Multipliers Playbook
Your guide to multiplying AI.
The principles, practices, and mindset of an AI Multiplier. Your reference guide for scaling AI adoption back home.
Why Multipliers Exist
It happens on a Monday morningwhen someone on your team opens their laptop and — instead of spending two hours building a report from scratch — tries a new approach for the first time. And it works.
That moment doesn’t happen by accident. It happens because someone nearby created the conditions for that person to try.
The AI Multiplier role exists because concentrated knowledge doesn’t scale. When people like you — embedded in teams, fluent in real business problems — start translating AI potential into daily practice, adoption expands.
The Problem You Can Solve
In every organization, there’s a gap between what AI can do and what everyday people actually use. That gap isn’t technological. The gap is human: a lack of nearby examples, a lack of someone to demonstrate that it works, a lack of a trusted contact who can answer “how do I do this?” without jargon.
You can be the one to close that gap.
7 Principles of an AI Multiplier
Bring it to practice
Theory without an example doesn’t multiply. Every time you introduce AI, connect it to something real in their day-to-day. One concrete case from their own area is worth more than ten well-explained concepts.
Show, don’t tell
A 90-second screen recording of you solving a real problem is worth more than any training slide. Your example gives others permission to try.
Learn by doing
You don’t need to know everything to start. When you learn alongside your team — making mistakes, adjusting, trying again — you create collective confidence.
Spread good ideas
A well-told case is worth more than a training session. When you document what worked and share it, you multiply for real.
Show up where it counts
Multiplying happens in the right moments, not all moments. The strategic Multiplier isn’t always present — it’s the one who shows up when it actually matters.
See opportunities
Every meeting contains a problem AI can help with. Train your eye to spot those moments: a manual process, a summarization task, an analysis nobody has time to do.
Create rhythm
Multiplication doesn’t happen in an event — it happens in consistency. Regular actions, frequent check-ins, sustained presence. You need rhythm.
What You Do
Here are some ways this role can show up — pick what fits your context and your team’s moment.
You keep channels active
Share regular content: cases, useful prompts, updates, experiment results. Make it easy for people to stay curious.
You identify opportunities
Pay attention to team routines, mapping where AI can generate the most impact and prioritizing what to experiment with first.
You support colleagues
Answer questions, help when someone gets stuck, and walk alongside people trying AI for the first time.
You bring cases
Document what works in your area and share it with the Multiplier community, contributing to collective learning.
You connect the area with leadership
Update leadership with metrics and results, creating space for more experiments and greater autonomy.
What Can You Multiply?
Being a Multiplier isn’t about being an expert in everything. It’s about knowing what’s worth sharing— and finding the right angle for the people in front of you.
Personal Productivity
Using AI to do your own work faster — writing, research, summarizing, preparing for meetings. The easiest entry point.
Examples
Summarize a 40-page document in 2 minutes. Draft your weekly status update in under 5 minutes.
Skills & Prompt Crafting
Teaching people how to talk to AI effectively — better prompts, iteration, frameworks like OCANES.
Examples
Run a 30-minute prompt challenge. Share a before/after prompt comparison.
Area Problems
Find processes in your area that AI can improve — recurring tasks, information bottlenecks, reporting friction.
Examples
Map the top 3 most repetitive tasks. Run an AI Lab on one specific team pain point.
Apps & Dashboards
Create tools that outlive a single conversation — apps, dashboards, agents that handle recurring tasks.
Examples
Build a weekly report generator. Create a FAQ bot for your area’s most common questions.
Skills Sharing
Create reusable ToqanClaw skills that your team and others across Prosus can install and benefit from.
Examples
Publish a “Meeting Summary” skill anyone can use. Create a contract review template.
Mindsets & Frameworks
The most valuable things to multiply aren’t tools — they’re ways of thinking. Problem Framing, Curious Mindset, AI as a Thinking Partner.
Examples
Run a 20-minute session on “how to spot an AI-worthy problem.” Share a real case where AI changed a decision.
You don’t need to multiply all of these at once. Read your area, pick what fits the moment, and go from there.