YOUR OBJECTIVE COMES FIRST
Analyst drafting rollout
Move a selected AI use case into work people can manage.
Illinois DCEO identifies advanced manufacturing, food processing, life sciences, transportation and logistics, and quantum computing, AI and microelectronics as targeted sectors. A useful scoping example is freight exceptions and customer-account visibility. Follow a shipment reference, appointment change and customer update through the work with dispatch, customer operations and account teams. Several messages may describe the same exception without sharing a consistent reference. How will the team connect related messages to one accountable exception?
Illinois Department of Commerce and Economic Opportunity: industry context ↗01Define an operating boundary
Document which input starts the workflow, what output it creates and where human judgment remains necessary. Name the actions it is allowed to perform. A draft suggestion, a saved record and a customer-facing decision need different approval and recovery arrangements.
02Test quality with representative work
Use accepted examples, incomplete inputs and difficult exceptions to evaluate the selected capability. Review factual support, required-field accuracy and appropriate escalation. Keep evaluation examples and release decisions so a model or prompt change can be assessed against the same expectations. Working example: A draft with inspectable source passages.
03Connect failure handling to an owner
Record processing states, meaningful error details and an accountable support route. Set bounded retries for temporary failures and protect against duplicate submissions. Staff need to distinguish work that has completed from work still waiting for review or recovery. For freight exceptions and customer-account visibility, agree how dispatch, customer operations and account teams contribute where those functions are involved.
04Make adoption part of the release
Introduce the workflow to a defined user group with role-based guidance and a way to report corrections. Measure use alongside review effort and output quality. Training should show when to challenge the result, not simply where to click. Review check: Subject experts can identify unsupported statements and missing evidence.