Why Us · Where this goes
Start with one workflow. End up with a business that knows how it works.
Your team stops re-explaining the same suppliers, substitutes and sign-offs. Each exception you resolve leaves behind something checked and reusable, so the next decision is better informed and the next workflow is a step, not a new project. You stay in control of what it knows and what it does.
The real problem
Your systems record what happened. How your business actually works lives somewhere else.
What your ERP records
- Purchase orders and promised dates
- Inventory and receipts
- Production jobs and schedules
- Customer orders and invoices
What your team knows
- The planner's spreadsheet that overrides the stock number
- Which supplier always ships a few days after the date it confirms
- The substitute part only one engineer knows is approved
- Who has to sign off before an expedite, and what they need to see
- Which customer's orders are never split
It's in spreadsheets, email threads and people's heads. When someone is out, it's out too.
A supplier email says a part will be five days late. Reading the email is easy. Knowing what it means for your business is the hard part: which job it holds up, whether there's a substitute and who approves it, whether the planner's sheet already covers it, which customer will notice. That's the knowledge LevelOneAI connects to the work.
How one workflow grows
The same Workbench sees more of your business at each step.
Take supplier delivery exceptions. You don't buy four workflows to get from a late PO to the customer it affects. Each step adds the context the next question needs, on top of what's already there.
- 1
Catch the change
"Which supplier dates moved, and is anyone on it?"
Supplier emailOpen POsYou add: Your email and an open-PO export
- 2
See what it threatens
"Which jobs or batches does this delay put at risk?"
Supplier emailOpen POsRequirementsStock and receiptsScheduleYou add: A requirements or schedule export, or one read-only ERP connection
- 3
Know what it costs
"Which customer orders and how many dollars are at risk?"
Supplier emailOpen POsRequirementsStock and receiptsScheduleCustomer ordersPromisesPrioritiesYou add: Open sales orders and which customers matter most
- 4
Choose the best way out
"Expedite, split, substitute or re-sequence, and who approves?"
Supplier emailOpen POsRequirementsStock and receiptsScheduleCustomer ordersPromisesPrioritiesApproved optionsCostsApproval rulesYou add: The options your team already uses, and who signs off
What's new at each step is highlighted. Some customers start at step 2 because the export is already there. Wherever you start, it's one Workbench, not four projects.
What it learns, and how it checks
It writes down how your business works, and asks before it relies on it.
Nobody fills in a knowledge base. It learns from the decisions your team already makes, notices patterns, and asks the person who knows with one tap: "Acme has shipped about 5 days late on 6 of the last 7 POs. Plan around it?"
Which source wins
For stock on hand, the planner's sheet beats the ERP export.
Confirmed by the production planner
How a supplier behaves
Acme ships about 5 days after the date it confirms.
Seen on 6 of the last 7 POs · confirmed by the buyer
Workarounds
Part 7781-B can replace 7781-A, except for one customer's orders.
Stated by the manufacturing engineer
Who decides
Expedites over $5,000 need the plant manager.
From the approvals your team already makes
Illustrative example · sample company and data
You can see all of it
Everything it has learned is listed, with where it came from. Edit it, retire it or confirm it again at any time.
Nothing becomes a rule on its own
A one-off fix stays a one-off. A pattern is only a suggestion until a named person on your team confirms it.
It stays current
When recent decisions contradict something it learned, or its owner moves on, it's flagged for review instead of quietly going stale.
It never acts on its own
What it knows shapes what it flags and recommends. Changing an order, holding production or updating your ERP still needs approval.
Why it compounds
Learned once, used on every decision after.
Week 1
PO 4512 slips
The buyer resolves it with a split shipment. The Workbench notices Acme's confirmed dates keep moving and asks if that's a pattern. The buyer confirms it.
Week 3
PO 4690 is confirmed
Acme confirms Nov 12 and nobody's worried. The Workbench plans around Nov 17, sees the job that needs it on Nov 15, and flags it two weeks early.
Month 3
A second workflow
Your planners start a Material Shortage Workbench. It already knows Acme, the planner's sheet, the substitutes and who approves expedites. Setup is configuration, not discovery.
Illustrative example · sample company and data
That's the difference from adding AI tools one task at a time. You aren't buying a growing collection of separate workflows. You're building a more complete, checked picture of how your operation works, and every Workbench uses it.
What stays yours
Your operational knowledge belongs to you.
What your team confirms is kept for your company only, encrypted with your own key, and never used to train models or to inform another customer's results. Export it at any time, including a readable record of how you work, and if you leave, you keep it. That record also helps when someone new joins or a key person moves on.
Trust & DataYour email stays in your mailbox
Read by your own AI assistant; never stored by LevelOneAI
Your systems stay the record
Nothing changes in them without approval
Your knowledge is exportable
Rules, history and decisions, in an open format, any time
Our staff can't see it
Only with time-limited access you approve, and every access shows in your activity log
AI providers don't get it
Starter sends none of your data to AI model providers. Any model a Workbench uses is agreed with you first, with no retention and no training
What it learns from, and what it doesn't
It learns your business for you, not from you for someone else.
Your business
Your suppliers, substitutes, overrides and approvers, confirmed by your team and used only in your workspace.
How your workflow runs
It can suggest a better threshold or fewer false alarms. Nothing changes until you approve it, and every change is logged.
Across customers
Your data never informs another company's results. The product improves through software fixes and test cases, not your suppliers, prices or workarounds.
Everything it relies on is stored as plain records with their sources, not hidden in a model's memory. Your settings show what it knows and an activity log of every change, export and access.