Start with three questions at the handoff
For a consequential workflow step, record an owner, a source, and a readback. These fields make responsibility, evidence, and the stored result visible together. They are a practical starting point for designing a handoff; they do not replace the approvals, access controls, deadlines, or professional judgment the work requires.
The most useful place to add them is where work crosses a boundary: from an inbox to a record, from a record to a document, or from a prepared change to a saved result. A team should be able to answer the three questions without reconstructing the process from memory.
Owner: who is responsible for the next permitted action?
Name a responsible person or a staffed role with a clear route to a person. A department name or an automated service account may identify where work runs while leaving the next decision unowned. Record who can act and who must decide when the normal path fails.
Ownership also needs a boundary. Someone may be authorized to prepare a change while another person must approve it. Giving an assistant responsibility for finding missing information does not give it authority to accept terms, approve judgment, or release a deliverable. Preserve that distinction in the handoff.
Source: which evidence controls this fact?
Keep a stable reference to the controlling record, document, or message, along with the version or observation date needed to distinguish it from older evidence. A copied value alone cannot explain why it should be trusted. When two sources conflict, retain the conflict and identify who can resolve it.
The W3C PROV Overview describes provenance in terms of the entities, activities, and people involved in producing something. That is a useful foundation for asking where a fact came from and how it changed. The overview is a Working Group Note describing the PROV family; it does not prescribe this three-field workflow design.
A source link is useful only to an authorized person who can retrieve the relevant evidence. Keep sensitive material in its approved system and share only the references and minimum facts the next person needs. Record when a time-sensitive observation must be refreshed.
Readback: what proves the intended result was stored?
Define the readback before making the change. For the address example, specify the exact customer record and the expected saved address. After saving, reopen the record through an independent view and compare the stored value with the intended value. A success message or a form that still contains edits is insufficient evidence.
Match the check to the consequence. A file handoff may require checking the exact name, version, destination, and contents. A status update may require confirming both the correct record and its saved status. If the stored result differs or cannot be checked, keep the item pending with the observed result and a concrete next action.
Use a small handoff record
This is an illustrative record, not a report of a client transaction. Adapt the fields to your own authority, privacy, retention, and review requirements. A checked box without retrievable evidence is still a weak handoff.
- Owner: the operations coordinator prepares the customer-address change; the designated reviewer resolves conflicting evidence.
- Source: the authorized customer request, its received date, and the controlling customer record identifier. An unresolved identity question remains open.
- Readback: reopen that exact record after saving, compare the stored address, and retain the observation time and result. A mismatch returns to the coordinator rather than silently closing the task.
Test the handoff before expanding it
Choose one recurring process and record a baseline: how often does the next person need to ask who owns it, search for the original evidence, or correct an incorrectly saved result? Try the three fields in a small, reversible pilot. Include a missing source and a failed save in the test so the team can see whether unfinished work remains visible.
NIST describes its AI Risk Management Framework as voluntary guidance for incorporating trustworthiness into the design, development, use, and evaluation of AI systems. It offers broader risk context, rather than a certification of this checklist. Where AI assists a workflow, these fields can support a reviewable process without establishing that its outputs are correct.
Compare correction frequency and handoff time with the baseline, including the effort required to maintain the evidence. Ask the next person which field helped and which created avoidable work. Keep the control only when the trial supports it, and improve the design when the evidence shows a gap.
