Most order automation conversations start with speed: How quickly can we get a customer purchase order into our ERP?
That’s the right track to take, because a slow, error-prone intake process holds up the entire order-to-cash flow, and every order stuck in manual entry becomes a bottleneck for everyone downstream. But speed on its own just moves the bottleneck further along the chain. Another question to ask is how to get orders in quickly and correctly the first time, so they don’t come back later as a correction, a fulfilment delay, or an invoice dispute.
This is where an order capture agent comes in, making order intakes an upstream control point rather than a clerical handoff. By extracting incoming order data, validating it against business rules and known customer behavior, and routing exceptions for review, AI order capture can identify problems before they flow into inventory, invoicing, and customer service.
Why should enterprises treat order capture as a control point?
Order capture is the earliest practical point at which an organization can determine whether incoming order data is complete, consistent, and ready to process.
In a conventional workflow, a customer sends a purchase order by email or PDF. Someone reads it, interprets the fields, keys the information into the ERP, and resolves anything that looks wrong.
The problem is that manual entry is doing two jobs at once: transcription and judgment.
When volume rises, teams can become focused on getting orders entered quickly. A missing reference, unusual quantity, incorrect item mapping, or inconsistent customer detail can therefore become an ERP problem instead of an intake problem.
An order capture agent changes that sequence.
Fortude’s Order Capture Agent receives email or PDF purchase orders, structures the order information, checks it against business rules and buying history, routes flagged exceptions to the order desk, and creates clean orders automatically.
The objective is two-fold, faster entry and better data entering from the get-go.
What happens when poor order quality gets past intake?
A bad order rarely stays an order-entry problem. Once accepted into core systems, incorrect data can influence multiple downstream processes.
Consider an order containing the wrong item code or an unexpected quantity. If it is accepted without validation, the impact can extend to:
- Inventory availability and allocation
- Warehouse picking and fulfilment
- Delivery dates and logistics
- Invoice accuracy
- Credit or pricing checks
- Customer service queries
- Subsequent reporting and demand signals
Each downstream team may then spend time investigating a problem that originated at the first point of entry.
This is why the business case for an order capture agent should not be measured only in keystrokes eliminated. .Enterprises should also consider rework prevented, exception volumes, order accuracy, cycle time, and the number of issues detected before data is entered into the ERP.
How does Fortude’s order capture agent improve upstream order quality?
An AI order capture agent combines document understanding, validation, automation, and human review so that clean orders can progress while uncertain orders are intercepted early.
Fortude’s current workflow follows six stages: order arrival, capture, extraction, validation, review, and order creation.
1. Order Arrives
A purchase order comes in by email or PDF, the channel the customer already uses.
2. Capture incoming orders
The order is uploaded on the order-desk screen inside Infor CloudSuite. There is no need for a separate system to log into.
This matters because AI order capture starts at the channel where customers already transact. Businesses do not necessarily need to force every customer onto a new portal simply to automate intake.
3. Extract
The order capture agent reads the document and converts relevant order details into structured information.
This is where intelligent document processing goes beyond visually reading a PDF. Microsoft’s intelligent document processing capabilities, for example, show how AI and automation can be used to process information contained in business documents. Microsoft’s AI Builder capabilities for document processing also illustrate how extraction, categorization, and validation can form part of automated workflows.
4. Validate
This is the crucial control point. Fortude’s Order Capture Agent checks extracted information against the customer’s business rules and buying history before creating the order.
Validation can help answer questions such as:
- Does the captured information meet the requirements for order creation?
- Is the order consistent with known customer activity?
- Does something require review before processing continues?
5. Review
Not every order should be reviewed by humans. Clean orders progress automatically; customer service or order-desk employees review cases that need judgment. Only flagged exceptions reach the order desk.
This human-in-the-loop model is increasingly relevant to enterprise automation. Fortude’s approach to intelligent document processing combines document processing, generative AI, automated exception handling, and human review to significantly reduce processing time in document-driven workflows.
