Agent responsibility
Retrieve current guidance
Retrieve the current procedure and draft a source-linked answer or refer the question to the owner.
Policy-linked answer
Retail & commerce / Operations / Solution blueprint
Store operations guidance
Help store teams find the current operating procedure.
Business problem & expected outcomes
The challenge behind
store operations guidance.
Store staff receive policy updates through multiple channels and may use an older version.
What this workflow is designed to deliver
Policy-linked answer
Retrieve the current procedure and draft a source-linked answer or refer the question to the owner.
How to measure the improvementCurrent-version retrieval; response grounding; escalation accuracy.
Start with the right information.
Approved store procedures, effective dates, and the staff question.
Interactive workflow diagram
From store question
to a clear next step.
Retrieve the current procedure and draft a source-linked answer or refer the question to the owner.
Retail & commerceSelect a stage to explore
Context
Store question
Approved store procedures, effective dates, and the staff question.
Prepared outputPolicy-linked answer
Designed around the work
A focused agent. The right capabilities.
Give the agent the context and tools this process needs, with an explicit output and an accountable owner.
Connected tools & context
Bind only the operations this workflow needs. Keep credentials in ART and choose the permitted tools explicitly.
Knowledge Base
Project & environment scopeRetrieve approved guidance and attach source references to the prepared answer.
Agent Skills
Project & environment scopePackage the checklist, instructions, and expected output as a reusable skill.
The decision boundary
Staff review ambiguous guidance; the assistant does not change pricing or employee permissions.
ART product mapping
Components used.
Chosen for this case.
Agent Lab prepares the work described below. These are the capabilities that support this workflow.
Agent Lab
Knowledge Base
Retrieve approved guidance and attach source references to the prepared answer.
Agent Lab
Agent Skills
Package the checklist, instructions, and expected output as a reusable skill.
The implementation, step by step
From source context
to a reviewed result.
- 01
Store question
Approved store procedures, effective dates, and the staff question.
Agree the trigger or manual request, record identifiers, and the process owner. - 02
Retrieve current guidance
Retrieve the current procedure and draft a source-linked answer or refer the question to the owner.
Define instructions, permitted tools, and the expected output. Keep missing information explicit. - 03
Escalate exceptions
Staff review ambiguous guidance; the assistant does not change pricing or employee permissions.
Keep the pilot in preparation mode and use the team’s existing review process. - 04
Policy-linked answer
Current-version retrieval; response grounding; escalation accuracy.
Compare outputs with reviewed examples and test incomplete, conflicting, and unauthorized inputs.
Before you build
What this implementation needs.
Knowledge Base
An approved document set, content owners, and retrieval access boundaries.
Agent Skills
A process checklist, example inputs, and a reviewer-approved output format.
Also prepare an ART project and environment, the model configuration appropriate to your agent, an accountable process owner, and approved sample data.
Authority stays with your team
Define the boundary
before enabling the action.
Staff review ambiguous guidance; the assistant does not change pricing or employee permissions.
Explore execution governanceConnect deliberately.
Map the source material and responsible owners first. Where the selected components require system access, configure scoped APIs or tools. A document-based pilot can start with approved material already available in the workspace.
Make each handoff inspectable.
Keep source references with the prepared output and review representative results before expanding scope. If the implementation includes executable actions, define their required facts and authority first. Apply retention to any stored records, files, or memory used by the case.
Build evidence from your own work
Start small.
Agree what good looks like.
What to measure for this case
Current-version retrieval; response grounding; escalation accuracy.
Establish a baseline
Choose a bounded sample of completed cases, record the current process, and agree review criteria with the process owner.
Run in review mode
Use approved sample data and read-only connections. Compare prepared outputs with reviewer expectations, including incomplete and conflicting inputs.
Expand with approval
Enable a limited set of actions only after the team accepts the results. Check approvals, failures, and handoffs before increasing scope.
Make it your workflow
Try this approach
in Agent Lab.
Start with store question. Connect your approved tools, configure the review boundary, and adapt the output to your team's process.
Try Workflow in Agent Lab
Open your ART workspace to configure this use case.
Discuss the setup with usIndustry & department library
Find your next use case.
3 use cases in Retail & commerce
Retail & commerceWorkflow design
- ContextOrder exception
- Agent LabCheck order constraints
- Your teamOperations review
Prepared outputResolution recommendation
Solution blueprint
Order exception resolution
Give support a complete view of an order that needs attention.
Used in this case
Explore the implementation - Connectors & MCP
- Execution governance
- Human approvals
Retail & commerceWorkflow design
- ContextProduct draft
- Agent LabCheck source references
- Your teamContent-owner review
Prepared outputPublication checklist
Solution blueprint
Product content review
Prepare consistent catalogue updates with source evidence attached.
Used in this case
Explore the implementation - Knowledge Base
- File storage
- Agent Skills
- Human approvals
Retail & commerceWorkflow design
- ContextReturn request
- Agent LabCheck supporting evidence
- Your teamReturns-team handoff
Prepared outputReturn evidence pack
Solution blueprint
Returns evidence collection
Prepare a return review with the supporting records attached.
Used in this case
Explore the implementation - File storage
- Dynamic tables
- Agent Skills
Retail & commerce / Let’s explore the fit
Discuss your
industry use case.
Tell us where work slows down. We’ll discuss how ART could fit your process, your systems, and the decisions your team needs to own.
