Agent evaluation and assurance

Uncertainty and calibration evaluation

Determine whether uncertainty signals support safe task routing

Confidence language is being used to decide whether work needs review. The decision is how to determine whether uncertainty signals support safe task routing. 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 evaluation leads and human-review owners. 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 evidenceConfidence outputs

    Establish the basis for confidence signal.

  2. Decision boundaryCase group

    Compare routing behaviour across consequential task types.

  3. Decision artefactCalibration analysis plan

    Retain the scoped finding and its unresolved dependencies.

Proposed working model. The customer retains the release decision.

Decision

Frame the decision around confidence signal

Questions and the evidence they need

Criterion / evidenceConfidence signal
Inspect confidence outputs for the relevant constraint or observation.
Criterion / evidenceCase group
Inspect labelled cases for the relevant constraint or observation.
Criterion / evidenceReview threshold
Inspect abstention rules 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 determine whether uncertainty signals support safe task routing. This is relevant to evaluation leads and human-review owners when confidence language is being used to decide whether work needs review. 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 confident language accompanies wrong actions while cautious language triggers unnecessary review. 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

Confidence must be checked against adjudicated outcomes

Relationships within release evidence

Source or conditionConfidence signal
Keep stated certainty separate from observed correctness.
Crossing or choiceCase group
Compare routing behaviour across consequential task types.
Consequence or decisionReview threshold
Expose errors hidden by lower review volume.
Keep case coverage linked to the release question. Each relationship needs evidence in the actual scope.

What this specialty examines

Calibration work needs adjudicated outcomes and a clearly defined confidence signal. A natural-language expression of certainty, a model-derived score and an application risk score are different quantities. Document how each is obtained before using it to route tasks.

The review should compare stated or computed confidence with adjudicated outcomes across task groups and threshold choices. 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, aggressive automation reduces review volume but may send consequential uncertain cases down the wrong path. 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 confidence signal

Illustrative working format

BasisConfidence outputs
Identify provenance and the specific decision this material can inform.
ContextLabelled cases
Keep expected behaviour and the limits of the constructed example explicit.
ObservationAbstention rules
Confirm the applicable revision and who resolves disputed interpretation.
DependencyObserved correctness
Identify provenance and the specific decision this material can inform.
Illustrative preparation record. Availability, revision, and handling need confirmation.

Start with confidence outputs, labelled cases, abstention rules and observed correctness. 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 confident language accompanies wrong actions while cautious language triggers unnecessary review 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 confidence signal through to an accountable finding

From the scoped material to a decision record

  1. Establish conditionsConfidence outputs

    Separate hard constraints from graded preferences.

  2. Examine the relationshipCase group

    Apply the scoped check to review threshold.

  3. Retain the findingCalibration analysis plan

    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 evaluation leads and human-review owners to assemble confidence outputs, labelled cases, abstention rules and observed correctness. 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

Inspect calibration separately for meaningful task groups and consequences. A threshold useful for routine lookup may be inappropriate for an irreversible write. Include the operational cost of abstention and review, and inspect whether low-confidence cases actually reach a competent reviewer.

Choose the release or evaluation change

Use the reviewed cases to produce a calibration analysis plan and routing recommendations grounded in observed case behaviour. 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 calibration analysis plan usable by its owner

Calibration analysis plan

Illustrative working format

Annotated fieldCalibration analysis plan
Identify the assessed workflow, revision, and decision boundary.
Annotated fieldRouting recommendations grounded in observed case behaviour
Link supporting and contrary observations to inspectable evidence.
Annotated fieldCase group evidence
Link observations and counterevidence to the case, configuration, and conclusion limit.
Illustrative artefact structure, not a completed engagement or an observed result.

A useful decision artefact is a calibration analysis plan and routing recommendations grounded in observed case behaviour. 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 review threshold through a constructed exception

A constructed case and its decision paths

Illustrative scenario

  1. SituationConfidence signal

    An assistant is certain about an obsolete policy and uncertain about a simple lookup.

  2. Question to examineCase group

    Compare certainty with adjudicated current-policy answers.

  3. Conditional next actionReview threshold

    Revise routing thresholds when confident errors reach consequential actions.

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

Consider a fictional situation: an assistant confidently selects an outdated policy while expressing doubt about an easy factual lookup. The scenario is illustrative, with no client engagement, executed test or measured improvement implied.

For the outdated policy answer, compare confidence with source validity and task correctness. A high-confidence error may indicate that confidence should not authorise action in that class. The next decision could use evidence completeness or mandatory review alongside the score.

Scope and next action

Keep the conclusion within selected task cases

Confirm fit before the next commitment

Included boundaryConfidence signal
This review is limited to selected task cases.
PrerequisiteConfidence outputs
The relevant owner must confirm access and the intended operating conditions.
Claim limitCalibration analysis plan
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 confidence language is being used to decide whether work needs review; confirm which missing observation would change the owner’s next action.

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A little more clarity

Questions to consider.

Start with the questions that shape a better decision.

Can the agent's own confidence statement be trusted as a score?

Not without validation against adjudicated outcomes. Natural-language certainty and calibrated probability are different signals. Evaluate their relationship to correctness within relevant task groups before using them to route consequential work.

Which labelled cases support calibration analysis?

Start with confidence outputs, labelled cases, abstention rules and observed correctness. 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 confidence and correctness be compared?

Compare stated or computed confidence with adjudicated outcomes across task groups and threshold choices. 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 a calibration report disclose?

The proposed output is a calibration analysis plan and routing recommendations grounded in observed case behaviour. 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 should confidence thresholds vary by task?

Vary thresholds when task groups differ in error consequence, calibration or review needs. Validate each routing rule against relevant outcomes; a threshold that works for routine lookup should not automatically authorise irreversible writes.

What if existing evidence already answers the question?

Review its scope, provenance and configuration before proposing new work. Existing work from evaluation leads and human-review owners 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 confidence outputs, labelled cases, abstention rules and observed correctness 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.

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