Field guide / AI operations
What can an AI agent actually do in a machine shop?
It can bring approved records together, explain a condition, suggest a next step, and alert the right person. Operational changes need defined permissions and approval.
Evaluate one capability at a time
Start by separating read, explain, recommend, alert, and write. Reading retrieves permitted records. Explaining connects an answer to those records. Recommending proposes a next step for a person to judge. Alerting delivers a defined exception to an approved recipient. Writing changes the source system and requires a separate authorization boundary.
Illustrative example: an agent reads an open job and its purchasing dependency, explains that the receipt date is unconfirmed, proposes a buyer check, and alerts the responsible role. Moving the due date is another capability entirely. Choose the required capabilities and approval boundaries when defining the workflow.
| Capability | Example | Required boundary |
|---|---|---|
| Read | Retrieve job and purchase records | Minimum permitted access |
| Explain | Cite an unconfirmed receipt | Source references and freshness |
| Recommend | Propose supplier confirmation | Reviewer owns the decision |
| Alert | Notify the approved buyer | Recipient access and routing |
| Write | Apply a reviewed field change | Explicit scope and approval |
Use a deterministic report when the question is fixed
A report can be enough when the team needs a stable list of overdue open orders from one well-maintained source. Clear filters and predictable calculations can make that review easy to validate. Adding an agent needs a reason, such as joining approved sources, interpreting a question, or presenting the record-level explanation in context.
Test the difficult cases before choosing the approach. A natural-language answer still needs correct identifiers, field definitions, and data access. If the source does not record inspection completion, an agent cannot establish it from confident wording. The useful behavior is to identify the missing field and request confirmation from the person who owns it.
Make proposed actions inspectable before execution
For a proposed change, show the target record, fields, current values, proposed values, reason, and source timestamps. Name the approver and define what happens if the underlying record changes before approval. A recommendation accepted in conversation should not silently broaden system permissions or authorize unrelated changes.
The scope review should also define how actions are recorded, how failures are reported, and who handles recovery. Purchasing, stock, schedules, and customer commitments may require different approvals. Ask for a demonstrated workflow under the actual permissions before relying on automated writes; a generic capability description cannot substitute for that validation.
Keep remembered context within an access boundary
If a workflow uses memory, distinguish personal notes from shared operational context. Define who can read, edit, retain, and remove each item. A previous resolution can help a reviewer ask a better question, but it should not overwrite current source evidence or become a standing approval for future changes.
Evaluate stale data, unavailable sources, ambiguous job names, and restricted records. The expected response should identify uncertainty and preserve the access boundary. Bring one question that currently requires cross-system review to a scope conversation, along with its decision owner and existing approval process. The machine-shop solution and integration hub explain that evaluation path for SPOF.
Start with one operational question.
Tell us what your team keeps looking up. We will talk through the workflow and the systems behind it.
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