?

4.Exception Logic & Human-in-the-Loop (HITL)

If the matching logic fails (e.g., a variance > 1%), ThinkAutomation triggers an exception workflow. It posts a notification to a webhook (Teams/Slack) containing a link to the record, allowing a human controller to override or investigate without leaving their primary workspace.

5. Deterministic Write-Back

Once validated, ThinkAutomation serialises the data and performs a POST request to the ERP’s API or writes directly to the SQL staging table, marking the invoice as ‘Ready for Payment.’

Ensuring Compliance with Safe AI

  • Zero Data Leakage: Invoices are processed on-premises; no data is sent to external servers for training or inference.
  • Compliance: Meets GDPR, SOC2, and internal InfoSec requirements for financial data handling.
  • Latency: Eliminates the round-trip latency and rate-limiting issues common with public AI APIs.

Accounts Payable Automation Implementation Strategy

Learning how to automate accounts payable at scale shouldn’t require a dedicated DevOps team. ThinkAutomation utilises a low-code platform, allowing IT teams to define triggers, variables, and API endpoints through a visual interface. This ensures that the automation is maintainable, auditable, and easily updated as business logic evolves.

Start a discovery session with the Parker Software team to see how ThinkAutomation can transform your AP workflow.