Blog
Published By Mia Wagner

Delegating Receipt Processing to Orpius

We've just released a short video showing what it actually looks like when Orpius takes ownership of ongoing routine work.

Orpius manages the entire receipt lifecycle: extracting data, updating ledgers, filing documents, and sending a summary when the job is done.

You can watch the video here:

The Problem

In many organisations, teams are still bogged down by repetitive administrative work:

  • scanning receipts

  • extracting amounts and dates

  • updating spreadsheets

  • organising files

  • notifying someone that the work is done

None of these steps are difficult, but together, they're time-consuming. This is exactly the kind of busywork autonomous systems like Orpius are built to take over.

The Scenario: Set It and Forget It

In the video, we showcase a scheduled task called Daily Receipt Processing.

Every morning at 9:00 AM, Orpius wakes up and gets to work. It scans the incoming folder, pulls the data, logs it in Excel, archives the files, and sends a summary. It runs entirely in the background without human supervision.

How Was the Task Initially Set Up

Although Orpius could execute this task using a single agent, we deliberately split the task between two agents. We delegated the data extraction step to another agent using a more cost-efficient model.

In our example:

Gemini 2.5 Flash is used for receipt data extraction

Gemini 3 Flash is used for the broader task execution

Agent collaboration is central to Orpius. You can assign the most appropriate agent to each part of a task, resulting in efficient and cost-effective execution.

Agent-to-Agent Delegation with Operations

To enable this, we created an Operation.

Operations allow agents to delegate work to other agents. They can be called internally by other agents, or externally by applications and services integrating with Orpius.

Step 1: Create an Operation

This Operation is responsible only for extracting data from receipt images.

  1. Open Operations.

  2. Select Add (+).

  3. Enter Operation name for exampe: FileContentEnquiries

  4. Choose the Agent that will handle requests. This can use a cost-efficient model (for example, Gemini 2.5 Flash), but you should always test whether the model is capable of handling the task. You can switch to a more capable model if needed.

  5. Enter Instructions to Agent:

    "You will receive a request to extract data from a financial receipt represented as an image. Use the ImageAnalysis tool to understand the content of the receipt and extract the data. Return the extracted data as JSON".

  6. Enable the Image Analysis tool (Only enable the tools the operation really needs. Tools are disabled by default for safety.)

  7. Save, then copy the External ID.

Step 2: Create the Scheduled Task via Chat

  1. Enter instructions to Agent:

"Every day at 9:00 AM:

  1. List all files in the Receipts folder.
  2. If the folder is empty, send a notification to me.
  3. For each file:
    • Call the internal Operation (paste the External ID) using the file path as input.
    • Extract the data from the JSON response.
    • Append the extracted data (Date, Item, Price, Tax, Total, Category, and filename) to Ledger.xlsx.
    • Move the processed file to the Processed folder.
  4. Calculate the total sum of the Total column for the processed batch.
  5. Send a notification to me with the total sum".

How it Works

The task is configured to run automatically every day at 9:00 AM.

For the purpose of the demonstration, we triggered it manually.

We uploaded three receipts and asked Orpius a simple question: "Are there any tasks scheduled for today?"

Orpius didn't just give us a list of scheduled task; it noticed the new files and asked if we wanted to process them immediately. Once we gave the green light, the system took over.

  • Orpius uses another AI agent to "read" the receipts and turn the scanned images into structured data.

  • Once a receipt is logged in the Ledger.xlsx, Orpius moves it to a Processed folder.

  • Instead of you checking if the work is done, Orpius tells you. It send you a summary to confirming the total amount ($96) and the status of the files.

Why This Matters

While processing three receipts is a simple example, it demonstrates the core pillars of Orpius:

  • True Ownership: It doesn't just run a script; it manages a workflow.

  • Flexibility: It integrates with your existing tools (Excel, Email, Folders).

  • Intelligence: It uses AI to handle the "unstructured" parts of the job, like reading a blurry receipt.

Moving Toward Autonomous Operations

Our goal with Orpius isn't just to automate a single click. It's to allow AI agents to own entire operational cycles. Whether it's receipts, invoices, or data entry, Orpius detects the work, executes the steps, and reports the outcome.

With systems like Orpius, operational work can finally run itself.