Agent evaluation and assurance

Human–agent interaction evaluation

Design evidence for the moments people approve, correct or interrupt an agent

Human review is listed as a control without testing the reviewer's actual experience. The decision is how to design evidence for the moments people approve, correct or interrupt an agent. The work begins with your actual workflow and looks for the evidence that separates intended behaviour from a consequential exception. It is particularly relevant to product designers and operations leaders. A useful outcome is an explicit account of what was examined, what remains uncertain, and which decision the evidence can support.

The release evidence relationship

  1. Starting evidenceInteraction flows

    Establish the basis for review context.

  2. Decision boundaryReviewer choice

    Support refusal and correction before execution.

  3. Decision artefactInteraction evaluation map

    Retain the scoped finding and its unresolved dependencies.

Proposed working model. The customer retains the release decision.

Decision

Frame the decision around review context

Questions and the evidence they need

Criterion / evidenceReview context
Inspect interaction flows for the relevant constraint or observation.
Criterion / evidenceReviewer choice
Inspect approval screens for the relevant constraint or observation.
Criterion / evidenceInterruption
Inspect reviewer instructions for the relevant constraint or observation.
Read each criterion against the available evidence before deciding that additional work is needed.

The decision is how to design evidence for the moments people approve, correct or interrupt an agent. This is relevant to product designers and operations leaders when human review is listed as a control without testing the reviewer’s actual experience. Name the affected workflow, the consequence of a wrong decision, and the owner who can act on the result. The initial discussion should establish which evidence is already available and which uncertainty is material enough to investigate.

The specific failure hypothesis is that a reviewer approves an action without seeing changed parameters or relevant uncertainty. It remains a hypothesis until examined in the deployment. Existing internal tests or operating records may already resolve it; identify the uncovered question before commissioning additional work.

Mechanism

Approval is meaningful only with the action context

Relationships within release evidence

Source or conditionReview context
Expose the exact changed fields and uncertainty.
Crossing or choiceReviewer choice
Support refusal and correction before execution.
Consequence or decisionInterruption
Verify timeout and cancellation behaviour.
Keep case coverage linked to the release question. Each relationship needs evidence in the actual scope.

What this specialty examines

Human interaction evaluation should examine what the reviewer knows at the moment of intervention. Show the proposed action, changed parameters, supporting evidence and meaningful uncertainty. A reviewer cannot make an informed decision from a reassuring summary that omits the actual consequence.

The review should walk through approval, refusal, correction, timeout and interruption cases with representative roles. Identify the normal route, relevant exceptions and the authoritative record of the outcome. Inspect the relevant business-system record, enforcement event or process evidence alongside any reported status. Keep incomplete cases visible, with an explanation of what their absence prevents the owner from concluding.

The tradeoff to make explicit

For this decision, extra confirmation can strengthen control while creating review fatigue and abandonment. Compare the available design or operating choices against the same intended outcome. If one option removes a required control or changes the task boundary, describe that difference before treating its apparent simplicity, speed or lower effort as an improvement. The decision should expose the tradeoff instead of burying it in an aggregate score.

Preparation

Connect the working inputs to the boundary being examined

Evidence packet for review context

Illustrative working format

BasisInteraction flows
Identify provenance and the specific decision this material can inform.
ContextApproval screens
Connect the accepted action parameters to grant, amendment, expiry, and withdrawal.
ObservationReviewer instructions
Identify the accountable role and verify its decision rights or availability.
DependencyIntervention records
Establish permitted access, provenance, and which task conditions it represents.
Illustrative preparation record. Availability, revision, and handling need confirmation.

Start with interaction flows, approval screens, reviewer instructions and intervention records. Identify the owner, revision and operating context of each source. Sanitised examples may support initial design, but differences from actual conditions should remain explicit. Where direct access is unsuitable, a customer-controlled evidence or execution route may be considered, with agreed handling and retention.

The scope also needs the release owner, agreed expectations for a representative task case, and the authority to inspect the relevant boundary. Specify what evidence would distinguish the failure in which a reviewer approves an action without seeing changed parameters or relevant uncertainty from acceptable behaviour. If stakeholders disagree about intended behaviour, resolve the interpretation before classifying the observed difference as a defect.

How the work proceeds

Carry review context through to an accountable finding

From the scoped material to a decision record

  1. Establish conditionsInteraction flows

    Separate hard constraints from graded preferences.

  2. Examine the relationshipReviewer choice

    Apply the scoped check to interruption.

  3. Retain the findingInteraction evaluation map

    Record the evidence, open dependencies, and the owner’s next decision.

Proposed sequence; resolve interpretation or access gaps before relying on the next step.

Prepare the evaluation cases

Work with product designers and operations leaders to assemble interaction flows, approval screens, reviewer instructions and intervention records. Select a normal task, a consequential exception and a case with insufficient information. Identify the relevant requirement and expected result for each, then mark which outcomes need human adjudication. The preparation output is a case packet that separates blocking behaviour from graded quality preferences before any comparison is run.

Run and review the comparisons

Test refusal and correction as carefully as approval. Confirm that editing an action invalidates stale approval, that timeouts do not silently authorise execution, and that a reviewer can stop or escalate work. Record usability obstacles that encourage habitual approval without inspection.

Choose the release or evaluation change

Use the reviewed cases to produce an interaction evaluation map and proposed usability and control acceptance criteria. Distinguish a product defect from a missing test, an ambiguous requirement or an unreliable measuring method. For each, name the proposed correction and the case that would check it. The release owner can then decide whether to change the implementation, improve coverage or restrict the intended use while a specific gap remains.

