The Next Input — Issue #095

Stop "Shadow AI" Before It Fires You

In partnership with

youre fired donald trump GIF

The Briefing — 60 sec

🛠️ The Playbook — The AI Procurement Firewall

Mission Build a system that ensures staff only use approved AI tools—and flags risky or off-policy use instantly.
Difficulty Advanced
Build time 3 hours
ROI Prevents compliance breaches and shadow-AI creep without killing productivity.

0) Why This Matters

Every workplace right now has two categories of AI usage:

  1. The official stuff leadership thinks people use.

  2. The wild west people actually use—personal tools, side apps, extensions, random models.

The NSW planning scandal is a preview of what happens when “shadow AI” slips into decision-making.
This firewall solves that without turning into another corporate chokehold.

1) Architecture

Component

Tool

Purpose

Intake

Browser extension (Stytch SSO Enforcement)

Detect tool usage + authenticate users

Policy Store

Confluence / Airtable

Track approved + banned AI tools

Evaluator

Claude 4.5 Haiku

Classify risk level of observed tool usage

Compliance Layer

GPT-5-mini

Generate clean incident summaries

Notification

Slack + Email

Instant flagging for off-policy usage

2) Workflow

  1. Browser extension logs whenever employees use an AI-adjacent domain or tool.

  2. System checks tool against the Airtable “AI Policy Register”:

    • Allowed

    • Allowed with restrictions

    • Prohibited

  3. If usage is prohibited or high-risk, the event triggers a Haiku evaluation:

    • what the tool does

    • whether access could compromise data

    • severity tier

  4. GPT-5-mini drafts a simple incident note with next steps.

  5. Slack notifies:

    • user

    • manager

    • compliance

  6. For low-risk tools, system suggests an approved alternative and lets work continue.

3) Example Prompts

Risk Classification (Claude 4.5 Haiku)

Classify this AI tool’s usage:
- What the tool does
- Level of data exposure
- Whether it bypasses policy
Return: Low, Medium, High.
Include a 1–2 sentence explanation.

Incident Summary (GPT-5-mini)

Write a clean incident summary:
- what tool was used
- why it’s off-policy
- suggested corrective action
Tone: concise, neutral, professional.

4) Guardrails

  • Do not block users mid-task—warn, then log.

  • Approved tools list must be reviewed weekly.

  • Avoid over-flagging harmless usage (Wikipedia summaries ≠ AI tool).

  • Keep employee names out of auto-generated reports until a human confirms severity.

5) Pilot Rollout — 3 hours

  1. Build your Airtable “AI Policy Register.”

  2. Deploy a lightweight browser extension with domain logging.

  3. Test detection with 15 tools: ChatGPT, Claude, Perplexity, Midjourney, Poe, etc.

  4. Run the Haiku classifier on captured logs.

  5. Add the top five employee-safe alternatives into the policy.

  6. Turn on Slack incident alerts for high-risk categories only.

6) Metrics

  • Number of flagged off-policy tools per week

  • Percentage of staff using only approved tools

  • High-risk incidents prevented

  • Time spent reviewing tool usage

  • Reduction in shadow-AI tools over 30 days

Pro Tip: Don’t fight shadow AI—redirect it. Give people approved tools that actually feel good to use.

🎯 The Arsenal — Tools & Prompts

Copy-paste prompt block:

You are my AI usage risk evaluator.
Classify the tool:
- function
- data exposure level
- compliance conflict
Return: Low, Medium, or High.
Keep it tight.

💡 Free Office Hours

Want help implementing anything? Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

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🕹️ Game Over

Approve the right tools and the wrong ones disappear.

Aaron Automating the boring. Amplifying the brilliant.