The short answer
Ask AI for a draft. Check every detail before using it.
A one-page brief that clearly separates verified facts, assumptions, options, conditions, and the exact decision or sponsorship requested.
Five-minute practice · Fictional information only
Make your first draft.
- Open an AI assistant your organization allows for practice with made-up information.
- Copy the complete practice prompt below and paste it into a new chat. Keep the fictional notes as written.
- Compare the answer with the finished example and reviewer corrections. Answers may vary; every factual claim must follow from the notes.
- Keep missing information marked as unknown. This is a practice draft; do not use it as an operating instruction.
Write a one-page decision brief using only the fictional notes. Include request, dated evidence, assumptions and unknowns, options, conditional recommendation, owner, next action, review date, and challenge list. Separate proposed limits from actual costs. Do not multiply median time by count to claim total time. Do not invent savings, accuracy, risk reduction, or approval. Label it fictional practice material requiring human review.
FICTIONAL DECISION NOTES — 1 September 2026
Decision-maker: Security director role.
Request: A 30-day offline pilot, 7 September–6 October 2026, subject to approval. No live dispatch or operational rule changes.
VERIFIED IN THIS SOURCE [BASELINE-1, Operations lead, 1 September]: 1,200 August review events; median manual handling time 4.5 minutes. Total handling time was not measured.
ASSUMPTION [PLAN-1]: 20% of events may suit assisted review. Untested.
UNKNOWN: Local accuracy, missed relevant items, corrections, and net time saved including checking and rework.
Option A: Keep manual review. No pilot spending or implementation time; no new comparison evidence.
Option B: Offline pilot. Proposed caps of $2,000 and 12 staff hours, awaiting approval. Produces comparison evidence but consumes staff time and may show no benefit.
Recommendation: Security manager recommends B only after approval of spending/staff limits, sample and tool, test plan, and acceptance criteria. Numerical acceptance thresholds are not approved.
Halt if restricted information leaves the approved environment, a draft informs a live decision, or required review cannot be completed. Restart requires resolution and responsible-owner approval.
Owner: Operations lead. Submit sample boundary, comparison method, correction log, and proposed acceptance criteria by 4 September. Review results on 7 October and continue, revise, or stop.Fit before tools
Use this workflow only when the operating conditions fit.
Use it when
- The decision and decision-maker are known.
- The source material can be sanitized or processed in an approved environment.
- The recommendation will be reviewed by the accountable security leader.
- Uncertainty and dissent can remain visible.
Do not use it
- To conceal missing evidence behind polished language.
- To generate a risk rating, ROI claim, or recommendation without an approved method.
- To replace legal, finance, procurement, privacy, safety, or executive judgment.
Prepare first
Define the approved input before opening an AI tool.
Inputs to prepare
- Decision requested in one sentence
- Verified facts with source and date
- Assumptions labeled as assumptions
- Two or more viable options
- Constraints, dependencies, and cost ranges already approved for discussion
- Recommendation conditions and next review date
Keep out of the workflow
- Unsupported savings or risk-reduction percentages
- Vendor marketing restated as fact
- Confidential vulnerabilities in an unapproved tool
- Hidden dissent or alternative options
- Claims that the brief certifies compliance or safety
Default rule: If the information boundary is not explicit, do not paste, upload, connect, or transmit the material. Practice with made-up information until the responsible owner approves the tool and information you can use.
Implementation workflow
Complete the work in six reviewable steps.
- 01
Name the decision
Start with an action the reader can approve, reject, fund, assign, or defer. If the requested decision cannot fit in one sentence, the work is not ready for an executive brief.
- 02
Build an evidence table
For each fact record source, observation date, owner, and confidence. Put estimates and planning assumptions in a different column. Do not mix vendor claims with verified operating evidence.
- 03
Define the options
Include the status quo when it is viable. For each option state time, cost range, operational benefit, principal downside, dependency, and what would cause the option to fail.
- 04
Set recommendation conditions
Write the recommendation as conditional: Proceed only if the acceptance test, data boundary, operating owner, and exit condition are approved. This prevents the assistant from presenting a preference as an unconditional fact.
- 05
Generate and challenge the draft
Ask the assistant to produce the one-page brief and a separate challenge list: missing evidence, unsupported causal claims, unclear authority, unpriced dependencies, and assumptions that most affect the choice.
- 06
Approve the record
The accountable leader verifies the brief, preserves material corrections, and records the final decision, owner, due date, and review trigger in the normal governance system.
Copyable working aid
Use this template, then adapt it to the approved workflow.
The template deliberately exposes missing evidence and preserves human approval. Replace bracketed fields; do not paste prohibited information.
ROLE
You are a vendor-neutral physical security business-risk analyst.
OBJECTIVE
Create a one-page decision brief using only the sanitized material below. Do not invent risk, cost, savings, compliance, or product capability.
REQUIRED ORDER
1. Decision requested
2. Business or operational exposure
3. Verified evidence with source dates
4. Assumptions and unknowns
5. Options and tradeoffs, including status quo
6. Conditional recommendation
7. Owner, next action, and review date
CHALLENGE APPENDIX
List missing evidence, unsupported causal claims, hidden dependencies, and the assumption most likely to change the decision.
SANITIZED MATERIAL
[Insert approved facts, assumptions, and options.]Worked example
A finished example you can check.
These fictional examples and corrections illustrate the review process. They are not records of real incidents or measured model performance.
