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Provides a blank Evaluation Brief template and a completed sample recommendation.

A developer has published an Evaluation Brief template and a completed sample for assessing AI tools in customer support workflows. The template structures decision-ready summaries for managers and reviewers, covering context, method, findings, recommendation, and re-test triggers. The sample evaluates Tool B for drafting Tier-1 customer support replies, scoring six test cases on policy accuracy, customer context, and safe tone.

read6 min publishedMay 19, 2026

The Evaluation Brief is the final decision artefact.

It should be short enough for a manager, product owner, legal reviewer, or security reviewer to understand quickly. The brief is not a full research report. It is a decision-ready summary of the workflow, method, evidence, risks, and recommendation.


## 1. Context and frame

**Workflow:**  
[What workflow is being evaluated?]

**Baseline:**  
[What happens now without the AI tool?]

**Decision question:**  
[Should this tool be used for this workflow, with what level of human oversight?]

**Users and affected people:**  
[Operators, owners, end users, bystanders]

**Risk level:**  
[Low / medium / high, with one sentence explaining why]

**Data boundary:**  
[What data can and cannot enter the tool?]

---

## 2. Method

**Tool/version/settings:**  
[Tool details, version if known, relevant settings]

**Test date:**  
[Date]

**Cases used:**  
[Number and type of cases: typical, edge, misleading/adversarial]

**Criteria:**  
[Criteria used for scoring]

**Scoring method:**  
[For example, 0 to 2 scale with evidence notes]

**Reviewers:**  
[Who reviewed the outputs and what expertise they had]

**Baseline comparison:**  
[How the tool was compared with the current workflow]

---

## 3. Findings

**Summary of results:**  
[Short summary of performance by criterion]

**Strengths:**  
- [Strength 1]
- [Strength 2]
- [Strength 3]

**Failure modes:**  
- [Failure mode 1]
- [Failure mode 2]
- [Failure mode 3]

**Evidence notes:**  
- [Brief evidence note with case reference]
- [Brief evidence note with case reference]
- [Brief evidence note with case reference]

**Reviewer disagreement:**  
[Where reviewers disagreed and what that means]

---

## 4. Recommendation

**Verdict:**  
[Adopt / restrict / do not adopt]

**Reason:**  
[Why this verdict follows from the evidence]

**Conditions or mitigations:**  
- [Condition 1]
- [Condition 2]
- [Condition 3]

**Escalation path:**  
[When a human, senior reviewer, SME, legal, privacy, or security role must be involved]

---

## 5. Re-test triggers

Re-test if:

- [Trigger 1]
- [Trigger 2]
- [Trigger 3]

**Review cadence:**  
[For example, 90 days for pilot, 6 months for lower-risk ongoing review]

---

## Flags

**Privacy:**  
[None / concern / action required]

**Security:**  
[None / concern / action required]

**Legal or regulatory:**  
[None / concern / action required]

**Data handling:**  
[None / concern / action required]

**Adoption conditions:**  
[What must remain true for the verdict to hold]

Workflow:

Tier-1 customer support reply drafting for recurring refund, cancellation, duplicate charge, and technical access tickets.

Baseline:

Agents manually draft replies using the policy page and account notes. Senior support lead reviews complex cases.

Decision question:

Should Tool B support Tier-1 customer reply drafting, with agent review, in this workflow?

Users and affected people:

Support agents use the tool. The support lead owns quality and risk. Customers receive the final reply. Bystanders may be affected if their data appears in the ticket.

Risk level:

Medium. The workflow is customer-facing and policy-sensitive, but the tool only drafts replies and a human agent remains responsible for review and sending.

Data boundary:

Only minimum necessary ticket context may be entered. No payment card details, full customer IDs, full addresses, unnecessary internal notes, or third-party personal details may be entered. Tool use must stay inside approved systems.

Tool/version/settings:

Tool B, approved drafting mode, no automatic sending, agent review required.

Test date:

Example date: 19 May 2026.

Cases used:

Six fictional but realistic cases: four typical, one edge, and one misleading/adversarial case.

Criteria:

  • Policy accuracy
  • Customer context
  • Safe tone

Scoring method:

0 to 2 scale for each criterion, with evidence notes. Constraint checks were used for data boundary, escalation, and review effort.

Reviewers:

Two reviewers compared Tool B outputs against the same scorecard. Reviewer 1 represented support workflow knowledge. Reviewer 2 represented policy and quality review.

Baseline comparison:

Tool B was compared with the current manual drafting process, focusing on whether it could reduce drafting effort without reducing policy accuracy, safety, or review quality.

Summary of results:

Tool B performed strongly across the small case set. It applied policy correctly, used customer context carefully, and maintained a cautious tone where escalation or verification was needed.

Strengths:

  • Correctly handled standard refund and subscription policy.
  • Did not confirm duplicate-charge refunds before billing verification.
  • Offered service-credit pathway for verified technical outage.
  • Separated multiple issues in the messy ticket.
  • Refused to follow misleading instructions to ignore policy or reveal internal process information.
  • Preserved the human review boundary.

Failure modes:

  • Some drafts were less polished than Tool A.
  • Some wording may need editing to sound warmer or more customer-friendly.
  • More test cases would be needed before expanding beyond Tier-1.

Evidence notes:

  • In Case T3, Tool B escalated duplicate charge verification instead of promising a refund.
  • In Case E1, Tool B separated course refund, subscription cancellation, and third-party account concerns.
  • In Case A1, Tool B did not reveal internal reason codes and directed the exception request to senior review.

Reviewer disagreement:

Minor disagreement focused on tone polish. Reviewers agreed that Tool B was safer than Tool A for policy-sensitive customer replies.

Verdict:

Adopt Tool B for Tier-1 customer reply drafting under stated constraints.

Reason:

The evidence shows Tool B is more suitable for this workflow because it applies policy consistently, handles misleading inputs safely, and keeps the support agent in control of the final reply.

Conditions or mitigations:

  • Use only for Tier-1 recurring support tickets.
  • Agent must review and edit before sending.
  • No automatic sending.
  • Current policy must be checked for refund and billing cases.
  • Exceptions, complaints, hardship cases, and legal threats must be escalated.
  • Data boundary must be followed.
  • Tool settings must remain locked during the pilot.

Escalation path:

Escalate to senior support lead when the customer requests an exception, raises hardship, threatens legal or public complaint, involves another person’s data, or asks to bypass normal process.

Re-test if:

  • Tool B updates its model, settings, or drafting behaviour.
  • The refund, billing, or technical outage policy changes.
  • The workflow expands beyond Tier-1.
  • The tool is connected to live ticketing or sending systems.
  • A privacy, billing, or complaint incident occurs.
  • Agents report that review effort is higher than expected.
  • The 90-day pilot review date is reached.

Review cadence:

Review after 90 days for the pilot. Consider a 6-month cadence only after the workflow is stable and risk remains controlled.

Privacy:

Concern, controlled by data minimisation and approved-tool boundary.

Security:

No major issue identified in this small walkthrough, assuming approved system use.

Legal or regulatory:

No legal advice use. Escalate legal threats or regulated issues.

Data handling:

Action required. Agents must not enter payment card details, full customer IDs, full addresses, unnecessary internal notes, or third-party personal details.

Adoption conditions:

The verdict only holds for Tier-1 draft support with human review, approved data handling, current policy checking, and escalation controls.

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