Designing an End-to-End Agent Workflow
Explore how to design a complete agent workflow that handles software access requests by clarifying requirements, defining measurable success, sketching components, and managing authority boundaries. Understand the importance of fixed workflows, trusted data sources, and observable execution for producing reliable and secure assistant responses. This lesson helps you build systems that balance flexibility and safety while meeting real-world constraints and interview expectations.
“Build an agent that handles software-access requests.” Does “handles” mean explaining policy, preparing a request, approving it, or provisioning access? Each interpretation creates a different system and a different authority boundary. A defensible interview design turns that ambiguity into measurable requirements, follows one request through every boundary, and makes the permitted outcomes executable.
Five minutes of discovery
Use this repeatable sequence: Clarify requirements in about five minutes, define success metrics, sketch components, trace data flow, then name tradeoffs. Five minutes is a preparation heuristic, not an official interview rule. Establish the task, users, constraints, and measurable outcome before choosing a model or framework.
For Larch, a fictional company, the clarification pass asks:
Users and process: Who requests access, who handles incomplete requests, and where does a request go today?
Bottleneck: Is time spent interpreting policy, collecting missing information, waiting for approval, or provisioning?
Permitted actions: Can the assistant prepare, submit, approve, or provision? Who owns each decision?
Authoritative records: Which catalog, policy service, and employee directory establish applications, requirements, and approvers?
Constraints: What identity, evidence-currentness, latency, cost, and handoff requirements apply?
Acceptance: What observable change would justify shipping the first release?
Discovery reveals that helpdesk staff spend time chasing missing business justification and approver information. The useful first intervention is complete intake packets. Accelerating approval would optimize a different step. Discovery can legitimately change the optimization target when an upstream completeness problem dominates delay.
The Larch release
Agree these scenario requirements with the customer:
Entry: Employees request one of 20 catalog applications through authenticated internal chat.
Assistance: Explain current policy, request missing business justification, and prepare a packet.
Packet: Include the verified employee reference, selected catalog application, justification, policy reference and revision, and authoritative approver reference.
Submission: The employee submits the packet through the existing process. Existing approvers retain every approval decision.
Exclusions: Approval, provisioning, arbitrary software, and policy exceptions.
These are scope decisions, not claims about a product’s capabilities. “Draft ready” means the intake artifact is ready for the employee’s next step; it says nothing about whether access will be granted.
Targets that shape control
Compare supported-application pilot requests with a baseline of comparable task mix:
Human effort: Cut median ...