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Flagship use case

Operations Exception Intelligence

Detect exceptions across orders, inventory, invoices, and tickets; explain the likely drivers; route the fix to the accountable owner.

The problem

Operational exceptions such as late shipments, margin leakage, unmatched invoices, and stalled tickets are visible somewhere, but only after someone stitches five reports together. By the time the right person sees it, the cost is already booked.

Our approach

We connect the systems where exceptions originate, define what 'normal' looks like with your operators, and deploy an agent that detects deviations daily, assembles the evidence, explains the probable cause, and routes a drafted resolution to the owner for approval. Every step is logged, and nothing changes in a system of record without a named approver.

Hours → minutes

Time to identify and route an exception

Illustrative target for a mid-size distributor; the actual metric is agreed during the sprint and instrumented in the pilot.

Systems involved

CRMERP / accountingWarehouse or WMSSpreadsheetsTicketingSupport tools

Workflow

Detect, explain, evidence, route, resolve.

Nothing changes in a system of record without a named approver. Every step is logged with the evidence the approver saw.

  1. 1

    Detect exceptions

    Scheduled checks compare live data against thresholds, trends, and business rules defined with your team.

  2. 2

    Explain likely drivers

    The agent correlates the exception with recent changes in pricing, suppliers, staffing, or system edits, and ranks probable causes.

  3. 3

    Assemble evidence

    Source records, timestamps, and prior cases are collected into a single brief with citations back to each system.

  4. 4

    Route to accountable owner

    Human approval required

    The brief and a drafted resolution go to the named owner in Slack, Teams, or email. Nothing is executed without their approval.

  5. 5

    Track approval and resolution

    Approved actions are applied through scoped integrations, confirmed, and recorded in an auditable history.

Outcomes

What changes for the business.

  • Faster time to identify and resolve issues
  • Fewer manual reporting hours per week
  • Reduced errors, leakage, and backlog
  • Clear ownership and an auditable trail for every resolution

Related solutions

Put AI to work without giving up control.

A fixed-scope Opportunity Sprint: your system map, three prioritized use cases, and a pilot plan in two weeks.

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