A fictional security manager requests an offline AI review pilot. Every number is made up for practice; no live operating change is proposed.
FICTIONAL DECISION NOTES — 1 September 2026 Decision-maker: Security director role. Request: A 30-day offline pilot, 7 September–6 October 2026, subject to approval. No live dispatch or operational rule changes. VERIFIED IN THIS SOURCE [BASELINE-1, Operations lead, 1 September]: 1,200 August review events; median manual handling time 4.5 minutes. Total handling time was not measured. ASSUMPTION [PLAN-1]: 20% of events may suit assisted review. Untested. UNKNOWN: Local accuracy, missed relevant items, corrections, and net time saved including checking and rework. Option A: Keep manual review. No pilot spending or implementation time; no new comparison evidence. Option B: Offline pilot. Proposed caps of $2,000 and 12 staff hours, awaiting approval. Produces comparison evidence but consumes staff time and may show no benefit. Recommendation: Security manager recommends B only after approval of spending/staff limits, sample and tool, test plan, and acceptance criteria. Numerical acceptance thresholds are not approved. Halt if restricted information leaves the approved environment, a draft informs a live decision, or required review cannot be completed. Restart requires resolution and responsible-owner approval. Owner: Operations lead. Submit sample boundary, comparison method, correction log, and proposed acceptance criteria by 4 September. Review results on 7 October and continue, revise, or stop.
OFFLINE AI REVIEW PILOT — FICTIONAL DECISION BRIEF Prepared: 1 September 2026. Human review required. REQUEST Security director: Authorize a 30-day offline pilot, 7 September–6 October, only after the conditions below are met. No live dispatch or operational rule changes. EVIDENCE BASELINE-1 (Operations lead, 1 September) records 1,200 August events and a 4.5-minute median handling time. Total handling time and AI benefit are unmeasured. ASSUMPTIONS AND UNKNOWNS PLAN-1 assumes 20% may suit assisted review. Untested. Accuracy, missed relevant items, corrections, and net time saved remain unknown. OPTIONS A. Keep manual review: No pilot spending or implementation time; no new comparison evidence. B. Offline pilot: Proposed limits of $2,000 and 12 staff hours, awaiting approval. Produces evidence but consumes time and may show no benefit. These are not actual costs. CONDITIONAL RECOMMENDATION Security manager recommends B only after approval of spending/staff limits, sample and tool, test plan, and acceptance criteria. Halt if restricted information leaves the approved environment, a draft informs a live decision, or required review cannot be completed. Restart requires resolution and owner approval. OWNER AND NEXT STEP Operations lead: Submit sample boundary, comparison method, correction log, and proposed acceptance criteria by 4 September. Review measured results on 7 October; continue, revise, or stop. CHALLENGE LIST Numerical acceptance thresholds are unapproved. There are no measured savings or detection improvements. The untested 20% suitability assumption could materially change the case.
- Replace “20% time savings” with the untested suitability assumption; savings remain unknown.
- Remove “90 hours monthly.” Multiplying a median by the event count does not establish total time.
- Replace “approve deployment for $2,000” with a conditional offline-pilot request. No deployment or actual cost is approved.
Quality control
Review the artifact and measure whether it improved the work.
Release checklist
- The requested decision is explicit and within the reader’s authority.
- Facts, assumptions, estimates, and vendor claims are visibly separated.
- Status quo and meaningful alternatives are included.
- The recommendation states conditions and stop criteria.
- Costs, dependencies, and material uncertainty are not hidden.
- The final decision, owner, and review date are recorded outside the AI draft.
Measures worth tracking
- Time from brief delivery to a clear decision
- Number of clarification cycles
- Unsupported statements removed in review
- Percentage of approved actions with owner and due date
- Decision changes caused by a previously hidden assumption
Stop conditions
Treat these outcomes as failures, not minor editing issues.
The draft invents urgency or certainty.
A vendor claim becomes organizational evidence.
The recommendation omits the status quo or exit path.
A modeled benefit is described as realized value.
Escalate instead of improvising: Site-specific risk assessment, emergency action, legal interpretation, employment action, identity determination, biometric use, and consequential access or dispatch decisions require the approved professional and organizational process.
Practical questions
Questions to resolve before operational use.
Should the brief include a risk score?
Only when the organization already has an approved scoring method and the inputs are traceable. Do not let an AI assistant create a new numerical risk scale inside the brief.
Can the assistant recommend a vendor?
It may organize evidence against predetermined criteria. Vendor selection remains a governed procurement decision involving technical, commercial, legal, privacy, and operational review.
How long should the brief be?
One page is a useful constraint for the decision narrative, with a separate evidence appendix when needed. Do not omit material uncertainty simply to meet length.
Sources and scope
Use authoritative guidance, then apply the organization’s own requirements.
- NIST AI Risk Management Framework Voluntary framework for governing, mapping, measuring, and managing AI risk across the lifecycle.
- NIST Generative AI Profile (NIST AI 600-1) Cross-sector guidance for risks that are unique to or intensified by generative AI.
This guide is vendor-neutral practitioner planning guidance, updated 2026-09-07. It is not a compliance determination, site risk assessment, emergency procedure, or substitute for qualified legal, privacy, cybersecurity, safety, engineering, or security review. Product capabilities and applicable requirements change; verify them with current primary documentation.
Next step
Finished reading? Turn the pattern into practice.
Procedure checklists
Read guideROI Scenario Planner
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