Agent responsibility
Retrieve approved guidance
Retrieve relevant guidance, identify missing context, and prepare a response with its source references.
Referenced answer
Education / Customer service / Solution blueprint
Student-service enquiries
Prepare helpful responses from the institution’s own published guidance.
Business problem & expected outcomes
The challenge behind
student-service enquiries.
Service staff repeatedly search policy pages and request history to answer common enquiries consistently.
What this workflow is designed to deliver
Referenced answer
Retrieve relevant guidance, identify missing context, and prepare a response with its source references.
How to measure the improvementSource-grounded response quality; correct escalation; repeated information requests.
Start with the right information.
Published policies, service FAQs, enquiry history, and departmental ownership.
Interactive workflow diagram
From student question
to a clear next step.
Retrieve relevant guidance, identify missing context, and prepare a response with its source references.
EducationSelect a stage to explore
Context
Student question
Published policies, service FAQs, enquiry history, and departmental ownership.
Prepared outputReferenced 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
Keep admission, eligibility, and other consequential decisions with authorized staff; route ambiguous guidance for review.
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
Student question
Published policies, service FAQs, enquiry history, and departmental ownership.
Agree the trigger or manual request, record identifiers, and the process owner. - 02
Retrieve approved guidance
Retrieve relevant guidance, identify missing context, and prepare a response with its source references.
Define instructions, permitted tools, and the expected output. Keep missing information explicit. - 03
Escalate exceptions
Keep admission, eligibility, and other consequential decisions with authorized staff; route ambiguous guidance for review.
Keep the pilot in preparation mode and use the team’s existing review process. - 04
Referenced answer
Source-grounded response quality; correct escalation; repeated information requests.
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.
Keep admission, eligibility, and other consequential decisions with authorized staff; route ambiguous guidance for review.
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
Source-grounded response quality; correct escalation; repeated information requests.
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 student 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 Education
EducationWorkflow design
- ContextCourse materials
- Agent LabTrack versions & evidence
- Your teamFaculty review
Prepared outputMaterial review register
Solution blueprint
Course material review coordination
Give academic reviewers a complete packet for each update.
Used in this case
Explore the implementation - File storage
- Dynamic tables
- Human approvals
EducationWorkflow design
- ContextCampus request
- Agent LabTrack status & ownership
- Your teamService-team coordination
Prepared outputConnected service record
Solution blueprint
Campus service tracking
Keep service teams connected as campus requests change hands.
Used in this case
Explore the implementation - Secured channels
- Dynamic tables
- Agent Skills
EducationWorkflow design
- ContextPolicy question
- Agent LabRetrieve published sources
- Your teamCheck source coverage
Prepared outputSource-linked answer
Solution blueprint
Published policy answers
Prepare answers to routine questions from current institutional guidance.
Used in this case
Explore the implementation - Knowledge Base
- Agent Skills
Education / 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.
