All case studies / POC
Agentic order-to-cash.
An order desk juggling quotes, availability checks and supplier orders by hand.
- Client
- An IT hardware provider
- Sector
- IT distribution, revenue operations
Growth goal
Let an order desk handle more orders without more people checking stock, compatibility and suppliers by hand.
Operating constraint
Every order meant checking stock, verifying device compatibility and chasing suppliers for missing parts.
Validated result
Validated against live order cases, with the points where a person still decides documented.
The full story
- Baseline
- Quotes, availability checks and supplier orders juggled by hand. Slow, error-prone and hard to scale.
- System
- A coordinated order flow covering customer queries, stock and compatibility checks, and draft supplier orders for missing parts.
- Controls
- Draft orders only. A person releases every supplier order, and validation recorded where human review stays.
- Result
- Validated against live cases. The review points are documented for a production build.
In depth
An order desk that wanted to take on more demand
You run an order desk that sits in the middle of your revenue. Sales sends quotes. Customers ask for changes. Suppliers drip-feed confirmations. When orders are small and predictable you can keep up with email, spreadsheets and memory. As volume grows, each new request adds pressure. You wanted to handle more orders without adding more people to check stock, compatibility and suppliers by hand. The opportunity was there in the market. The question was whether your operation could keep pace without quality slipping. This is where the work started.
On paper, the flow looked simple. A quote comes in, a customer confirms, you check whether devices are compatible and in stock, you place orders with suppliers for anything missing. In reality, your team was juggling partial information and one-off requests all day. Every new opportunity meant another thread to track. The risk was not losing orders to competitors. It was losing control of what had been promised and whether you could actually deliver it on time and in full.
Where the existing way of working hit its limit
Before the project, quotes, availability checks and supplier orders were all juggled by hand. A customer would confirm a quote or ask a question. Someone at the desk would open a mix of tools, check device availability, check compatibility rules and then chase suppliers for missing parts. Nothing in that flow helped them keep track of what had been checked already or which supplier responses were still missing. It was slow, prone to human error and hard to scale as more demand came in.
The operating constraint was clear. Every order meant re-running the same checks from scratch, across the same set of systems, with the same back-and-forth to suppliers. There was no shared view of an order from customer question through to supplier commitment. People were the glue holding everything together. That made growth painful. More orders meant proportionally more manual checks, more follow-ups and more risk that something would slip through, only picked up once a customer chased for an update.
What SIEL built and how the pieces fit
SIEL worked with the team to build a coordinated order flow that matched how the order desk already thought about the work. The system starts from customer queries and confirmed quotes. It pulls the relevant details together, then runs stock and compatibility checks as a single workflow instead of scattered lookups. For any parts that are not available, it prepares draft supplier orders. The goal was not a new tool for its own sake. It was a single flow that could cover the checks the desk already did, so each order moved forward the same way every time.
The flow coordinates several activities that were previously separate. Incoming requests are interpreted and linked to the right quote and product records. Stock levels and compatibility rules are checked through the existing systems. Where items are missing, a draft supplier order is assembled with the required lines and context. The whole path from customer query through to supplier draft is visible. People still own the decisions on anything unusual, but they no longer have to rebuild the information needed for each order from scratch. The system does that assembly work for them.
How people stayed in control of orders and decisions
From the outset, the client wanted to keep human control over supplier commitments. SIEL designed the proof of concept so that it only generated draft supplier orders. A person at the order desk still reviewed and released every supplier order. The system made it faster to get to a good draft and highlighted the checks it had already performed. The human reviewer stayed responsible for deciding whether the order could be sent as is, needed changes or should be held back while something was clarified with the customer or supplier.
Controls were built into the workflow, not bolted on afterwards. The system recorded where its recommendations ended and where a person had to decide. During validation against live cases, each point that still needed human judgement was noted. That included scenarios where compatibility rules were unclear or where supplier behaviour did not match the usual patterns. This record of review points is now part of the design for a production build. It gives the client clear boundaries. They know which steps can be automated with confidence and which will remain as explicit human approvals.
What changed and what it means for similar operations
The proof of concept was validated against live order cases, not artificial examples. The team could see how the coordinated order flow handled real customer queries, stock checks and supplier gaps. They saw which steps the system could cover and where it sensibly handed back to a person. By the end, the review points were documented and ready to guide a production build. The client did not just have a demo. They had a mapped path from their current manual process to an operation that could support more demand without losing control.
If you run a similar order desk, the pattern is the same. Growth brings more quotes to track, more compatibility checks and more partial supplier responses. The risk is that your best people spend their time stitching information together instead of making decisions. SIEL’s role in this case was to connect the existing systems into one order flow, add the intelligence to run predictable checks and keep humans clearly in charge of supplier commitments. Six months after a production build, you would expect a team that can handle more volume with clearer visibility into each order’s status and where decisions sit.
Fixed fee, agreed before we start. A senior engineer replies within two business days.