6. Order created
A clean order is auto-created and ready to fulfil. Every order lands in a staging area inside Infor CloudSuite with its original document attached.
How is an order capture agent different from OCR?
OCR extracts text. An intelligent order capture process uses extracted information to decide whether an order is ready to proceed.
OCR can therefore be an ingredient in AI order capture, but extraction alone does not create the upstream control layer.
Where does anomaly detection strengthen AI order capture?
Anomaly detection can extend validation by identifying orders that are technically complete but unusual enough to deserve attention.
Imagine a long-standing customer normally orders 100 units of an item but suddenly submits an order for 10,000.
The document itself may be perfectly readable. Every required field may be present. Yet the order could still justify a human check.
That is where anomaly detection can add another level of control.
For Fortude’s order capture agent, anomaly detection is currently positioned as an optional add-on rather than part of the standard package. This distinction matters: organizations should determine which anomalies are commercially meaningful rather than flagging every deviation and creating another exception backlog.
As organizations mature beyond individual automation use cases, agentic AI solutions can also provide a broader framework for AI agents that act across defined workflows, systems, and decision points while operating within appropriate controls.
Can enterprises introduce an order capture agent without replacing their ERP?
Yes, intelligent capture can operate as a layer around an existing ERP rather than requiring a wholesale platform replacement.
Fortude’s architecture supports two technology paths. Organizations can use Infor Velocity Suite, including Infor RPA, Document Processor and GenAI capabilities, or a Microsoft-based path using Power Automate and Copilot Studio. Both paths can ultimately create orders in Infor CloudSuite through Infor APIs.
Infor currently positions Velocity Suite as an AI and automation layer that works alongside Infor CloudSuite, incorporating agents, GenAI, process mining and automation capabilities.
For enterprises already invested in Infor, this makes the order capture agent less about adding another standalone system and more about extending the value of the existing environment.
Fortude’s Infor CloudSuite consulting and Intelligent Automation capabilities support this broader approach to connecting automation with core enterprise processes.
What does implementation realistically involve?
A successful order capture agent implementation requires more than switching on an AI model; the capture channels, document formats, business rules, integrations, testing, and exception processes must work together.
The roadmap runs six weeks end to end: mobilization in week 1, configuring capture in weeks 1–2, building to the system in weeks 2–4, testing and UAT in weeks 4–5, with business sign-off, and go-live and hypercare in weeks 5–6, with the team live as orders start flowing.
It’s delivered as a fixed-scope and fixed-fee package. It includes a one-time implementation fee to get the agent configured, tested, and live; an annual support and updates fee covering accelerator updates, template and prompt tuning, monitoring, and break-fix; and the underlying technology, which runs on the customer’s existing platform components (RPA, IDP, GenAI), often at near-zero incremental cost.
The packaged scope includes one order inbox plus upload capability, up to ten PO formats, one order type, and one company. Add-ons beyond the base package include anomaly detection, a voice channel, and support for extra formats or entities.
The practical lesson is important: start with a defined order population, prove that extraction and validation work on representative documents, then expand.
Is an order capture agent worth it?
An order capture agent is most valuable where manual order intake is creating both administrative effort and downstream operational risk.
Strong candidates include organizations where:
- Significant order volumes arrive through email and PDFs
- Teams repeatedly re-key purchase-order information
- Multiple customer formats make standardization difficult
- Order errors create fulfilment or billing corrections
- Skilled customer-service employees spend too much time capturing data
The goal is not automation for automation’s sake. It is to move quality control upstream, where problems are cheaper and easier to resolve.
For enterprises exploring this model, Fortude can help assess the existing order-intake process, identify validation opportunities, and determine whether an order capture agent built on Infor Velocity Suite or the Microsoft stack fits your current technology landscape.
Talk to Fortude about assessing where intelligent order capture can improve order quality before the next transaction enters your ERP.
