Surface the conflict
Keep the incoming request and approved reference record visible together.
Exception Operations
Resolve recurring exceptions with clearer evidence and ownership.
Exception Operations is a research-stage GZP workflow for work that falls outside normal rules or expected data. It is designed to help identify the issue, assemble relevant context and route the case to an accountable owner. Master data, order and inventory discrepancies provide a bounded starting point, with authorised decisions linked to the original work.
Discuss your exceptionsTHE OPERATING PRESSURE
Where work slows down
Use these patterns to identify what is happening in your own operation.
- Price, quantity or unit-of-measure mismatches
- Missing information and conflicting records
- Cases waiting for a decision with no clear owner
- Recurring corrections that consume staff time
HOW IT WORKS
A clear path through the work
- 01
Detect
Identify a mismatch, missing requirement or case outside the normal path.
- 02
Classify
Describe the issue and assemble the context needed for review.
- 03
Route
Direct the case to the person responsible for the decision.
- 04
Record the outcome
Keep the authorised decision and resulting status connected to the case.
THE GZP OPERATING DISCIPLINE
How GZP worksAI interprets. Rules decide. Humans retain authority.
Messy work. Controlled execution. Measurable outcomes.
CONTROLLED EXECUTION PATHILLUSTRATIVE MODEL
- 01Capture
- 02Interpret
- 03Validate
- 04Authorise
- 05Complete
ORDERS AND EXCEPTIONS
The order pauses. The exception gets an owner.
AgentKaki Order may encounter conflicting pack sizes, missing product mappings or approval-dependent prices. Exception Operations is designed to organise the evidence, identify the decision owner and keep the authorised resolution linked to the order.
Structure the decision
Identify what is uncertain, who can decide and what remains blocked.
Review what can be reused
Repeated approved resolutions may become operational guidance after owner review. A past decision does not automatically change a rule or authorise the next order.
Proposed relationship between research-stage workflows; reusable guidance and system execution require implementation and validation.
SUITABLE STARTING POINT
One workflow. A boundary you can test.
Begin with one recurring exception family and a clear decision owner. A read-first review of SKU, UOM, order or inventory records can establish the pattern before any corrective action is considered.
WHAT TO MEASURE
Make the improvement observable
Agree a representative baseline and acceptance criteria before a pilot. Compare the same scope and include the effort needed to review exceptions.
- Time to resolution
- Manual touches per case
- Approval waiting time
- Repeated exceptions
- Age of unresolved cases
- Operator workload
COMMON QUESTIONS
What to know before a pilot
What is operational exception management?
Operational exception management identifies cases outside the normal workflow and routes them to the appropriate rule, person or process for resolution.
Why do some exceptions need human review?
They may involve commercial judgement, incomplete information or authority to depart from a rule. AI interpretation alone does not grant that authority.
Can this apply beyond master data and inventory?
Potentially. Pricing variances, service requests and other approval-dependent work may fit when exception types and decision rights can be clearly defined.
Does it replace the ERP or automatically repair records?
No replacement or automatic repair is assumed. The initial scope can be read-first, with evidence and recommendations prepared for an authorised reviewer.
Research-stage workflow. This page describes a workflow pattern being evaluated by GZP. Actual scope, integrations, controls and measurable outcomes depend on the customer workflow and pilot evidence.
START WITH THE WORK
Discuss your exceptionsBring one exception that keeps returning.
Prepare a short summary of trigger, context, authority, resolution and the operational impact.