🎮 The Next Input — Issue #193

Why the Five Eyes are Watching Claude

Author

Aaron Bost
June 23, 2026

In partnership with

Watching You Samuel L Jackson GIF

⚡ The Briefing — 60 sec

  • Anthropic's Claude Fable raises national security concerns The headline for me is actually quite simple: there is something called the Five Eyes? If AI capability is now showing up in national security conversations alongside intelligence alliances, we've officially left the "cool productivity tool" phase.

  • Students protest AI amid growing national concerns Ah, the joyful youth. But honestly, there might be something deeper here than simple counter-culture. Whenever a technology starts changing education, employment, and identity simultaneously, people tend to have feelings about it.

  • The growing list of tech layoffs where employers cited AI Don't worry. When CEOs of soulless corporations start dropping like flies, I'll be the first to post about it. Until then, the workforce conversation is only going to get louder.

🛠️ The Playbook — AI Social License Framework

Mission
Deploy AI in a way that earns trust from employees, customers, regulators, and stakeholders before resistance becomes a business problem.

Difficulty
Advanced

Build time
4–5 hours

ROI
Reduces adoption friction, improves workforce buy-in, and strengthens long-term AI deployment success.

0) Why This Matters

Most organisations think AI adoption is a technology challenge.

It's increasingly becoming a trust challenge.

The technical problems are getting easier.

The human problems are getting harder.

Questions organisations now face:

  • Will employees trust the system?

  • Will customers accept it?

  • Will regulators approve it?

  • Will leadership defend it?

  • Will the public understand it?

Ignoring those questions is becoming expensive.

1) Architecture

Component

Tool

Purpose

Owner

Failure mode

Communication layer

Teams

Stakeholder engagement

Leadership

Poor transparency

AI operations layer

OpenAI GPT-5.5 / Claude

Workflow execution

Operations

Trust erosion

Governance layer

Microsoft Entra ID

Identity and access controls

Security

Excessive permissions

Knowledge repository

Pinecone Pinecone

Policy and institutional memory

Compliance

Outdated guidance

Feedback system

Airtable

Captures workforce concerns

HR

Low participation

Audit framework

PostgreSQL

Tracks decisions and approvals

Governance

Missing accountability

2) Workflow

  1. Identify AI workflows planned for deployment.

  2. Conduct stakeholder impact assessments.

  3. Define governance, transparency, and approval requirements.

  4. Deploy workflows with communication plans attached.

  5. Capture employee and customer feedback continuously.

  6. Refine deployment based on adoption and trust metrics.

3) Example Prompts

Stakeholder Impact Prompt 

You are an AI governance advisor.

Assess the following AI initiative.

Identify:
- employee concerns
- customer concerns
- regulatory concerns
- reputational risks
- communication requirements

Provide mitigation recommendations.

AI Trust Assessment Prompt 

Review this AI deployment plan.

Evaluate:
- transparency
- accountability
- workforce impact
- governance maturity
- stakeholder acceptance

Provide a readiness score.

Executive Communication Prompt 

Draft an executive communication explaining an upcoming AI deployment.

Requirements:
- transparent
- practical
- non-technical
- addresses workforce concerns
- explains expected benefits
- explains governance controls

4) Guardrails

  • Communicate before deploying.

  • Maintain human accountability.

  • Monitor workforce sentiment continuously.

  • Document governance decisions.

  • Avoid surprise automation initiatives.

  • Establish escalation channels for concerns.

5) Pilot Rollout — 3 hours

  1. Select one upcoming AI deployment.

  2. Identify impacted stakeholders.

  3. Create a communication and governance plan.

  4. Establish feedback mechanisms.

  5. Launch with monitoring enabled.

  6. Review trust and adoption metrics weekly.

6) Metrics

  • Employee adoption rate

  • Stakeholder satisfaction

  • Governance compliance rate

  • Escalation frequency

  • Workforce sentiment score

  • Customer trust indicators

  • Deployment success rate

Pro Tip: The biggest AI risk isn't always technical failure. Sometimes it's people deciding they no longer trust the organisation deploying it.

🎯 The Arsenal — Tools & Platforms

  • OpenAI GPT-5.5 · workflow execution and analysis · Link

  • Anthropic Claude · policy analysis and governance support · Link

  • Pinecone Pinecone · institutional memory and policy retrieval · Link

  • Airtable Airtable · stakeholder feedback collection · Link

  • Microsoft Entra ID · governance and access management · Link

Copy-paste prompt block:

You are an AI adoption strategist.

Assess whether my organisation has the social license required for successful AI deployment.

Evaluate:
- employee readiness
- leadership alignment
- governance maturity
- customer impact
- communication strategy
- trust risks

Return:
1. readiness score
2. major concerns
3. mitigation strategies
4. communication plan
5. governance recommendations
6. success metrics

💡 Free Office Hours

The organisations moving fastest with AI aren't necessarily ignoring concerns. In many cases, they're addressing them earlier and more openly than everyone else.

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🕹️ Game Over

The first decade of AI was about capability.

The next decade might be about consent.

— Aaron Automating the boring. Amplifying the brilliant.

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