A composite scenario — not yet a completed engagement
This is a worked example built from the patterns we see across procurement teams: the systems, the handoffs, and the workarounds are modelled, not measured from one customer's deployment. We'd rather show you the thinking in full than dress up a hypothetical as proof.
Worked Example · Procurement
Worked example: procurement. Your ERP isn't broken. The work between systems is.
A mid-market manufacturer already ran a capable ERP. It had supplier data, purchase orders, inventory, and years of procurement history. Its buyers still spent the day moving information between six systems. Here's how a Workbench would turn a fragmented process into one place to get the work done.
The problem
A 150-person manufacturer. A five-person procurement team. Purchasing ran through the ERP — on paper, a clean four-step process.
In reality, the same request looked like this.
The software wasn't broken. The workflow was.
The buyer had become the integration layer — moving information between systems, rebuilding context, chasing status, and making sure the pieces eventually lined up.
Before
The buyer is the glue
- ERP, Outlook, Excel, supplier portals, Teams, SharePoint
- 142 open POs, and about 15 exceptions a week pieced together by hand
- Repeated data entry back into the ERP
- Spreadsheet tracking and email follow-ups
After
The workflow is the glue
- One work queue across every request
- One context, assembled automatically
- One decision point per exception
- Actions flow to the systems underneath
The same work, in a Supplier PO Exception Workbench
Instead of moving information between systems, the buyer starts from a queue of the POs that need attention, each with its evidence, what it affects and a recommended next step.
Demo · Supplier PO Exception Workbench
Know which late purchase orders will stop your line, and close them out.
Recognize this? The status of one PO lives in six places.
Monday, Oct 5. Maya Ortiz buys machined parts for a mid-size manufacturer. She has 142 open POs. This is one of them.
Where PO 4512 lives this morning
- ERPPromise date Oct 12, confirmed in September
- Supplier email"Tooling issue on line 2. New date Oct 26." Only Maya has seen it.
- Open-PO sheetMaya's own list. Still says Oct 12.
- PlanningNeeds the housings by Oct 20 for an assembly run
- Sales ordersBrightline ships Oct 28, Keller Nov 2. Both depend on that run.
- PhoneLast week's call with the supplier. Nobody wrote it down.
What it takes Maya to piece it together
- 0:00Open the open-PO spreadsheet
- 0:04Search the inbox for "4512" and find the email in a long thread
- 0:11Check the ERP. Still Oct 12.
- 0:14Message planning: when do you need these?
- 0:14–0:38Wait for a reply
- 0:38Planning: "Oct 20"
- 0:45Work out which customer orders depend on it
45 minutes for one exception, and about 15 like it a week.
And it gets harder. On Oct 14 the supplier writes "working on recovery, will confirm Monday." It sounds like progress. There's still no date, and the need date is six days away.
What happens underneath
This is the architectural difference. The existing systems stay exactly where they are. The Operations Engine coordinates them, so the employee doesn't have to.
Supplier PO Exception Workbench
Sits on top of what you already run
ERP
POs & requisitions
Outlook
Supplier email
Inventory
Availability
The employee sees one workflow. The layer orchestrates everything underneath.
AI interprets. Rules govern. The workflow orchestrates. People decide.
AI does the machine work
- Reads supplier emails and PDFs
- Extracts quantities and dates
- Normalizes responses and matches them to POs
- Opens each discrepancy as work and drafts the communications
The Operations Engine does the business work
- What state is this request in?
- Who owns it, and who approves?
- Which rules apply, and what counts as an exception?
- What happens next, and what gets recorded?
People decide
- Accept
- Negotiate
- Escalate
- Approve or override
Why this isn't just an AI agent bolted onto your ERP.
Ask an agent "Which POs have supplier delivery exceptions?" and you get a useful answer. But the employee still has to work out why the exception matters, who needs to act, which customer commitment is affected, what inventory is available, what approval is required, and what happens next. An Operations Workbench starts from those questions. It isn't an AI interface to the ERP — it's a new way of running the work.
The value, made measurable
Illustrative arithmetic for the same team: 142 open POs and about 15 supplier exceptions a week, each taking 45 minutes to piece together by hand today.
Hands-on time per exception
45 → 10 min
piecing it together → reviewing and approving
Buyer time recovered
≈ 420 hrs a year
15 exceptions a week × 48 weeks × 35 min
One exception like PO 4512
$7,600 saved
a $1,800 split instead of a $9,400 expedite
Buyer time, at $75 / hour
~$31,500 a year
420 hours back to the team
Customer shipments kept
$214,000
Brightline and Keller ship on time, from one exception caught on Oct 5
These are illustrative figures for a composite scenario, not LevelOneAI customer results. We measure them against your own baseline when we set up your Workbench.
Run your own numbers on the pricing pageBuyer time is the smaller number. The larger one is usually the expedites, premium freight and late customer shipments avoided, plus a slip history for each supplier to bring to the next negotiation.
And then the business changes
This is where purpose-built software earns its keep. The workflow adapts to the organisation — the systems underneath don't have to.
The team grows
Five buyers become fifteen. Add users — nothing is rebuilt.
Approval policy changes
Thresholds move. The rules change; the application doesn't.
A strategic supplier program
Add quality review, annual certification, and executive approval for exceptions.
An acquisition
Two business units share one workflow, with different roles, rules, and approval paths.
Traditional enterprise software asks how your company should change to use it. An Operations Workbench asks how your company actually works — and what the software should do around that.
Your systems stay. Your workflow changes.
Have a problem that runs across your systems?
Show us how the work actually gets done.