The Next Input — Issue #180

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⚡ The Briefing — 60 sec

• What ClickUp’s mass layoff tells us about the future of work The “turning shit into sugar” era begins. Companies are realising AI doesn’t just optimise workflows — it fundamentally changes how many humans are required to operate them.

• Commonwealth Bank boss warns of inevitable job losses as AI companion is tested Commbank might be next up. Once the major enterprise players publicly start framing AI companions as operational infrastructure, the floodgates probably don’t close again.

• Pope Leo urges world to slow down on AI use On a lighter note, the Pope apparently reads Tolkien now. But underneath the meme is a real question: are we actually redesigning work thoughtfully, or just accelerating because we can?

🛠️ The Playbook — AI Workforce Transition Engine

Mission
Design an AI augmentation system that improves operational throughput while keeping human oversight, trust, and transition planning intact.

Difficulty
Advanced

Build time
4–6 hours

ROI
Reduces operational costs while preventing chaotic AI adoption and workforce backlash.

0) Why This Matters

The next few years are going to be weird.

Some organisations will use AI to eliminate repetitive work and elevate staff into higher-leverage roles.

Others will blindly slash headcount, overload remaining teams, and discover six months later that institutional knowledge quietly evaporated out the door.

The winners here probably won’t be the companies with the most AI.
They’ll be the ones that redesign work intelligently.

1) Architecture

2) Workflow

1. Map repetitive operational tasks across the organisation.

2. Identify which tasks are suitable for AI augmentation versus full automation.

3. Build AI-assisted workflows with human approval checkpoints.

4. Capture institutional knowledge before workforce restructuring occurs.

5. Monitor operational throughput, quality, and staff sentiment continuously.

6. Iterate based on productivity gains and operational stability.

3) Example Prompts

Workflow Automation Prompt

You are an AI operations strategist.

Analyse the following business workflow.

Identify:
- repetitive low-leverage work
- tasks suitable for AI augmentation
- tasks requiring human oversight
- operational bottlenecks
- likely workforce impacts

Then recommend an implementation roadmap.

Knowledge Retention Prompt

Create a knowledge retention strategy for a company adopting AI automation.

The strategy must:
- preserve institutional knowledge
- minimise operational disruption
- reduce dependency on single employees
- support onboarding
- improve auditability

Executive Transition Prompt

Draft an executive briefing on AI workforce transition risks.

Include:
- operational opportunities
- workforce concerns
- governance considerations
- communication risks
- rollout recommendations

Keep tone pragmatic and non-alarmist.

4) Guardrails

• Avoid removing human oversight from critical workflows.

• Preserve institutional knowledge before restructuring teams.

• Monitor staff burnout and operational overload.

• Be transparent internally about AI adoption goals.

• Implement role-based access controls for AI systems.

• Continuously review AI quality and escalation pathways.

5) Pilot Rollout — 3 hours

1. Select one heavily repetitive operational process.

2. Map the workflow end-to-end.

3. Introduce AI augmentation for low-risk tasks first.

4. Add approval checkpoints for sensitive actions.

5. Measure productivity and staff feedback weekly.

6. Expand gradually instead of “big bang” deployment.

6) Metrics

• Hours saved per workflow

• Staff utilisation rates

• AI escalation frequency

• Operational error rates

• Institutional knowledge coverage

• Employee sentiment trends

• Productivity uplift

Pro Tip: Replacing repetitive work is easy. Replacing tribal knowledge you forgot to document is where companies get punched in the throat.

🎯 The Arsenal — Tools & Platforms

• OpenAI GPT-5 / Codex · workflow automation and operational execution · Link

• Microsoft Microsoft Teams · collaboration and approval workflows · Link

• Pinecone Pinecone · institutional memory and retrieval · Link

• Grafana Labs Grafana · operational monitoring and workforce analytics · Link

• Microsoft Entra ID · governance and access control · Link

Copy-paste prompt block:

You are an AI workforce transformation strategist.

Design an AI augmentation roadmap for a mid-sized organisation.

The roadmap must:
- improve operational throughput
- preserve institutional knowledge
- maintain governance and oversight
- minimise workforce disruption
- identify automation opportunities
- include measurable operational metrics

Return:
1. workflow analysis
2. automation candidates
3. governance controls
4. rollout phases
5. workforce risks
6. success metrics

💡 Free Office Hours

A lot of organisations are treating AI adoption as purely a technology project. Increasingly, it’s an organisational design problem with technical consequences attached to it.

Book here: https://calendly.com

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🕹️ Game Over

The AI era probably won’t belong to companies with the fewest humans.
It’ll belong to the companies that figure out where humans actually matter.

— Aaron Automating the boring. Amplifying the brilliant.

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