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How to Create an Internal AI Marketplace to Crowdsource Automations

Build an internal marketplace where employees post automation needs as Quests, find coworkers who want to build them, and share finished tools across the company. Add business impact, risk, and ownership so useful ideas can move without joining the main product roadmap.

How to Create an Internal AI Marketplace to Crowdsource Automations

Source episode · 06:10

How I AI: John Kim's Playbook for AI Transformation with Quests, Skills, and 'AI Gods'

with Claire Vo

John shows an internal Automators platform where employees submit Quests, form teams, build automations, and earn experience points for completed work.

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Before you start

What you need

  • A list of recurring problems or automation requests from employees
  • Submission fields for the problem, team benefiting, estimated time saved, and data risk
  • An approved internal app template or deployment path for completed tools

What you’ll make

A searchable queue of internal automation requests that employees can claim, build, and return as reusable tools or skills.

Tools used

Step by step

The workflow

Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.

6 steps

Step01

Establish a 'Quest' Submission Platform

Create a simple internal Quest board where any employee can request an automation or AI tool. Keep it separate from the core product roadmap so small, useful ideas have a place to move quickly.

Example prompt
Quest title: [short name]

Problem: [What repetitive or frustrating job needs to change?]

Current process: [How is it done today, and how often?]

Who benefits: [team or role]

Expected impact: [hours or weeks saved, risk reduced, or customer impact]

Data and access: [systems involved and sensitivity]

What good looks like: [observable result that would make this Quest complete]
Step02

Define the Need and Business Impact

Require the requester to estimate the practical value and identify any sensitive systems or data. These fields help builders choose useful Quests and keep the work on an approved path.

Step03

Enable Team Formation ('Parties')

Make the list of open Quests visible to the entire company. Allow interested employees, such as engineers or AI-savvy marketers, to form a 'Party' to tackle a Quest they find interesting.

Step04

Build and Submit the Solution

Build the smallest version that solves the stated problem, using the approved internal template when the tool needs authentication or deployment. Submit the working link, repository, or reusable skill to the Quest.

Step05

Implement a Gamification System

Incorporate a rewards system to drive engagement. Award 'Experience Points' (XP) to participants for completing Quests.

Step06

Offer Tangible Rewards and Recognition

Reward completed work with visible recognition, experience points, or small perks. Tie the reward to requester acceptance and reuse so the marketplace values working tools.

What good looks like

  • Every Quest names the problem, beneficiary, expected impact, and data risk.
  • A builder can claim a Quest and submit a working tool, repository, or skill.
  • Completed Quests remain discoverable so another team can reuse the work.
  • Rewards reflect shipped and adopted work, not the number of requests submitted.

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After the steps

Runbook notes

How to recover when the loop fails and where human judgment helps.

Recover

If it goes sideways

Quest submissions describe a desired tool without explaining the underlying job or impact.
Return the request with a short template asking for the current process, who feels the pain, frequency, time spent, and the result that would count as useful.
Promising prototypes stall because builders do not know how to handle authentication, data access, or deployment.
Give builders a vetted starter application with authentication, logging, approved data connections, and an internal deployment path already configured.
The rewards system encourages quick submissions that nobody uses.
Award most points after the requester confirms the tool works and another person can run or reuse it.

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