Indicative artefact

Make the interaction evaluation map usable by its owner

Interaction evaluation map

Illustrative working format

Annotated fieldInteraction evaluation map
Name the missing evidence, responsible owner, and condition for revisiting the decision.
Annotated fieldUsability
Link supporting and contrary observations to inspectable evidence.
Annotated fieldControl acceptance criteria
Define the required observation and who resolves disagreement about acceptance.
Illustrative artefact structure, not a completed engagement or an observed result.

A useful decision artefact is an interaction evaluation map and proposed usability and control acceptance criteria. Supporting material may include selected cases, configuration or process records, evidence references, a disagreement log and prioritised actions. Retain the case selection rationale and material disagreements alongside the result; otherwise the result may be mistaken for complete coverage.

Illustrative scenario

Examine interruption through a constructed exception

A constructed case and its decision paths

Illustrative scenario

  1. SituationReview context

    A supervisor approves a summary that hides an additional changed field.

  2. Question to examineReviewer choice

    Expose the complete payload beside the approval decision.

  3. Conditional next actionInterruption

    Invalidate approval when the operation includes an unreviewed field.

Fictional example. No executed test, customer engagement, or measured outcome is implied.

Consider a fictional situation: a supervisor sees a summary saying account update approved while the underlying change includes an additional field. The scenario is illustrative, with no client engagement, executed test or measured improvement implied.

In the account-change example, compare the approval screen with the final parameters. If an additional field appears after approval, the system should require a new decision or prevent the change. The design question is how to preserve informed control without unnecessary repeated prompts.

Scope and next action

Keep the conclusion within selected task cases

Confirm fit before the next commitment

Included boundaryReview context
This review is limited to selected task cases.
PrerequisiteInteraction flows
The relevant owner must confirm access and the intended operating conditions.
Claim limitInteraction evaluation map
The customer retains the release decision.
Bring the triggering change and existing evidence; resolve the dependency that could alter the decision.

A result applies to the recorded configuration and selected cases. It does not establish universal agent competence or authorise release. Any engagement depends on an agreed scope, qualified team, authorised access and confirmed availability. Bring the affected workflow, its current configuration or process, the triggering change and the evidence already available. The immediate scope question is prompted by the situation in which human review is listed as a control without testing the reviewer’s actual experience; confirm which missing observation would change the owner’s next action.

Ways to engage

Related engagement scopes

AI Agent Evaluation Evidence Diagnostic

Find the gaps between your release decision and the evidence behind it. Start with one agent workflow and a bounded set of questions.

Read about this offer: AI Agent Evaluation Evidence Diagnostic

AI Agent Evaluation Foundation

Turn scattered tests into a repeatable release discipline. Connect the behaviours that matter to datasets, evaluation criteria and evidence your team can maintain.

Read about this offer: AI Agent Evaluation Foundation

AI Long-Horizon Agent Evaluation

Examine what changes when an agent keeps working. Evaluate accumulated state, recovery and goal adherence across extended tasks.

Read about this offer: AI Long-Horizon Agent Evaluation

Continue exploring

Related insights and resources

Whitepaper16 MIN READ

Engineer the harness, not just the prompt

Define the contracts around an agent's decisions: what state it trusts, which actions can execute, how interrupted work resumes, and what evidence an operator needs to recover safely.

Whitepaper15 MIN READ

What would justify releasing this agent?

Replace a single pass rate with a reviewable chain of requirements, cases, observations and judgements. Distinguish task quality, control failures and uncertainty before increasing an agent's exposure.

Whitepaper5 MIN READ

The evidence behind the go-live decision

A working paper for leaders who need to explain why an agent workflow is ready for its next release. Includes a proposed evidence-pack structure, decision table and review agenda.

A little more clarity

Questions to consider.

Start with the questions that shape a better decision.

Does adding an approval button establish meaningful human oversight?

No. The reviewer needs relevant evidence, material action parameters and authority to refuse, correct or stop. Test what happens when parameters change, the reviewer times out or the action has already partially executed.

Which interaction records show what a reviewer approved?

Start with interaction flows, approval screens, reviewer instructions and intervention records. Record their revision, owner and relationship to the intended workflow. Missing context should be identified before interpreting outcomes; a sanitised fixture is useful only when its relevant differences from the operating case are understood.

How should changed parameters invalidate approval?

Walk through approval, refusal, correction, timeout and interruption cases with representative roles. Keep task correctness, permitted action and final state distinct. Review scoring disagreements against the agreed rubric. Include valid alternatives so the cases do not reward superficial sequence matching or rejection of every difficult request.

What should an interaction evaluation specify?

The proposed output is an interaction evaluation map and proposed usability and control acceptance criteria. Include the selected conditions, supporting observations, unresolved differences and next decision. A reviewer should be able to follow each important conclusion back to its evidence and understand the limits without depending on an undocumented explanation from the author.

When do additional confirmations become counterproductive?

They become counterproductive when they repeat information without supporting a meaningful decision or encourage habitual approval. Test reviewer understanding and refusal behaviour. Consolidation is reasonable only if material action details and control remain clear.

What if existing evidence already answers the question?

Review its scope, provenance and configuration before proposing new work. Existing work from product designers and operations leaders may already be sufficient. In that case, capture the decision, unresolved limitations and the change that would require another review. Additional assessment should address a real gap.

What would make the findings inconclusive?

Missing interaction flows, approval screens, reviewer instructions and intervention records can prevent a reliable interpretation, depending on the case. Record the specific missing observation and its implication. The owner can supply evidence, narrow the claim or defer the dependent decision; an incomplete case should not silently be counted as a pass.

Start with the decision you need to make.

Tell us about the agent workflow you want reviewed, and where you need greater clarity. Scope and availability are confirmed together.

Connected disciplines