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Product

One workbench for the work between your systems.

Every change, what it puts at risk, and the next step, until it's resolved.

Workbench · Supplier PO exceptions

PO 4512 · Machined housings

Ridgeway Machining · Owner: Maya Ortiz

$214K at risk

Pulled together from 4 places

  • Supplier emailNew delivery date Oct 26 · was Oct 12 · Oct 5, 7:48 AM
  • ERPPO still shows Oct 12 · conflicts with the email
  • Production planRun A-88 needs the housings Oct 20 · 6 days short
  • Customer ordersBrightline $138K · Keller $76K · would ship late

Options

Wait

$214K ships late

Expedite

$9,400

Split shipment

$1,800

Recommended

Decided Oct 5, the day the email arrived.

Approve split

Illustrative example · sample company and data

Not a dashboard. Not an alert. A workbench your team works from.

It is not

  • A dashboard

    Reports what the systems say. Someone still has to act on it.

  • An alert

    Hands someone a problem, then moves on.

  • An AI agent

    Does a step when it's told, then moves on.

It is

A LevelOneAI workbench

Where your team works each issue through to resolution.

  • One record for each order, PO or invoice, with the evidence
  • An owner, the next step and a drafted follow-up
  • Keeps track across days and people, without being asked
  • Stays open until it's resolved, and changes nothing without approval

Is this a fit?

LevelOneAI fits best when most of these are true

  • A recurring workflow with real financial or customer consequences
  • Important changes arrive by email, a call or a spreadsheet
  • The information is split across several systems or teams
  • Someone chases exceptions and follow-ups by hand
  • Enough volume or risk to justify setting it up

How it works

The same four steps on every item

  1. 1

    Work

    Each order or PO becomes one record, matched across email and systems.

  2. 2

    Context

    What changed, against what was promised, with the source of every fact.

  3. 3

    Decision

    What it puts at risk, the options, and who needs to decide.

  4. 4

    Action

    An owner and a next step, tracked until there's proof it's resolved.

AI reads the messy evidence. Fixed rules compare dates, score risk and match records. People approve anything that changes a system.

What becomes a work item

A commitment changes

A date, quantity or price moves and no longer matches the ERP or what the customer was promised.

Something downstream is at risk

The run, customer order or invoice that depends on the change.

Work stalls

A follow-up went quiet, or a handoff nobody picked up.

Trust

Built to be trusted

Read-only by default

Write-back is optional, and every update is approved.

People make the calls

Expedites, credits and anything customer-facing stay with your team.

Every fact shows its source

The evidence, the dates compared and why it matters.

Accuracy is measured

Signals are checked against what actually happened.

Trust & Data

See it on your own work.