🎮 The Next Input — Issue #186

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⚡ The Briefing — 60 sec

• Apple's long-awaited AI Siri overhaul is finally here Finally. Siri doesn't suck. Well... hopefully. Apple has spent the better part of a decade making people lower their expectations every time they heard "Hey Siri." Maybe that's finally changing.

• Following Anthropic, OpenAI files confidentially for IPO $$$. We are rapidly approaching the point where the Frontier Labs are no longer just research companies. They're becoming economic superpowers with balance sheets to match.

• Deloitte forecasts 2026 as the year of AI disruption for Australian jobs Funny how "Big 4 Consultant" didn't seem to make the list though. Curious omission given half the PowerPoints in Australia are currently being generated by AI already.

🛠️ The Playbook — AI Workforce Copilot

Mission
Deploy AI as a force multiplier for employees before disruption becomes something that happens to the organisation instead of for it.

Difficulty
Intermediate

Build time
3–5 hours

ROI
Increases employee output, reduces administrative burden, and helps organisations adapt before workforce disruption arrives.

0) Why This Matters

The biggest AI mistake organisations are making right now?

Thinking the disruption arrives when jobs disappear.

It doesn't.

The disruption arrives when one employee suddenly becomes worth two.

Then three.

Then five.

The companies that prepare now can augment their workforce deliberately instead of scrambling when competitors suddenly start moving twice as fast.

1) Architecture

2) Workflow

1. Employees submit requests through approved channels.

2. AI classifies and prioritises tasks.

3. Relevant company knowledge is retrieved automatically.

4. AI drafts outputs, recommendations, or actions.

5. Employees review and approve where required.

6. Outcomes are measured and fed back into workflow optimisation.

3) Example Prompts

Workforce Augmentation Prompt

You are an AI productivity strategist.

Review the following role.

Identify:
- repetitive work
- administrative burden
- reporting overhead
- communication bottlenecks
- opportunities for AI augmentation

Estimate potential time savings.

Executive Readiness Prompt

Analyse the following organisation.

Identify:
- departments most exposed to AI disruption
- departments most likely to benefit from AI augmentation
- quick wins
- implementation risks
- governance requirements

Provide a 90-day roadmap.

Digital Employee Prompt

You are an AI chief of staff.

Review the following tasks.

Prioritise:
- urgent items
- high-leverage opportunities
- risks requiring escalation
- actions that can be automated
- actions requiring human judgement

Return a ranked action plan.

4) Guardrails

• Never automate critical decisions without oversight.

• Maintain clear ownership of outputs.

• Log AI-assisted actions.

• Regularly review workforce impacts.

• Protect sensitive organisational knowledge.

• Continuously benchmark AI quality and usefulness.

5) Pilot Rollout — 3 hours

1. Select one knowledge-worker-heavy team.

2. Identify repetitive administrative tasks.

3. Deploy AI copilots into existing workflows.

4. Introduce retrieval grounding and governance controls.

5. Measure productivity gains for two weeks.

6. Expand based on measurable outcomes.

6) Metrics

• Time saved per employee

• Administrative workload reduction

• Employee adoption rate

• Task completion speed

• Workflow automation coverage

• Employee satisfaction

• Productivity uplift

Pro Tip: The organisations that win AI adoption won't necessarily hire fewer people. They'll make every person dramatically more effective.

🎯 The Arsenal — Tools & Platforms

• Microsoft Teams · employee interaction layer · Link

• OpenAI GPT-5.5 · reasoning and execution support · Link

• Pinecone Pinecone · organisational memory and retrieval · Link

• Microsoft Entra ID · governance and permissions · Link

• Grafana Labs Grafana · adoption and performance monitoring · Link

Copy-paste prompt block:

You are an AI workforce transformation consultant.

Review my organisation and identify where AI copilots could create the highest ROI.

Analyse:
- repetitive work
- administrative overhead
- reporting requirements
- communication bottlenecks
- knowledge management issues

Return:
1. top opportunities
2. expected time savings
3. implementation roadmap
4. governance requirements
5. risks
6. success metrics

💡 Free Office Hours

Most businesses are still debating whether AI disruption is coming. The more useful question is whether your competitors are already deploying it.

Book here: https://calendly.com

The GTM bets that shouldn't have worked, and did

One grew revenue 50x after half his team quit over the strategy. One brought in 50K signups in a single day with no paid budget. One generated 100M+ views from a stunt that took 50 hours to conceive. One asked every prospect to demo the product themselves instead of demoing it for them.

None of them followed the safe playbook. They treated GTM like an experiment, moved before they had proof, and made bets most founders would never get approved.

HubSpot for Startups documented all 6 stories in the free Bold Bets Playbook. The risks they took, why it was risky, and what it returned.

Read the free Bold Bets Playbook

🕹️ Game Over

The future of work probably isn't humans versus AI.

It's humans with AI versus humans without it.

— Aaron Automating the boring. Amplifying the brilliant.

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