The order arrives messy. It leaves SAP ready.

AI-assisted order entry uses AI to interpret an incoming customer request, map it to the products and information stored in SAP, identify missing or uncertain information, and prepare the sales order before a representative approves it. With Frontleap, the AI works alongside the existing ERP rather than replacing it. SAP remains the system of record, while Frontleap handles the operational work required to turn an unstructured customer request into a clean, validated transaction.

Frontleap reads the customer request from an email, PDF or information captured during a call and identifies the products, quantities and other order details it can determine. It then resolves those details against your catalogue and relevant ERP context, including stock, pricing, customer information and previous orders. Instead of guessing when information is unclear or missing, Frontleap surfaces the exception to the representative. The rep reviews the prepared order and approves the clean transaction before it reaches SAP.

Yes. Frontleap is designed for the gap between how customers describe products and how those products are represented in the ERP. A customer may use an abbreviation, an old part number, a local nickname or a description such as “the usual 12 inch.” Frontleap uses catalogue information and operational context to resolve that language to the appropriate product. When there is not enough information to make a reliable match, it asks the representative rather than silently selecting a material.

Frontleap can use the information surrounding the transaction — including catalogue data, inventory, pricing, customer account information, previous orders and business context — to prepare the order before it reaches SAP. The objective is not simply to extract fields from a document. It is to determine whether the order is ready to process and identify what still requires a human decision. Missing information, uncertain matches, pricing questions and other exceptions remain visible to the representative for review.

Frontleap is designed around human approval where a business decision is required. The AI prepares the order, resolves what it can from your systems and operational knowledge, and isolates the exceptions that genuinely need attention. The representative can then review, correct and approve the result before the validated transaction is sent to SAP. This allows teams to automate repetitive order preparation without asking an AI system to make business decisions that should remain with the people operating the desk.

No. Frontleap runs alongside SAP rather than replacing it. SAP remains the system of record for the transaction, while Frontleap provides an execution layer where frontline teams can prepare orders and make operational decisions. This separation means the order desk can get a simpler, task-oriented workspace without turning the initiative into another ERP replacement project. Frontleap connects to the existing enterprise environment and sends validated transactions back to the system of record.

A typical Frontleap deployment runs approximately one to three months. The process starts by connecting the relevant enterprise systems and modelling the workflows, terminology and rules used by the order desk. Frontleap can then be introduced with one team, location or workflow before expanding more broadly. The objective is to prove the workflow against the customer’s own operating baseline rather than require a large transformation program before the order desk can start using the product.